Mathematical Programming for Operations Researchers and Computer Scientists
This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.
1128375118
Mathematical Programming for Operations Researchers and Computer Scientists
This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.
350.0 In Stock
Mathematical Programming for Operations Researchers and Computer Scientists

Mathematical Programming for Operations Researchers and Computer Scientists

by Albert G. Holzman
Mathematical Programming for Operations Researchers and Computer Scientists

Mathematical Programming for Operations Researchers and Computer Scientists

by Albert G. Holzman

eBook

$350.00 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.

Product Details

ISBN-13: 9781000146127
Publisher: CRC Press
Publication date: 11/25/2020
Series: Industrial Engineering: A Series of Reference Books and Textboo
Sold by: Barnes & Noble
Format: eBook
Pages: 392
File size: 78 MB
Note: This product may take a few minutes to download.

About the Author

Albert G. Holzman

Table of Contents

1. Introduction 2. Linear Programming 3. Integer Programming 4. Game Theory 5. Goal Programming 6. Multicriteria Decision Making 7. Quadratic Programming 8. Complementarity Problems 9. Geometric Programming 10. Fixed Point Computing Methods 11. Classical Optimization 12. Nonlinear Programming
From the B&N Reads Blog

Customer Reviews