Mercurial > repos > public > sbplib
annotate +scheme/LaplaceCurvilinearMin.m @ 1210:5e7692ed7c7c feature/laplace_curvilinear_test
Add CG interface coupling
author | Martin Almquist <malmquist@stanford.edu> |
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date | Sun, 22 Sep 2019 19:05:17 -0700 |
parents | 6bc93c091682 |
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rev | line source |
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1 classdef LaplaceCurvilinearMin < scheme.Scheme |
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2 properties |
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3 m % Number of points in each direction, possibly a vector |
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4 h % Grid spacing |
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5 dim % Number of spatial dimensions |
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6 |
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7 grid |
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8 |
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9 order % Order of accuracy for the approximation |
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10 |
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11 a,b % Parameters of the operator |
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12 |
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13 |
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14 % Inner products and operators for physical coordinates |
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15 D % Laplace operator |
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16 H, Hi % Inner product |
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17 e_w, e_e, e_s, e_n |
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18 d_w, d_e, d_s, d_n % Normal derivatives at the boundary |
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19 H_w, H_e, H_s, H_n % Boundary inner products |
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20 Dx, Dy % Physical derivatives |
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21 M % Gradient inner product |
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22 |
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23 % Metric coefficients |
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24 J, Ji |
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25 a11, a12, a22 |
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26 K |
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27 x_u |
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28 x_v |
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29 y_u |
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30 y_v |
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31 s_w, s_e, s_s, s_n % Boundary integral scale factors |
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32 |
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33 % Inner product and operators for logical coordinates |
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34 H_u, H_v % Norms in the x and y directions |
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35 Hi_u, Hi_v |
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36 Hu,Hv % Kroneckerd norms. 1'*Hx*v corresponds to integration in the x dir. |
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37 Hiu, Hiv |
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38 du_w, dv_w |
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39 du_e, dv_e |
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40 du_s, dv_s |
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41 du_n, dv_n |
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42 |
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43 % Borrowing constants |
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44 theta_M_u, theta_M_v |
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45 theta_R_u, theta_R_v |
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46 theta_H_u, theta_H_v |
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47 |
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48 % Temporary, only used for nonconforming interfaces but should be removed. |
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49 lambda |
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50 |
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51 % Number of boundary points in minumum check |
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52 bp |
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53 end |
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54 |
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55 methods |
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56 % Implements a*div(b*grad(u)) as a SBP scheme |
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57 % TODO: Implement proper H, it should be the real physical quadrature, the logic quadrature may be but in a separate variable (H_logic?) |
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58 |
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59 function obj = LaplaceCurvilinearMin(g, order, a, b, opSet) |
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60 default_arg('opSet',@sbp.D2Variable); |
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61 default_arg('a', 1); |
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62 default_arg('b', @(x,y) 0*x + 1); |
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63 |
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64 % Number of boundary points in minimum check |
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65 switch order |
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66 case 2 |
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67 obj.bp = 2; |
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68 case 4 |
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69 obj.bp = 4; |
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70 case 6 |
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71 obj.bp = 7; |
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72 end |
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73 |
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74 % assert(isa(g, 'grid.Curvilinear')) |
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75 if isa(a, 'function_handle') |
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76 a = grid.evalOn(g, a); |
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77 end |
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78 a = spdiag(a); |
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79 |
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80 if isa(b, 'function_handle') |
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81 b = grid.evalOn(g, b); |
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82 end |
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83 |
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84 % If b is scalar |
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85 if length(b) == 1 |
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86 % b = b*speye(g.N(), g.N()); |
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87 b = b*ones(g.N(), 1); |
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88 end |
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89 b = spdiag(b); |
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90 |
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91 dim = 2; |
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92 m = g.size(); |
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93 m_u = m(1); |
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94 m_v = m(2); |
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95 m_tot = g.N(); |
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96 |
