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Benders decomposition and Linear programming

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Benders decomposition and Linear programming

Benders decomposition vs. Linear programming

Benders decomposition (or Benders' decomposition) is a technique in mathematical programming that allows the solution of very large linear programming problems that have a special block structure. Linear programming (LP, also called linear optimization) is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships.

Similarities between Benders decomposition and Linear programming

Benders decomposition and Linear programming have 5 things in common (in Unionpedia): Block matrix, Column generation, Dantzig–Wolfe decomposition, Mathematical optimization, Stochastic programming.

Block matrix

In mathematics, a block matrix or a partitioned matrix is a matrix that is interpreted as having been broken into sections called blocks or submatrices.

Benders decomposition and Block matrix · Block matrix and Linear programming · See more »

Column generation

Column generation or delayed column generation is an efficient algorithm for solving larger linear programs.

Benders decomposition and Column generation · Column generation and Linear programming · See more »

Dantzig–Wolfe decomposition

Dantzig–Wolfe decomposition is an algorithm for solving linear programming problems with special structure.

Benders decomposition and Dantzig–Wolfe decomposition · Dantzig–Wolfe decomposition and Linear programming · See more »

Mathematical optimization

In mathematics, computer science and operations research, mathematical optimization or mathematical programming, alternatively spelled optimisation, is the selection of a best element (with regard to some criterion) from some set of available alternatives.

Benders decomposition and Mathematical optimization · Linear programming and Mathematical optimization · See more »

Stochastic programming

In the field of mathematical optimization, stochastic programming is a framework for modeling optimization problems that involve uncertainty.

Benders decomposition and Stochastic programming · Linear programming and Stochastic programming · See more »

The list above answers the following questions

Benders decomposition and Linear programming Comparison

Benders decomposition has 12 relations, while Linear programming has 179. As they have in common 5, the Jaccard index is 2.62% = 5 / (12 + 179).

References

This article shows the relationship between Benders decomposition and Linear programming. To access each article from which the information was extracted, please visit:

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