Package index • optextras

All functions
`axsearch()`	Perform axial search around a supposed minimum and provide diagnostics
`bmchk()`	Check bounds and masks for parameter constraints used in nonlinear optimization
`bmstep()`	Compute the maximum step along a search direction.
`ctrldefault()` `dispdefault()`	set control defaults
`fnchk()`	Run tests, where possible, on user objective function
`gHgen()`	Generate gradient and Hessian for a function at given parameters.
`gHgenb()`	Generate gradient and Hessian for a function at given parameters.
`grback()`	Backward difference numerical gradient approximation.
`grcentral()`	Central difference numerical gradient approximation.
`grchk()`	Run tests, where possible, on user objective function and (optionally) gradient and hessian
`grfwd()`	Forward difference numerical gradient approximation.
`grnd()`	A reorganization of the call to numDeriv grad() function.
`hesschk()`	Run tests, where possible, on user objective function and (optionally) gradient and hessian
`kktchk()`	Check Kuhn Karush Tucker conditions for a supposed function minimum
`optextras`	Tools to Support Optimization Possibly with Bounds and Masks
`scalechk()`	Check the scale of the initial parameters and bounds input to an optimization code used in nonlinear optimization

Reference