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97 % 1D operators |
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98 ops_u = opSet(m_u, {0, 1}, order); |
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99 ops_v = opSet(m_v, {0, 1}, order); |
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100 |
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101 h_u = ops_u.h; |
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102 h_v = ops_v.h; |
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103 |
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104 I_u = speye(m_u); |
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105 I_v = speye(m_v); |
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106 |
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107 D1_u = ops_u.D1; |
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108 D2_u = ops_u.D2; |
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109 H_u = ops_u.H; |
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110 Hi_u = ops_u.HI; |
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111 e_l_u = ops_u.e_l; |
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112 e_r_u = ops_u.e_r; |
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113 d1_l_u = ops_u.d1_l; |
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114 d1_r_u = ops_u.d1_r; |
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115 |
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116 D1_v = ops_v.D1; |
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117 D2_v = ops_v.D2; |
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118 H_v = ops_v.H; |
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119 Hi_v = ops_v.HI; |
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120 e_l_v = ops_v.e_l; |
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121 e_r_v = ops_v.e_r; |
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122 d1_l_v = ops_v.d1_l; |
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123 d1_r_v = ops_v.d1_r; |
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124 |
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125 |
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126 % Logical operators |
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127 Du = kr(D1_u,I_v); |
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128 Dv = kr(I_u,D1_v); |
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129 obj.Hu = kr(H_u,I_v); |
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130 obj.Hv = kr(I_u,H_v); |
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131 obj.Hiu = kr(Hi_u,I_v); |
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132 obj.Hiv = kr(I_u,Hi_v); |
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133 |
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134 e_w = kr(e_l_u,I_v); |
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135 e_e = kr(e_r_u,I_v); |
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136 e_s = kr(I_u,e_l_v); |
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137 e_n = kr(I_u,e_r_v); |
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138 obj.du_w = kr(d1_l_u,I_v); |
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139 obj.dv_w = (e_w'*Dv)'; |
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140 obj.du_e = kr(d1_r_u,I_v); |
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141 obj.dv_e = (e_e'*Dv)'; |
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142 obj.du_s = (e_s'*Du)'; |
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143 obj.dv_s = kr(I_u,d1_l_v); |
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144 obj.du_n = (e_n'*Du)'; |
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145 obj.dv_n = kr(I_u,d1_r_v); |
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146 |
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147 |
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148 % Metric coefficients |
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149 coords = g.points(); |
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150 x = coords(:,1); |
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151 y = coords(:,2); |
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152 |
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153 x_u = Du*x; |
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154 x_v = Dv*x; |
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155 y_u = Du*y; |
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156 y_v = Dv*y; |
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157 |
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158 J = x_u.*y_v - x_v.*y_u; |
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159 a11 = 1./J .* (x_v.^2 + y_v.^2); |
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160 a12 = -1./J .* (x_u.*x_v + y_u.*y_v); |
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161 a22 = 1./J .* (x_u.^2 + y_u.^2); |
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162 lambda = 1/2 * (a11 + a22 - sqrt((a11-a22).^2 + 4*a12.^2)); |
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163 |
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164 K = cell(dim, dim); |
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165 K{1,1} = spdiag(y_v./J); |
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166 K{1,2} = spdiag(-y_u./J); |
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167 K{2,1} = spdiag(-x_v./J); |
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168 K{2,2} = spdiag(x_u./J); |
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169 obj.K = K; |
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170 |
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171 obj.x_u = x_u; |
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172 obj.x_v = x_v; |
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173 obj.y_u = y_u; |
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174 obj.y_v = y_v; |
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175 |
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176 % Assemble full operators |
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177 L_12 = spdiag(a12); |
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178 Duv = Du*b*L_12*Dv; |
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179 Dvu = Dv*b*L_12*Du; |
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180 |
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181 Duu = sparse(m_tot); |
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182 Dvv = sparse(m_tot); |
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183 ind = grid.funcToMatrix(g, 1:m_tot); |
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184 |
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185 for i = 1:m_v |
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186 b_a11 = b*a11; |
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187 D = D2_u(b_a11(ind(:,i))); |
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188 p = ind(:,i); |
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189 Duu(p,p) = D; |
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190 end |
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191 |
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192 for i = 1:m_u |
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193 b_a22 = b*a22; |
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194 D = D2_v(b_a22(ind(i,:))); |
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195 p = ind(i,:); |
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196 Dvv(p,p) = D; |
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197 end |
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198 |
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199 |
