view +sbp/+implementations/d4_variable_2.m @ 1037:2d7ba44340d0 feature/burgers1d

Pass scheme specific parameters as cell array. This will enabale constructDiffOps to be more general. In addition, allow for schemes returning function handles as diffOps, which is currently how non-linear schemes such as Burgers1d are implemented.
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Fri, 18 Jan 2019 09:02:02 +0100
parents 43d02533bea3
children
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% Returns D2 as a function handle
function [H, HI, D1, D2, D4, e_l, e_r, M4, d2_l, d2_r, d3_l, d3_r, d1_l, d1_r] = d4_variable_2(m,h)
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    %%% 4:de ordn. SBP Finita differens         %%%
    %%% operatorer framtagna av Ken Mattsson    %%%
    %%%                                         %%%
    %%% 6 randpunkter, diagonal norm            %%%
    %%%                                         %%%
    %%% Datum: 2013-11-11                       %%%
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

    BP = 2;
    if(m < 2*BP)
        error('Operator requires at least %d grid points', 2*BP);
    end

    % Norm
    Hv = ones(m,1);
    Hv(1) = 1/2;
    Hv(m) = 1/2;
    Hv = h*Hv;
    H = spdiag(Hv, 0);
    HI = spdiag(1./Hv, 0);

    % Boundary operators
    e_l = sparse(m,1);
    e_l(1) = 1;
    e_r = rot90(e_l, 2);

    d1_l = sparse(m,1);
    d1_l(1:3) = 1/h*[-3/2 2 -1/2];
    d1_r = -rot90(d1_l, 2);

    d2_l = sparse(m,1);
    d2_l(1:3) = 1/h^2*[1 -2 1];
    d2_r = rot90(d2_l, 2);

    d3_l = sparse(m,1);
    d3_l(1:4) = 1/h^3*[-1 3 -3 1];
    d3_r = -rot90(d3_l, 2);


    % First derivative SBP operator, 1st order accurate at first 6 boundary points
    stencil = [-1/2, 0, 1/2];
    diags = [-1 0 1];
    Q = stripeMatrix(stencil, diags, m);

    D1 = HI*(Q - 1/2*e_l*e_l' + 1/2*e_r*e_r');

    % Second derivative, 1st order accurate at first boundary points
    M = sparse(m,m);

    scheme_width = 3;
    scheme_radius = (scheme_width-1)/2;
    r = (1+scheme_radius):(m-scheme_radius);

    function D2 = D2_fun(c)
        Mm1 = -c(r-1)/2 - c(r)/2;
        M0  =  c(r-1)/2 + c(r)   + c(r+1)/2;
        Mp1 =            -c(r)/2 - c(r+1)/2;

        M(r,:) = spdiags([Mm1 M0 Mp1],0:2*scheme_radius,length(r),m);

        M(1:2,1:2) = [c(1)/2 + c(2)/2 -c(1)/2 - c(2)/2; -c(1)/2 - c(2)/2 c(1)/2 + c(2) + c(3)/2;];
        M(m-1:m,m-1:m) = [c(m-2)/2 + c(m-1) + c(m)/2 -c(m-1)/2 - c(m)/2; -c(m-1)/2 - c(m)/2 c(m-1)/2 + c(m)/2;];
        M = 1/h*M;

        D2 = HI*(-M - c(1)*e_l*d1_l' + c(m)*e_r*d1_r');
    end
    D2 = @D2_fun;

    % Fourth derivative, 0th order accurate at first 6 boundary points
    stencil = [1, -4, 6, -4, 1];
    diags = -2:2;
    M4 = stripeMatrix(stencil, diags, m);

    M4_U = [
         0.13e2/0.10e2 -0.12e2/0.5e1   0.9e1/0.10e2   0.1e1/0.5e1;
        -0.12e2/0.5e1   0.26e2/0.5e1  -0.16e2/0.5e1   0.2e1/0.5e1;
         0.9e1/0.10e2  -0.16e2/0.5e1   0.47e2/0.10e2 -0.17e2/0.5e1;
         0.1e1/0.5e1    0.2e1/0.5e1   -0.17e2/0.5e1   0.29e2/0.5e1;
    ];

    M4(1:4,1:4) = M4_U;
    M4(m-3:m,m-3:m) = rot90(M4_U, 2);
    M4 = 1/h^3*M4;

    D4=HI*(M4 - e_l*d3_l'+e_r*d3_r' + d1_l*d2_l'-d1_r*d2_r');
end