What Is Optimization Toolbox?

lsqnonlinPurposeEquationSolve nonlinear least-squares (nonlinear data-fitting) problemsSolves nonlinear least-squares curve fitting problems of the formSyntaxDescriptionx = lsqnonlin(fun,x0)x = lsqnonlin(fun,x0,lb,ub)x = lsqnonlin(fun,x0,lb,ub,options)[x,resnorm] = lsqnonlin(...)[x,resnorm,residual] = lsqnonlin(...)[x,resnorm,residual,exitflag] = lsqnonlin(...)[x,resnorm,residual,exitflag,output] = lsqnonlin(...)[x,resnorm,residual,exitflag,output,lambda] = lsqnonlin(...)[x,resnorm,residual,exitflag,output,lambda,jacobian] = lsqnonlin(...)lsqnonlin solves nonlinear least-squares problems, including nonlineardata-fitting problems.Rather than compute the value f(x) (the sum of squares), lsqnonlinrequires the user-defined function to compute the vector-valued functionThen, in vector terms, you can restate this optimization problem aswhere x is a vector and F(x) is a function that returns a vector value.x = lsqnonlin(fun,x0) starts at the point x0 and finds a minimumof the sum of squares of the functions described in fun. fun should8-166