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fix: removing unecessary files
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@ -1,6 +1,6 @@
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function x = adamspc(functs, init, interval, stepsize)
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% obtain first five steps from RK4
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[x, derivs] = rk4(functs, init, interval, stepsize, 5);
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[x, derivs] = RK4(functs, init, interval, stepsize, 5);
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x = x(2:end, :);
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% define coefficient tables
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@ -1,49 +0,0 @@
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% solve ODE system using RK4 with constant step size
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function [x, derivativesTable] = RK4(equations, initialValues, interval, stepSize, maxSteps)
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x = initialValues;
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derivativesTable = buildDerivatiesTable(x, equations);
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% Calculate stepCount
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stepCount = ceil((interval(2) - interval(1)) / stepSize);
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if nargin == 5
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stepCount = min(stepCount, maxSteps - 1);
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end % IF we include max steps in our function input
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% (nargin is number of arguments in input)
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% then choose smaller number between maxSteps and stepCount and choose
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% it for stepCount
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[x, derivativesTable] = rk4Loop(x, stepCount, stepSize, equations, derivativesTable);
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% append arguments to output
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x = [interval(1):stepSize:(stepCount * stepSize); x];
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end
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function derivativesTable = buildDerivatiesTable(x, equations)
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derivativesTable = zeros(size(x));
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for eqnum = 1:size(equations, 1)
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derivativesTable(eqnum, 1) = equations{eqnum}(x(:, 1));
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end
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end
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function [x, derivativesTable] = rk4Loop(x, stepCount, stepSize, equations, derivativesTable)
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for step = 1 : stepCount
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[x, derivativesTable] = rk4stepLoop(x, step, equations, stepSize, derivativesTable);
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end
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end
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function [x, derivativesTable] = rk4stepLoop(x, step, equations, stepSize, derivativesTable)
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stepValue = x(:, step);
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[x, derivativesTable] = equationsLoop(x, equations, stepValue, stepSize, step, derivativesTable);
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end
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function [x, derivativesTable] = equationsLoop(x, equations, stepValue, stepSize, step, derivativesTable)
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for equationNumber = 1 : 2
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Phi = RK4Phi(equations{equationNumber}, stepValue, stepSize);
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x(equationNumber, step + 1) = x(equationNumber, step) + stepSize * Phi;
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derivativesTable(equationNumber, step + 1) = equations{equationNumber}(x(:, step + 1));
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end
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end
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@ -1,61 +0,0 @@
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% automatic step size variant of RK4
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function [x, sizes, errors] = RK4Automatic(equations, initialValues, interval, initialStepSize, relativeEpsilon, absoluteEpsilon)
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% set start points of output
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args = interval(1);
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x = initialValues;
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% initialize output plots
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sizes = double.empty();
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errors = double.empty();
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% integrate function until end of interval reached
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stepsize = initialStepSize;
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step = 0;
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while 1
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% obtain the preceding function values
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step = step + 1;
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stepval = x(:, step);
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% advance output function
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for eqnum = 1:size(equations, 1)
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% generic single-step iteration
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phi = RK4Phi(equations{eqnum}, stepval, stepsize);
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x(eqnum, step + 1) = x(eqnum, step) + stepsize * phi;
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end
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% stop algorithm if function integrated over the whole interval
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args(step + 1) = args(step) + stepsize;
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if args(end) >= interval(2); break; end
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% also calculate next step using two half-steps
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for substep = 1:2
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for eqnum = 1:size(equations, 1)
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phi = RK4Phi(equations{eqnum}, stepval, stepsize / 2);
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stepval(eqnum) = stepval(eqnum) + (stepsize / 2) * phi;
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end
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end
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% calculate step correction factor
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alpha = Inf;
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for eqnum = 1:size(equations, 1)
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% calculate approximation error
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delta = abs(stepval(eqnum) - x(eqnum, step + 1)) / 15;
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errors(step) = delta;
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% calculate equation-specific alpha
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epsilon = abs(stepval(eqnum)) * relativeEpsilon + absoluteEpsilon;
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eqalpha = epsilon / delta;
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% minimum alpha wins
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if eqalpha < alpha; alpha = eqalpha; end
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end
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alpha = alpha ^ (1/5);
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% correct step size with safety factor
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stepsize = 0.9 * alpha * stepsize;
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sizes(step) = stepsize;
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end
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% append arguments to output
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x = [args; x];
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end
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