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200 % Physical operators |
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201 obj.J = spdiag(J); |
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202 obj.Ji = spdiag(1./J); |
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203 |
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204 obj.D = obj.Ji*a*(Duu + Duv + Dvu + Dvv); |
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205 obj.H = obj.J*kr(H_u,H_v); |
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206 obj.Hi = obj.Ji*kr(Hi_u,Hi_v); |
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207 |
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208 obj.e_w = e_w; |
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209 obj.e_e = e_e; |
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210 obj.e_s = e_s; |
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211 obj.e_n = e_n; |
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212 |
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213 %% normal derivatives |
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214 I_w = ind(1,:); |
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215 I_e = ind(end,:); |
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216 I_s = ind(:,1); |
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217 I_n = ind(:,end); |
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218 |
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219 a11_w = spdiag(a11(I_w)); |
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220 a12_w = spdiag(a12(I_w)); |
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221 a11_e = spdiag(a11(I_e)); |
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222 a12_e = spdiag(a12(I_e)); |
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223 a22_s = spdiag(a22(I_s)); |
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224 a12_s = spdiag(a12(I_s)); |
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225 a22_n = spdiag(a22(I_n)); |
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226 a12_n = spdiag(a12(I_n)); |
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227 |
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228 s_w = sqrt((e_w'*x_v).^2 + (e_w'*y_v).^2); |
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229 s_e = sqrt((e_e'*x_v).^2 + (e_e'*y_v).^2); |
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230 s_s = sqrt((e_s'*x_u).^2 + (e_s'*y_u).^2); |
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231 s_n = sqrt((e_n'*x_u).^2 + (e_n'*y_u).^2); |
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232 |
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233 obj.d_w = -1*(spdiag(1./s_w)*(a11_w*obj.du_w' + a12_w*obj.dv_w'))'; |
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234 obj.d_e = (spdiag(1./s_e)*(a11_e*obj.du_e' + a12_e*obj.dv_e'))'; |
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235 obj.d_s = -1*(spdiag(1./s_s)*(a22_s*obj.dv_s' + a12_s*obj.du_s'))'; |
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236 obj.d_n = (spdiag(1./s_n)*(a22_n*obj.dv_n' + a12_n*obj.du_n'))'; |
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237 |
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238 obj.Dx = spdiag( y_v./J)*Du + spdiag(-y_u./J)*Dv; |
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239 obj.Dy = spdiag(-x_v./J)*Du + spdiag( x_u./J)*Dv; |
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240 |
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241 %% Boundary inner products |
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242 obj.H_w = H_v*spdiag(s_w); |
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243 obj.H_e = H_v*spdiag(s_e); |
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244 obj.H_s = H_u*spdiag(s_s); |
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245 obj.H_n = H_u*spdiag(s_n); |
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246 |
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247 % Misc. |
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248 obj.m = m; |
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249 obj.h = [h_u h_v]; |
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250 obj.order = order; |
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251 obj.grid = g; |
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252 obj.dim = dim; |
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253 |
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254 obj.a = a; |
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255 obj.b = b; |
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256 obj.a11 = a11; |
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257 obj.a12 = a12; |
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258 obj.a22 = a22; |
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259 obj.s_w = spdiag(s_w); |
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260 obj.s_e = spdiag(s_e); |
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261 obj.s_s = spdiag(s_s); |
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262 obj.s_n = spdiag(s_n); |
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263 |
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264 obj.theta_M_u = h_u*ops_u.borrowing.M.d1; |
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265 obj.theta_M_v = h_v*ops_v.borrowing.M.d1; |
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266 |
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267 obj.theta_R_u = h_u*ops_u.borrowing.R.delta_D; |
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268 obj.theta_R_v = h_v*ops_v.borrowing.R.delta_D; |
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269 |
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270 obj.theta_H_u = h_u*ops_u.borrowing.H11; |
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271 obj.theta_H_v = h_v*ops_v.borrowing.H11; |
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272 |
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273 % Temporary |
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274 obj.lambda = lambda; |
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275 end |
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276 |
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277 |
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278 % Closure functions return the opertors applied to the own doamin to close the boundary |
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279 % Penalty functions return the opertors to force the solution. In the case of an interface it returns the operator applied to the other doamin. |
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280 % boundary is a string specifying the boundary e.g. 'l','r' or 'e','w','n','s'. |
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281 % type is a string specifying the type of boundary condition if there are several. |
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282 % data is a function returning the data that should be applied at the boundary. |
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283 % neighbour_scheme is an instance of Scheme that should be interfaced to. |
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284 % neighbour_boundary is a string specifying which boundary to interface to. |
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285 function [closure, penalty] = boundary_condition(obj, boundary, type, parameter) |
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286 default_arg('type','neumann'); |
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287 default_arg('parameter', []); |
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288 |
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289 e = obj.getBoundaryOperator('e', boundary); |
