GGOPT: an unconstrained non-linear optimizer
MetadataShow full item record
GGOPT is a derivative-free non-linear optimizer for smooth functions with added noise. If the function values arise from observations or from extensive computations, these errors can be considerable. GGOPT uses an adjustable mesh together with linear least squares to find smoothed values of the function, gradient and Hessian at the center of the mesh. These values drive a descent method that estimates optimal parameters. The smoothed values usually result in increased accuracy.
Comput Methods Programs Biomed. Author manuscript; available in PMC 2012 Jun 7