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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

Linear Least Squares Optimization

Recommended Downloads:

TOMLAB /SOL
TOMLAB /CONOPT

In the TOMLAB /NPSOL or TOMLAB /SOL extension the LSSOL solver is suitable for dense linear least squares problems. In the TOMLAB Base Module the solver Tlsqr solves unconstrained sparse lls problems, the solver lsei solves the general dense problems, and the solver Tnnls is a fast and robust replacement for the Matlab nnls. The general least squares solver clsSolve may also be used.

Solver reference:

TOMLAB /NPSOL
TOMLAB /KNITRO
TOMLAB Base Module - Tlsqr
TOMLAB Base Module - lsei
TOMLAB Base Module - Tnnls
TOMLAB Base Module - clsSolve

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