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290 d = obj.getBoundaryOperator('d', boundary); |
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291 H_b = obj.getBoundaryQuadrature(boundary); |
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292 s_b = obj.getBoundaryScaling(boundary); |
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293 [th_H, ~, th_R] = obj.getBoundaryBorrowing(boundary); |
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294 m = obj.getBoundaryNumber(boundary); |
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295 |
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296 K = obj.K; |
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297 J = obj.J; |
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298 Hi = obj.Hi; |
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299 a = obj.a; |
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300 b_b = e'*obj.b*e; |
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301 b = obj.b; |
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302 |
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303 switch type |
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304 % Dirichlet boundary condition |
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305 case {'D','d','dirichlet'} |
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306 tuning = 1.0; |
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307 |
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308 sigma = 0*b; |
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309 for i = 1:obj.dim |
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310 sigma = sigma + b*J*K{i,m}*K{i,m}; |
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311 end |
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312 |
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313 % Minimum check on sigma |
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314 mx = obj.m(1); |
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315 my = obj.m(2); |
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316 bp = obj.bp; |
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317 sigma_mat = reshape(diag(sigma), my, mx); |
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318 switch boundary |
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319 case 'w' |
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320 sigma_min = min(sigma_mat(:,1:bp), [], 2); |
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321 sigma_mat = repmat(sigma_min, 1, mx); |
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322 case 'e' |
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323 sigma_min = min(sigma_mat(:,end-bp+1:end), [], 2); |
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324 sigma_mat = repmat(sigma_min, 1, mx); |
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325 case 's' |
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326 sigma_min = min(sigma_mat(1:bp,:), [], 1); |
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327 sigma_mat = repmat(sigma_min, my, 1); |
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328 case 'n' |
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329 sigma_min = min(sigma_mat(end-bp+1:end,:), [], 1); |
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330 sigma_mat = repmat(sigma_min, my, 1); |
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331 end |
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332 sigma_min = sigma_mat(:); |
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333 sigma_min = spdiag(sigma_min); |
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334 |
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335 % Window |
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336 sigma = e'*sigma*e; |
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337 sigma_min = e'*sigma_min*e; |
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338 |
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339 sigma = sigma/s_b; |
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340 sigma_min = sigma_min/s_b; |
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341 |
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342 tau = tuning*(1/th_R*sigma/sigma_min*sigma + obj.dim/th_H*sigma); |
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343 |
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344 closure = a*Hi*d*b_b*H_b*e' ... |
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345 -a*Hi*e*tau*H_b*e'; |
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346 |
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347 penalty = -a*Hi*d*b_b*H_b ... |
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348 +a*Hi*e*tau*H_b; |
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349 |
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350 |
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351 % Neumann boundary condition. Note that the penalty is for du/dn and not b*du/dn. |
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352 case {'N','n','neumann'} |
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353 tau1 = -1; |
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354 tau2 = 0; |
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355 tau = (tau1*e + tau2*d)*H_b; |
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356 |
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357 closure = a*Hi*tau*b_b*d'; |
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358 penalty = -a*Hi*tau*b_b; |
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359 |
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360 |
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361 % Unknown, boundary condition |
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362 otherwise |
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363 error('No such boundary condition: type = %s',type); |
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364 end |
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365 end |
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366 |
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367 % type Struct that specifies the interface coupling. |
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368 % Fields: |
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369 % -- tuning: penalty strength, defaults to 1.2 |
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370 % -- interpolation: type of interpolation, default 'none' |
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371 function [closure, penalty] = interface(obj,boundary,neighbour_scheme,neighbour_boundary,type) |
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372 |
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373 % error('Not implemented') |
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374 |
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375 defaultType.tuning = 1.0; |
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376 defaultType.interpolation = 'none'; |
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377 default_struct('type', defaultType); |
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378 |
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379 switch type.interpolation |
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380 case {'none', ''} |
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381 [closure, penalty] = interfaceStandard(obj,boundary,neighbour_scheme,neighbour_boundary,type); |
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382 case {'op','OP'} |
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383 [closure, penalty] = interfaceNonConforming(obj,boundary,neighbour_scheme,neighbour_boundary,type); |
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384 otherwise |
