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annotate +multiblock/DiffOp.m @ 201:38f203f00f3a feature/grids

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Exeendend tests of multiblock.DiffOp.
author Jonatan Werpers <jonatan@werpers.com>
date Tue, 14 Jun 2016 15:07:34 +0200
parents 1fc2eeb4f4e6
children e2fefb6f0746
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186
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1 classdef DiffOp < scheme.Scheme
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2 properties
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3 grid
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4 order
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5 diffOps
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6 D
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7 H
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8 end
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9
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10 methods
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11 function obj = DiffOp(doHand, grid, order, doParam)
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12 % doHand -- may either be a function handle or a cell array of
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13 % function handles for each grid. The function handle(s)
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14 % should be on the form do = doHand(grid, order, ...)
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15 % Additional parameters for each doHand may be provided in
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16 % the doParam input.
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17 % grid -- a multiblock grid
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18 % order -- integer specifying the order of accuracy
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19 % doParam -- may either be a cell array or a cell array of cell arrays
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20 % for each block. If it is a cell array with length equal
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21 % to the number of blocks then each element is sent to the
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22 % corresponding function handle as extra parameters:
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23 % doHand(..., doParam{i}{:}) Otherwise doParam is sent as
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24 % extra parameters to all doHand: doHand(..., doParam{:})
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25 default_arg('doParam', [])
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26
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27 [getHand, getParam] = parseInput(doHand, grid, doParam);
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28
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29 nBlocks = grid.nBlocks();
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30
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31 obj.order = order;
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32
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33 % Create the diffOps for each block
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34 obj.diffOps = cell(1, nBlocks);
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35 for i = 1:nBlocks
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36 h = getHand(i);
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37 p = getParam(i);
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38 obj.diffOps{i} = h(grid.grids{i}, order, p{:});
186
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39 end
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40
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41
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42 % Build the norm matrix
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43 H = cell(nBlocks, nBlocks);
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44 for i = 1:nBlocks
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45 H{i,i} = obj.diffOps{i}.H;
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46 end
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47 obj.H = cell2sparse(H);
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48
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49
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50 % Build the differentiation matrix
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51 D = cell(nBlocks, nBlocks);
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52 for i = 1:nBlocks
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53 D{i,i} = obj.diffOps{i}.D;
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54 end
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55
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56 for i = 1:nBlocks
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57 for j = i:nBlocks
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58 intf = grid.connections{i,j};
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59 if isempty(intf)
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60 continue
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61 end
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62
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63 [ii, ij] = obj.diffOps{i}.interface(intf{1}, obj.diffOps{j}, intf{2});
186
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64 D{i,i} = D{i,i} + ii;
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65 D{i,j} = D{i,j} + ij;
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66
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67 [jj, ji] = obj.diffOps{j}.interface(intf{2}, obj.diffOps{i}, intf{1});
186
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68 D{j,j} = D{j,j} + jj;
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69 D{j,i} = D{j,i} + ji;
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70 end
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71 end
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72 obj.D = cell2sparse(D);
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73
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74 % end
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75
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76 function [getHand, getParam] = parseInput(doHand, grid, doParam)
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77 if ~isa(grid, 'multiblock.Grid')
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78 error('multiblock:DiffOp:DiffOp:InvalidGrid', 'Requires a multiblock grid.');
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79 end
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80
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81 if iscell(doHand) && length(doHand) == grid.nBlocks()
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82 getHand = @(i)doHand{i};
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83 elseif isa(doHand, 'function_handle')
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84 getHand = @(i)doHand;
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85 else
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86 error('multiblock:DiffOp:DiffOp:InvalidGridDoHand', 'doHand must be a function handle or a cell array of length grid.nBlocks');
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87 end
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88
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89 if isempty(doParam)
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90 getParam = @(i){};
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91 elseif iscell(doParam) && length(doParam) == grid.nBlocks()
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92 getParam = @(i)doParam{i};
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93 else
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94 getParam = @(i)doParam;
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95 end
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96 end
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97 end
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98
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99 function ops = splitOp(obj, op)
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100 % Splits a matrix operator into a cell-matrix of matrix operators for
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101 % each grid.
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102 ops = sparse2cell(op, obj.NNN);
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103 end
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105 function m = boundary_condition(obj,boundary,type,data)
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106
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107 end
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108
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109 function m = interface(obj,boundary,neighbour_scheme,neighbour_boundary)
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110
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111 end
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112
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113
201
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114 % Size returns the number of degrees of freedom
186
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115 function N = size(obj)
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116 N = 0;
201
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117 for i = 1:length(obj.diffOps)
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118 N = N + obj.diffOps{i}.size();
186
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119 end
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120 end
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121 end
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122 end