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MULTIMIN

## Purpose

This function minimizes a multidimensional function based on
Powell's conjugate direction method, described in Numerical
Recipes 3rd ed., ch 10.7.1. It repeatedly minimizes the function
along a given 1D direction, and tries to choose new directions
which don't spoil previous minimizations.
The code is adapted from the pseudocode in ch 10.7.1 of Numerical
Recipes 3rd ed. However, the actual code was written independently
from the code in that book.

## Category

Numerical Recipes

## Calling Sequence

result = multimin(func, point, [fmin = fmin, tol = tol, _extra =
extra, /verbose)

## Inputs

func: String name of a function to minimize. The function must have
a calling sequence like function func, x, _extra = extra. x must be
a n-element vector. Extra keywords passed to multimin will be
relayed to calls of func.
point: A seed point to start the minimization at. An n-element
array.

## Keyword Parameters

fmin: Set to a variable to hold the value of the function at the
minimum value.
tol: The fractional accuracy of the minimum location. Default is
1d-4.
verbose: Produce extra output.
step: The rough scale of the function to minimize. This is the
length of the first step taken during each line
minimization. Default is 1.

## Outputs

The location of the minimum

## Modification History

June 2009: Written by Chris Beaumont.
April 2010: Tweaked parameter checking. cnb.

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