Man pages for optfntools
Tools for assisting the preparation and testing of objective functions for optimization.
| axsearch | Perform axial search around a supposed minimum and provide... |
| bmchk | Check bounds and masks for parameter constraints used in... |
| bmstep | Compute the maximum step along a search direction. |
| fnchk | Run tests, where possible, on user objective function |
| gHgen | Generate gradient and Hessian for a function at given... |
| gHgenb | Generate gradient and Hessian for a function at given... |
| grback | Backward difference numerical gradient approximation. |
| grcentral | Central difference numerical gradient approximation. |
| grchk | Run tests, where possible, on user objective function and... |
| 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... |
| kktc | Check Kuhn Karush Tucker conditions for a supposed function... |
| optfntools-package | A set of functions that wrap user objective, gradient and... |
| optstart | Create scratchpad for holding optimization control variables. |
| scalecheck | Check the scale of the initial parameters and bounds input to... |
| ufn | Wrap user objective function for optimization tools |
| ugHgenb | Generate gradient and Hessian for a function at given... |
| ugr | Wrapper for user gradient function for optimization tools |
| uhess | Wrapper for user Hessian function for optimization tools |
