Abstract
As one of the most widely used techniques in operations research, mathematical programming is defined as a means of maximizing a quantity known as objective function, subject to a set of constraints represented by equations and inequalities. Some known subtopics of mathematical programming are linear programming, nonlinear programming, multiobjective programming, goal programming, dynamic programming, and multilevel programming.
It is impossible to cover in a single chapter every concept of mathematical programming. This chapter introduces only the basic concepts and techniques of mathematical programming such that readers gain an understanding of them throughout the book.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Liu, B. (2009). Mathematical Programming. In: Theory and Practice of Uncertain Programming. Studies in Fuzziness and Soft Computing, vol 239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89484-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-89484-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89483-4
Online ISBN: 978-3-540-89484-1
eBook Packages: EngineeringEngineering (R0)