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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

Constrained Optimization, Nonlinear Programming (NLP)

Recommended Downloads:

TOMLAB /SOL
TOMLAB /OQNLP
TOMLAB /KNITRO

The premier solver for sparse NLP problems are TOMLAB /SNOPT and TOMLAB /KNITRO. KNITRO is preferred only if second derivatives can be supplied. For dense problems TOMLAB /NPSOL is recommended. TOMLAB /MINOS, TOMLAB /CONOPT and TOMLAB /OQNLP also solve constrained nonlinear programs. PDCO in TOMLAB Base Module handle nonlinear problems with linear constraints only. TOMLAB /LGO is suitable for smaller dense problems.

Solver reference:

TOMLAB /CONOPT
TOMLAB /SNOPT - SNOPT
TOMLAB /MINOS - MINOS
TOMLAB /LGO
TOMLAB Base Module - conSolve
TOMLAB Base Module - nlpSolve
TOMLAB Base Module - pdco
TOMLAB Base Module - pdsco

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