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%% Linear Least Squares with Nondefault Options % This example shows how to use nondefault options for linear least % squares. %% % Set options to use the |'interior-point'| algorithm and to give iterative % display. options = optimoptions('lsqlin','Algorithm','interior-point','Display','iter'); %% % Set up a linear least-squares problem. C = [0.9501 0.7620 0.6153 0.4057 0.2311 0.4564 0.7919 0.9354 0.6068 0.0185 0.9218 0.9169 0.4859 0.8214 0.7382 0.4102 0.8912 0.4447 0.1762 0.8936]; d = [0.0578 0.3528 0.8131 0.0098 0.1388]; A = [0.2027 0.2721 0.7467 0.4659 0.1987 0.1988 0.4450 0.4186 0.6037 0.0152 0.9318 0.8462]; b = [0.5251 0.2026 0.6721]; %% % Run the problem. x = lsqlin(C,d,A,b,[],[],[],[],[],options)