view +sbp/+implementations/d4_variable_2.m @ 1031:2ef20d00b386 feature/advectionRV

For easier comparison, return both the first order and residual viscosity when evaluating the residual. Add the first order and residual viscosity to the state of the RungekuttaRV time steppers
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Thu, 17 Jan 2019 10:25:06 +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