2018Palgrave Macmillan UK eBooksRequires access

Linear Programming

Rajeev Bhattacharya

Open publisher page 0 citations

Abstract

An optimization problem with a linear objective function and linear constraints is called a linear programming problem. A vector satisfying the inequality and non-negative constraints is called a feasible solution. If a linear programming problem and its dual have feasible solutions, then both have optimal solutions, and the value of the optimal solution is the same for both. If either the program or its dual does not have a feasible solution, then neither has an optimal vector. The simplex method is a simple method of solving a linear programming problem.

About this research paper

What this paper is about

An optimization problem with a linear objective function and linear constraints is called a linear programming problem. A vector satisfying the inequality and non-negative constraints is called a feasible solution. If a linear programming problem and its dual have feasible solutions, then both have optimal solutions, and the value of the optimal solution is the same for both. If either the program or its dual does not have a feasible solution, then neither has an optimal vector. The simplex method is a simple method of solving a linear programming problem.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

An optimization problem with a linear objective function and linear constraints is called a linear programming problem. A vector satisfying the inequality and non-negative constraints is called a feasible solution. If a linear programming problem and its dual have feasible solutions, then both have optimal solutions, and the value of the optimal solution is the same for both. If either the program or its dual does not have a feasible solution, then neither has an optimal vector. The simplex method is a simple method of solving a linear programming problem.

Key concepts: Linear-fractional programming, Linear programming, Simplex algorithm, Mathematical optimization, Criss-cross algorithm, Mathematics, Simple (philosophy), Dual (grammatical number)

Related papers

Back to paper searchBrowse research topicsOriginal source
Linear Programming — Research Paper | ScholarLens