view +rv/+time/BdfDerivative.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 4b42999874c0
children 010bb2677230
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classdef BdfDerivative < handle
    properties
        coefficients
    end
    methods %TBD: Decide if the BDF order should be passed in construction
            %     and only a row of coefficients stored based on the order.
            %     There would still be an implicit dependancy on the number
            %     of vectors in v_prev and elements in coefficients.
            %     In addition, dt could be stored, but this would be
            %     inflexible if different step sizes are employed.
        function obj = BdfDerivative()
            obj.coefficients = obj.getBdfCoefficients();
        end
        % Add asserts here?
        function DvDt = evaluate(obj, v, v_prev, dt)
            order = size(v_prev,2);
            DvDt = (obj.coefficients(order,1)*v - sum(obj.coefficients(order,2:order+1).*v_prev,2))/dt;
        end
    end
    methods(Static)
        function c = getBdfCoefficients()
            c = zeros(6,7);
            c(1,1) = 1; c(1,2) = 1;
            c(2,1) = 3/2; c(2,2) = 4/2; c(2,3) = -1/2;
            c(3,1) = 11/6; c(3,2) = 18/6; c(3,3) = -9/6; c(3,4) = 2/6;
            c(4,1) = 25/12; c(4,2) = 48/12; c(4,3) = -36/12; c(4,4) = 16/12; c(4,5) = -3/12;
            c(5,1) = 137/60; c(5,2) = 300/60; c(5,3) = -300/60; c(5,4) = 200/60; c(5,5) = -75/60; c(5,6) = 12/60;
            c(6,1) = 147/60; c(6,2) = 360/60; c(6,3) = -450/60; c(6,4) = 400/60; c(6,5) = -225/60; c(6,6) = 72/60; c(6,7) = -10/60;
        end
    end
end