What Is Optimization Toolbox?
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What Is Optimization Toolbox?

What Is Optimization Toolbox? What Is Optimization Toolbox?

cda.psych.uiuc.edu
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12.07.2015 Views

fminsearchNotesfminsearch is not the preferred choice for solving problems that aresums of squares, that is, of the formInstead use the lsqnonlin function, which has been optimized forproblems of this form.ReferencesSee Also[1] Lagarias, J. C., J. A. Reeds, M. H. Wright, and P. E. Wright,“Convergence Properties of the Nelder-Mead Simplex Method in LowDimensions,” SIAM Journal of Optimization, Vol. 9,Number1,pp.112–147, 1998.@ (function_handle), fminbnd, fminunc, optimset, optimtool,anonymous functions8-74

fminuncPurposeEquationFind minimum of unconstrained multivariable functionFinds the minimum of a problem specified bywhere x is a vector and f(x) is a function that returns a scalar.SyntaxDescriptionx = fminunc(fun,x0)x = fminunc(fun,x0,options)[x,fval] = fminunc(...)[x,fval,exitflag] = fminunc(...)[x,fval,exitflag,output] = fminunc(...)[x,fval,exitflag,output,grad] = fminunc(...)[x,fval,exitflag,output,grad,hessian] = fminunc(...)fminunc attempts to find a minimum of a scalar function of severalvariables, starting at an initial estimate. This is generally referred to asunconstrained nonlinear optimization.x = fminunc(fun,x0) starts at the point x0 and attempts to find alocal minimum x of the function described in fun. x0 can be a scalar,vector, or matrix.x = fminunc(fun,x0,options) minimizes with the optimizationoptions specified in the structure options. Useoptimset to set theseoptions.[x,fval] = fminunc(...) returns in fval the value of the objectivefunction fun at the solution x.[x,fval,exitflag] = fminunc(...) returns a value exitflag thatdescribes the exit condition.[x,fval,exitflag,output] = fminunc(...) returns a structureoutput that contains information about the optimization.[x,fval,exitflag,output,grad] = fminunc(...) returns in gradthe value of the gradient of fun at the solution x.8-75

fminsearchNotesfminsearch is not the preferred choice for solving problems that aresums of squares, that is, of the formInstead use the lsqnonlin function, which has been optimized forproblems of this form.ReferencesSee Also[1] Lagarias, J. C., J. A. Reeds, M. H. Wright, and P. E. Wright,“Convergence Properties of the Nelder-Mead Simplex Method in LowDimensions,” SIAM Journal of <strong>Optimization</strong>, Vol. 9,Number1,pp.112–147, 1998.@ (function_handle), fminbnd, fminunc, optimset, optimtool,anonymous functions8-74

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