Matlab Code for Plotting Sample Clauses

Matlab Code for Plotting. Mean Squared Error function [utility,analyticutility]=PlotErrorOneStepProblem( ) points = 1:5; nPaths = 10.ˆpoints; problem = CreateParametersOneStepProblem(); niterations = 100; error = zeros(length(nPaths),length(niterations)); [ ~,~,analyticutility,~ ] ... = AnalyticObjective(problem,problem.nSteps,problem.gamma); %analytic results for j = 1:niterations for i = 1:length(nPaths) initialwealth = problem.initialwealth; initialstockprice = problem.initialstockprice; initialliability = problem.initialliability; dt = problem.dt; [ ~,utility ] = OptimisebyFmincon( problem,nPaths(i),... initialwealth,initialstockprice,initialliability,dt ); %simulate by Fmincon fct error(i,j) = abs(utility + analyticutility(1,problem.nSteps)); end end MeanSquareError = mean(error.ˆ2,2); loglog(nPaths,MeanSquareError,'-ko',... 'MarkerSize',8,... 'LineWidth',1); xlabel('Number of Paths'); ylabel('Mean-Square Difference of Utility'); set(gca,'fontsize',12); end
Sample 1
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