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385 error('Unknown type of interpolation: %s ', type.interpolation); |
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386 end |
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387 end |
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388 |
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389 function [closure, penalty] = interfaceStandard(obj,boundary,neighbour_scheme,neighbour_boundary,type) |
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390 tuning = type.tuning; |
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391 |
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392 dim = obj.dim; |
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393 % u denotes the solution in the own domain |
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394 % v denotes the solution in the neighbour domain |
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395 u = obj; |
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396 v = neighbour_scheme; |
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|
397 |
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398 % Boundary operators, u |
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399 e_u = u.getBoundaryOperator('e', boundary); |
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400 d_u = u.getBoundaryOperator('d', boundary); |
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401 s_b_u = u.getBoundaryScaling(boundary); |
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402 [th_H_u, ~, th_R_u] = u.getBoundaryBorrowing(boundary); |
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403 m_u = u.getBoundaryNumber(boundary); |
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|
404 |
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|
405 % Coefficients, u |
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406 K_u = u.K; |
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|
407 J_u = u.J; |
1139
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408 b_u = u.b; |
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409 b_b_u = e_u'*u.b*e_u; |
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|
410 |
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|
411 % Boundary operators, v |
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412 e_v = v.getBoundaryOperator('e', neighbour_boundary); |
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413 d_v = v.getBoundaryOperator('d', neighbour_boundary); |
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414 s_b_v = v.getBoundaryScaling(neighbour_boundary); |
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|
415 [th_H_v, ~, th_R_v] = v.getBoundaryBorrowing(neighbour_boundary); |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
416 m_v = v.getBoundaryNumber(neighbour_boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
417 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
418 % BUGFIX?!?!? |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
419 if (strcmp(boundary,'s') && strcmp(neighbour_boundary,'e')) || (strcmp(boundary,'e') && strcmp(neighbour_boundary,'s')) |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
420 e_v = fliplr(e_v); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
421 d_v = fliplr(d_v); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
422 s_b_v = rot90(s_b_v,2); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
423 end |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
424 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
425 % Coefficients, v |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
426 K_v = v.K; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
427 J_v = v.J; |
1139
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
428 b_v = v.b; |
1136
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
429 b_b_v = e_v'*v.b*e_v; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
430 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
431 %--- Penalty strength tau ------------- |
1139
6bc93c091682
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parents:
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diff
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|
432 sigma_u = 0*b_u; |
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parents:
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diff
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|
433 sigma_v = 0*b_v; |
1136
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
434 for i = 1:obj.dim |
1139
6bc93c091682
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|
435 sigma_u = sigma_u + b_u*J_u*K_u{i,m_u}*K_u{i,m_u}; |
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
436 sigma_v = sigma_v + b_v*J_v*K_v{i,m_v}*K_v{i,m_v}; |
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parents:
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|
437 end |
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Martin Almquist <malmquist@stanford.edu>
parents:
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|
438 |
6bc93c091682
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parents:
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|
439 %--- Minimum check on sigma_u ---- |
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|
440 mx = u.m(1); |
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|
441 my = u.m(2); |
6bc93c091682
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|
442 bp = u.bp; |
6bc93c091682
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parents:
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diff
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|
443 sigma_mat = reshape(diag(sigma_u), my, mx); |
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parents:
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|
444 switch boundary |
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parents:
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changeset
|
445 case 'w' |
6bc93c091682
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parents:
1136
diff
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|
446 sigma_min = min(sigma_mat(:,1:bp), [], 2); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
447 sigma_mat = repmat(sigma_min, 1, mx); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
448 case 'e' |
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parents:
1136
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|
449 sigma_min = min(sigma_mat(:,end-bp+1:end), [], 2); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
450 sigma_mat = repmat(sigma_min, 1, mx); |
6bc93c091682
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parents:
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|
451 case 's' |
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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|
452 sigma_min = min(sigma_mat(1:bp,:), [], 1); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
453 sigma_mat = repmat(sigma_min, my, 1); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
454 case 'n' |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
455 sigma_min = min(sigma_mat(end-bp+1:end,:), [], 1); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
456 sigma_mat = repmat(sigma_min, my, 1); |
1136
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
457 end |
1139
6bc93c091682
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parents:
1136
diff
changeset
|
458 sigma_min_u = sigma_mat(:); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
459 sigma_min_u = spdiag(sigma_min_u); |
6bc93c091682
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parents:
1136
diff
changeset
|
460 |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
461 % Window |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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|
