A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
International Optical Design Conference 2002
The downhill simplex method of optimization is a "geometric" method to achieve function minimization. The standard algorithm uses arbitrary values for the deterministic factors that describe the "movement" of the simplex in the merit space. While it is a robust method of optimization, it is relatively slow to converge to local minima. However, its stability and the lack of use of derivates make it useful for optical design optimization, especially for the field of illumination. This paperdoi:10.1117/12.486465 fatcat:56cmy5zcuza2zjswyx2sowhsda