Linear programming
In mathematics, linear programming (LP) problems are optimization problems in which the objective function and the constraints are all linear.
Related Topics:
Optimization - Objective function - Constraints - Linear
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Linear programming is an important field of optimization for several reasons. Many practical problems in operations research can be expressed as linear programming problems. Certain special cases of linear programming, such as network flow problems and multicommodity flow problems are considered important enough to have generated much research on specialized algorithms for their solution. A number of algorithms for other types of optimization problems work by solving LP problems as sub-problems. Historically, ideas from linear programming have inspired many of the central concepts of optimization theory, such as duality, decomposition, and the importance of convexity and its generalizations.
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~ Table of Content ~
| ► | Introduction |
| ► | Standard form |
| ► | Augmented form (slack form) |
| ► | Duality |
| ► | Theory |
| ► | Algorithms |
| ► | Integer unknowns |
| ► | See also |
| ► | File formats |
| ► | Solver packages |
| ► | References |
| ► | External links |
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