462 sigma_u = e_u'*sigma_u*e_u; |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
463 sigma_min_u = e_u'*sigma_min_u*e_u; |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
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|
464 % ------------------------------- |
1136
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
465 |
1139
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
466 %--- Minimum check on sigma_v ---- |
6bc93c091682
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parents:
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|
467 mx = v.m(1); |
6bc93c091682
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parents:
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|
468 my = v.m(2); |
6bc93c091682
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parents:
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diff
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|
469 bp = v.bp; |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
470 sigma_mat = reshape(diag(sigma_v), my, mx); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
471 switch neighbour_boundary |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
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diff
changeset
|
472 case 'w' |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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changeset
|
473 sigma_min = min(sigma_mat(:,1:bp), [], 2); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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changeset
|
474 sigma_mat = repmat(sigma_min, 1, mx); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
475 case 'e' |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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|
476 sigma_min = min(sigma_mat(:,end-bp+1:end), [], 2); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
477 sigma_mat = repmat(sigma_min, 1, mx); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
478 case 's' |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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changeset
|
479 sigma_min = min(sigma_mat(1:bp,:), [], 1); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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changeset
|
480 sigma_mat = repmat(sigma_min, my, 1); |
6bc93c091682
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parents:
1136
diff
changeset
|
481 case 'n' |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
482 sigma_min = min(sigma_mat(end-bp+1:end,:), [], 1); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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changeset
|
483 sigma_mat = repmat(sigma_min, my, 1); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
484 end |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
485 sigma_min_v = sigma_mat(:); |
6bc93c091682
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parents:
1136
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changeset
|
486 sigma_min_v = spdiag(sigma_min_v); |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
487 |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
488 % Window |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
489 sigma_v = e_v'*sigma_v*e_v; |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
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changeset
|
490 sigma_min_v = e_v'*sigma_min_v*e_v; |
6bc93c091682
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parents:
1136
diff
changeset
|
491 % ------------------------------- |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
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diff
changeset
|
492 |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
493 sigma_u = sigma_u/s_b_u; |
6bc93c091682
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parents:
1136
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|
494 sigma_min_u = sigma_min_u/s_b_u; |
6bc93c091682
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parents:
1136
diff
changeset
|
495 |
6bc93c091682
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parents:
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|
496 sigma_v = sigma_v/s_b_v; |
6bc93c091682
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1136
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changeset
|
497 sigma_min_v = sigma_min_v/s_b_v; |
6bc93c091682
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parents:
1136
diff
changeset
|
498 |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
499 tau_R_u = 1/th_R_u*sigma_u/sigma_min_u*sigma_u; |
6bc93c091682
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Martin Almquist <malmquist@stanford.edu>
parents:
1136
diff
changeset
|
500 tau_R_v = 1/th_R_v*sigma_v/sigma_min_v*sigma_v; |
1136
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
501 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
502 tau_H_u = dim*1/th_H_u*sigma_u; |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
503 tau_H_v = dim*1/th_H_v*sigma_v; |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
504 |
1139
6bc93c091682
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diff
changeset
|
505 tau = 1/4*tuning*((tau_R_u + tau_H_u) + (tau_R_v + tau_H_v)); |
1136
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
506 %-------------------------------------- |
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Martin Almquist <malmquist@stanford.edu>
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diff
changeset
|
507 |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
508 % Operators/coefficients that are only required from this side |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
509 Hi = u.Hi; |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
510 H_b = u.getBoundaryQuadrature(boundary); |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
511 a = u.a; |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
512 |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
513 closure = 1/2*a*Hi*d_u*b_b_u*H_b*e_u' ... |
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Martin Almquist <malmquist@stanford.edu>
parents:
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changeset
|
514 -1/2*a*Hi*e_u*H_b*b_b_u*d_u' ... |
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Martin Almquist <malmquist@stanford.edu>
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diff
changeset
|
515 -a*Hi*e_u*tau*H_b*e_u'; |
eee71789f13b
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diff
changeset
|
516 |
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Martin Almquist <malmquist@stanford.edu>
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changeset
|
517 penalty = -1/2*a*Hi*d_u*b_b_u*H_b*e_v' ... |
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|
518 -1/2*a*Hi*e_u*H_b*b_b_v*d_v' ... |
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Martin Almquist <malmquist@stanford.edu>
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|
519 +a*Hi*e_u*tau*H_b*e_v'; |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
520 end |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
521 |
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changeset
|
522 function [closure, penalty] = interfaceNonConforming(obj,boundary,neighbour_scheme,neighbour_boundary,type) |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
523 |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
524 % TODO: Make this work for curvilinear grids |
eee71789f13b
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parents:
diff
changeset
|
525 warning('LaplaceCurvilinear: Non-conforming grid interpolation only works for Cartesian grids.'); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
526 warning('LaplaceCurvilinear: Non-conforming interface uses Virtas penalty strength'); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
