Description Usage Arguments Value Examples

View source: R/SphereOptimize.R

The function SphereOptimize conducts optimization on a unit sphere. If the size of neighbor near the initial value is specified, the L-BFGS-B opitmization algorithm will be called. Otherwise this function searches the whole unit sphere using Nelder-Mead algorithm by default. Other optimization methods are allowed.

1 | ```
SphereOptimize(par, fn, neighbor = NULL, ...)
``` |

`par` |
Initial values for the parameters to be optimized over. Must be in Cartesian coordinates and on a unit sphere. |

`fn` |
A function to be minimized (or maximized). |

`neighbor` |
Radius of neighbor to search for the optimal results. If not specified, this function will search for the whole unit sphere. |

`...` |
Extra arguments that can be passed to optim(). |

A list compose three items.

par The optimal restuls found.

value The value of fn corresponding to par.

method The optimization algorithm used.

1 2 3 4 5 6 7 8 |

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