opti_fsolve

Solve a SNLE using an OPTI solver (e.g. HYBRJ)

Syntax

x = opti_fsolve(fun,x0)

[x,fval,exitflag,info,Opt] = opti_fsolve(fun,x0,opts)

Description

x = opti_fsolve(fun,x0,xdata,ydata) solves the nonlinear equation problem with equation vector specified by fun, using initial guess x0.

[x,fval,exitflag,info,Opt] = opti_fsolve(fun,x0,opts) allows the user to specify additional options via opts, created from optiset. This includes being able to specify the solver used via the 'solver' field. Also returned is the function value at the solution, exitflag, plus information structure and internally created OPTI object.

Typical Use

This function is provided for users who are familiar with the Matlab Optimization Toolbox and its routines, and wish to experiment with OPTI toolbox routines without major code changes. It is suggested once you are familiar with the OPTI class and creating it, to use it explicitly rather than calling this function.

Specifying a Gradient

In order to specify the gradient of the objective function, it can be supplied in Matlab format as a second output argument of fun, for example:

function [fun,grad] = myfun(x)

Unlike the Matlab equivalent, the OPTI function will automatically determine the second argument and use it as the first derivative in the internal solver algorithm.