527 warning('LaplaceCurvilinear: Non-conforming interface assumes that b is constant'); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
528 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
529 % User can request special interpolation operators by specifying type.interpOpSet |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
530 default_field(type, 'interpOpSet', @sbp.InterpOpsOP); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
531 interpOpSet = type.interpOpSet; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
532 tuning = type.tuning; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
533 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
534 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
535 % u denotes the solution in the own domain |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
536 % v denotes the solution in the neighbour domain |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
537 e_u = obj.getBoundaryOperator('e', boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
538 d_u = obj.getBoundaryOperator('d', boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
539 H_b_u = obj.getBoundaryQuadrature(boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
540 I_u = obj.getBoundaryIndices(boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
541 [~, gamm_u] = obj.getBoundaryBorrowing(boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
542 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
543 e_v = neighbour_scheme.getBoundaryOperator('e', neighbour_boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
544 d_v = neighbour_scheme.getBoundaryOperator('d', neighbour_boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
545 H_b_v = neighbour_scheme.getBoundaryQuadrature(neighbour_boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
546 I_v = neighbour_scheme.getBoundaryIndices(neighbour_boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
547 [~, gamm_v] = neighbour_scheme.getBoundaryBorrowing(neighbour_boundary); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
548 |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
549 |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
550 % Find the number of grid points along the interface |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
551 m_u = size(e_u, 2); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
552 m_v = size(e_v, 2); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
553 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
554 Hi = obj.Hi; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
555 a = obj.a; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
556 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
557 u = obj; |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
558 v = neighbour_scheme; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
559 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
560 b1_u = gamm_u*u.lambda(I_u)./u.a11(I_u).^2; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
561 b2_u = gamm_u*u.lambda(I_u)./u.a22(I_u).^2; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
562 b1_v = gamm_v*v.lambda(I_v)./v.a11(I_v).^2; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
563 b2_v = gamm_v*v.lambda(I_v)./v.a22(I_v).^2; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
564 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
565 tau_u = -1./(4*b1_u) -1./(4*b2_u); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
566 tau_v = -1./(4*b1_v) -1./(4*b2_v); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
567 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
568 tau_u = tuning * spdiag(tau_u); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
569 tau_v = tuning * spdiag(tau_v); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
570 beta_u = tau_v; |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
571 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
572 % Build interpolation operators |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
573 intOps = interpOpSet(m_u, m_v, obj.order, neighbour_scheme.order); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
574 Iu2v = intOps.Iu2v; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
575 Iv2u = intOps.Iv2u; |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
576 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
577 closure = a*Hi*e_u*tau_u*H_b_u*e_u' + ... |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
578 a*Hi*e_u*H_b_u*Iv2u.bad*beta_u*Iu2v.good*e_u' + ... |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
579 a*1/2*Hi*d_u*H_b_u*e_u' + ... |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
580 -a*1/2*Hi*e_u*H_b_u*d_u'; |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
581 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
582 penalty = -a*Hi*e_u*tau_u*H_b_u*Iv2u.good*e_v' + ... |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
583 -a*Hi*e_u*H_b_u*Iv2u.bad*beta_u*e_v' + ... |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
584 -a*1/2*Hi*d_u*H_b_u*Iv2u.good*e_v' + ... |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
585 -a*1/2*Hi*e_u*H_b_u*Iv2u.bad*d_v'; |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
586 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
587 end |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
588 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
589 % Returns the boundary operator op for the boundary specified by the string boundary. |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
590 % op -- string |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
591 % boundary -- string |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
592 function o = getBoundaryOperator(obj, op, boundary) |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
593 assertIsMember(op, {'e', 'd'}) |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
594 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
595 |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
596 o = obj.([op, '_', boundary]); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
597 end |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
598 |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
599 % Returns square boundary quadrature matrix, of dimension |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
600 % corresponding to the number of boundary points |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
601 % |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
602 % boundary -- string |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
603 function H_b = getBoundaryQuadrature(obj, boundary) |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
604 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
605 |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
606 H_b = obj.(['H_', boundary]); |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
607 end |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
608 |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
609 % Returns square boundary quadrature scaling matrix, of dimension |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
610 % corresponding to the number of boundary points |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
611 % |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
612 % boundary -- string |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
613 function s_b = getBoundaryScaling(obj, boundary) |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
614 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
615 |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
616 s_b = obj.(['s_', boundary]); |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
617 end |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
