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Optimization
*Linear Programming
*Quadratic Programming
*Unconstrained Optimization
*Constrained Optimization, Nonlinear Programming
*Linear Least Squares
*Constrained Nonlinear Least Squares
*Box-bounded Global Optimization
*Global Optimization, costly functions
*Mixed-Integer Programming
*Mixed-Integer Quadratic Programming
*Mixed-Integer Nonlinear Programming
*Semi-definite Programming

Global Optimization, costly functions (CPU-intensive)

Recommended Downloads:

TOMLAB /SOL and
TOMLAB /CGO
TOMLAB /LGO

For global optimization problems with expensive function evaluations the TOMLAB /CGO routines rbfSolve or EGO are the best choices, using state-of-the-art response surface techniques. The TOMLAB Base Module routines glcFast and glbFast can also be used in time-consuming runs to verify properties of the problem. They implement deterministic DIRECT algorithms. The many solver options in TOMLAB /LGO should also be considered when working on tough global optimization problems.

Solver reference:

TOMLAB /CGO - rbfSolve
TOMLAB /CGO - ego
TOMLAB Base Module - glcCluster
TOMLAB Base Module - glbFast
TOMLAB Base Module - glcFast

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