Article
Article
- Mathematics
- Applied mathematics
- Linear programming
Linear programming
Article By:
Johnson, Ellis L. School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
Cottle, Richard W. Department of Management Science and Engineering, Huang Engineering Center, Stanford University, Stanford, California.
Last reviewed:January 2020
DOI:https://doi.org/10.1036/1097-8542.384200
- General problem
- Transportation problem
- Dual problem
- Simplex method
- Interior method
- Integer programming
- Computation
- Applications
- Related Primary Literature
- Additional Reading
An area of mathematics concerned with the minimization (or maximization) of a linear function of several variables subject to linear equations and inequalities. Linear programming developed from three main areas: transportation problems, game theory, and input-output models. Work on all these areas took place before and during World War II, with independent major contributions by L. V. Kantorovich, J. von Neumann, W. Leontief, and T. C. Koopmans. The subject in its present form was created in 1947, when G. B. Dantzig defined the general model and proposed the first, and still the most widely used, algorithm for its solution: the simplex method.
The content above is only an excerpt.
for your institution. Subscribe
To learn more about subscribing to AccessScience, or to request a no-risk trial of this award-winning scientific reference for your institution, fill in your information and a member of our Sales Team will contact you as soon as possible.
to your librarian. Recommend
Let your librarian know about the award-winning gateway to the most trustworthy and accurate scientific information.
About AccessScience
AccessScience provides the most accurate and trustworthy scientific information available.
Recognized as an award-winning gateway to scientific knowledge, AccessScience is an amazing online resource that contains high-quality reference material written specifically for students. Contributors include more than 10,000 highly qualified scientists and 46 Nobel Prize winners.
MORE THAN 8700 articles covering all major scientific disciplines and encompassing the McGraw-Hill Encyclopedia of Science & Technology and McGraw-Hill Yearbook of Science & Technology
115,000-PLUS definitions from the McGraw-Hill Dictionary of Scientific and Technical Terms
3000 biographies of notable scientific figures
MORE THAN 19,000 downloadable images and animations illustrating key topics
ENGAGING VIDEOS highlighting the life and work of award-winning scientists
SUGGESTIONS FOR FURTHER STUDY and additional readings to guide students to deeper understanding and research
LINKS TO CITABLE LITERATURE help students expand their knowledge using primary sources of information