Optimization (mathematics): Difference between revisions
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imported>Igor Grešovnik (→Optimization solvers:: Added Optimization libraries) |
imported>Igor Grešovnik m (→See also: weighted least squares) |
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* [[Function minimization]] | * [[Function minimization]] | ||
* [[Linear programming]] | * [[Linear programming]] | ||
* [[Weighted least squares]] | |||
== External links == | == External links == |
Revision as of 07:23, 28 November 2007
In mathematics, the term optimization refers to study of problems in which one seeks for a minimum or a maximum of a real function within a given allowed set. This problem can be presented in the following way:
- Given: a function f : A R from some set A to the real numbers
- Find: an element x0 in A such that f(x0) ≤ f(x) for all x in A (minimization") or such that f(x0) ≥ f(x) for all x in A (maximization).
See also
External links
- Mathematical Programming Glossary
- Mathematical optimization
- NEOS Guide currently being replaced by the NEOS Wiki - an extensive guide to optimization software
- Decision Tree for Optimization Software Links to optimization source codes
- Mathematical Programming Society
- COIN-OR - Computational Infrastructure for Operations Research
- Global optimization
- Optimization Related Links
- Optimization Online A repository for optimization e-prints
Optimization solvers
- CONOPT
- JOpt
- Mosek
- SAS OR
- Free Optimization Software by Systems Optimization Laboratory, Stanford University
- TANGO Project - Trustable Algorithms for Nonlinear General Optimization
Optimization libraries
- OOL (Open Optimization library) - a set of optimization routines in C.
- IOptLib (Investigative Optimization Library) - a free open source library for development of optimization algorithms (ANSI C).
- ALGLIB Optimization sources. C++, C#, Delphi, Visual Basic.