618 |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
619 % Returns the coordinate number corresponding to the boundary |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
620 % |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
621 % boundary -- string |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
622 function m = getBoundaryNumber(obj, boundary) |
eee71789f13b
Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
623 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
624 |
eee71789f13b
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
changeset
|
625 switch boundary |
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626 case {'w', 'e'} |
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627 m = 1; |
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parents:
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628 case {'s', 'n'} |
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Martin Almquist <malmquist@stanford.edu>
parents:
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629 m = 2; |
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630 end |
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631 end |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
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parents:
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632 |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
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parents:
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633 % Returns the indices of the boundary points in the grid matrix |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
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634 % boundary -- string |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
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parents:
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635 function I = getBoundaryIndices(obj, boundary) |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
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636 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
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parents:
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637 |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
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638 ind = grid.funcToMatrix(obj.grid, 1:prod(obj.m)); |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
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639 switch boundary |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
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640 case 'w' |
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parents:
diff
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641 I = ind(1,:); |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
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changeset
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642 case 'e' |
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Martin Almquist <malmquist@stanford.edu>
parents:
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643 I = ind(end,:); |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
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parents:
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changeset
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644 case 's' |
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Martin Almquist <malmquist@stanford.edu>
parents:
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645 I = ind(:,1)'; |
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parents:
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changeset
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646 case 'n' |
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647 I = ind(:,end)'; |
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parents:
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648 end |
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649 end |
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parents:
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650 |
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Martin Almquist <malmquist@stanford.edu>
parents:
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651 % Returns borrowing constant gamma |
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Add LaplaceCurvilinear schemes where the minimum check will be implemented. The Virta scheme will be used for comparison only.
Martin Almquist <malmquist@stanford.edu>
parents:
diff
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652 % boundary -- string |
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Martin Almquist <malmquist@stanford.edu>
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653 function [theta_H, theta_M, theta_R] = getBoundaryBorrowing(obj, boundary) |
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Martin Almquist <malmquist@stanford.edu>
parents:
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654 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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Martin Almquist <malmquist@stanford.edu>
parents:
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655 |
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Martin Almquist <malmquist@stanford.edu>
parents:
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656 switch boundary |
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Martin Almquist <malmquist@stanford.edu>
parents:
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657 case {'w','e'} |
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parents:
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658 theta_H = obj.theta_H_u; |
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659 theta_M = obj.theta_M_u; |
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parents:
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660 theta_R = obj.theta_R_u; |
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Martin Almquist <malmquist@stanford.edu>
parents:
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changeset
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661 case {'s','n'} |
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Martin Almquist <malmquist@stanford.edu>
parents:
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662 theta_H = obj.theta_H_v; |
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Martin Almquist <malmquist@stanford.edu>
parents:
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663 theta_M = obj.theta_M_v; |
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Martin Almquist <malmquist@stanford.edu>
parents:
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664 theta_R = obj.theta_R_v; |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
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665 end |
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Martin Almquist <malmquist@stanford.edu>
parents:
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666 end |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
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667 |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
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668 function N = size(obj) |
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Martin Almquist <malmquist@stanford.edu>
parents:
diff
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669 N = prod(obj.m); |
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parents:
diff
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670 end |
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parents:
diff
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|
671 end |
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672 end |