Minimize a function using a nonlinear conjugate gradient algorithm.
Parameters: |
|
---|---|
Returns: | (xopt, {fopt, func_calls, grad_calls, warnflag}, {allvecs})
|
Notes: | Optimize the function, f, whose gradient is given by fprime using the nonlinear conjugate gradient algorithm of Polak and Ribiere See Wright, and Nocedal ‘Numerical Optimization’, 1999, pg. 120-122. |
---|