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Introduction to Mathematical­ Programming

Rating
Format
Hardback, 560 pages
Published
United States, 1 January 1999

Intended for Mathematical Programming courses at the undergraduate level. Course can be found in business schools-especially MBA programs-as Management Science and Operations Research. Providing the background in mathematics departments, the course may also be called Linear Programming or Optimization. Necessary to begin using mathematical programming as a tool for managerial applications and beyond, this empowering guide helps students learn to recognize when a mathematical model can be useful and helps them develop an appreciation and understanding of the mathematics associated with the applied techniques. Formatted in a flexible framework to suit individual course needs, it presents self-contained chapters later in the book which are designed to work in the order an instructor deems most suitable.

For more information, please visit: http://www.math.cmu.edu/~rw1k/


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Product Description

Intended for Mathematical Programming courses at the undergraduate level. Course can be found in business schools-especially MBA programs-as Management Science and Operations Research. Providing the background in mathematics departments, the course may also be called Linear Programming or Optimization. Necessary to begin using mathematical programming as a tool for managerial applications and beyond, this empowering guide helps students learn to recognize when a mathematical model can be useful and helps them develop an appreciation and understanding of the mathematics associated with the applied techniques. Formatted in a flexible framework to suit individual course needs, it presents self-contained chapters later in the book which are designed to work in the order an instructor deems most suitable.

For more information, please visit: http://www.math.cmu.edu/~rw1k/

Product Details
EAN
9780132637657
ISBN
0132637650
Age Range
Other Information
illustrations
Dimensions
24.3 x 18.2 x 2.8 centimeters (0.95 kg)

Table of Contents



1. Introduction to the Problems.


2. Vectors and Matrices.


3. Linear Programming.


4. Network Models.


5. Unconstrained Extrema.


6. Constrained Extrema.


7. Integer Programming.


8. Introduction to Dynamic Programming.


9. Case Studies.


Appendix A. A Brief Introduction to Maple.


Appendix B. Introduction to Texas Instrument Calculators.


Appendix C. Selected Answers and Hints.


Appendix D. Brief Introductions to LINDO and LINGO.


References.


Index.

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