What Is Optimization Toolbox?

lsqcurvefitPurposeEquationSolve nonlinear curve-fitting (data-fitting) problems in least-squaressenseFind coefficients x that best fit the equationgiven input data xdata, and the observed output ydata, wherexdata andydata are vectors of length m and F (x, xdata) is a vector-valued function.The function lsqcurvefit usesthesamealgorithmaslsqnonlin. Itspurpose is to provide an interface designed specifically fordata-fittingproblems.SyntaxDescriptionx = lsqcurvefit(fun,x0,xdata,ydata)x = lsqcurvefit(fun,x0,xdata,ydata,lb,ub)x = lsqcurvefit(fun,x0,xdata,ydata,lb,ub,options)[x,resnorm] = lsqcurvefit(...)[x,resnorm,residual] = lsqcurvefit(...)[x,resnorm,residual,exitflag] = lsqcurvefit(...)[x,resnorm,residual,exitflag,output] = lsqcurvefit(...)[x,resnorm,residual,exitflag,output,lambda] = lsqcurvefit(...)[x,resnorm,residual,exitflag,output,lambda,jacobian] = lsqcurvefit(...)lsqcurvefit solves nonlinear data-fitting problems. lsqcurvefitrequires a user-defined function to compute the vector-valued functionF (x, xdata). The size of the vector returned by the user-defined functionmust be the same as the size of the vectors ydata and xdata.x = lsqcurvefit(fun,x0,xdata,ydata) starts at x0 and findscoefficients x to best fit the nonlinear function fun(x,xdata) to thedata ydata (in the least-squares sense). ydata mustbethesamesizeasthe vector (or matrix) F returned by fun.8-141