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TT

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27 Mar 2013 FMINLBFGS: Fast Limited Memory Optimizer Quasi newton limited memory BFGS and Steepest decent optimizer for large amount of unknowns Author: Dirk-Jan Kroon

Hi, as a beginner, I have some problems under the condition that there are two known variables, let's say that the objective function is f =sin(x)+cos(y) and the gradient function is obviously g = cos(x)-sin(y), how to modify the example.m, since I have no idea that how to assign the initial values, when I set the values of x and y all equal to 1, the result suggests that the dimensions is not matched. Can anybody help me to modify myfun.m and example.m to give the right answer? Thank you so much.

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