1st Edition
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.
Preface
Contributors
Introduction
1 Linear Programming
Albert G. Holzman
2 Integer Programming
Hamdy A. Taha
3 Game theory
William F. Lucas
4 Goal Programming
Sang M. Lee
5 Multicriteria Decision Making
James S. Dyer, Rakesh K. Sarin
6 Quadratic Programming
Vince sposito
7 Complementarity Problems
Katta G. Murty
8 Geometric Programming
Don T. Phillips
9 Fixed Point Computing Methods
R. Saigal
10 Classical Optimization
Leon Cooper
11 Nonlinear Programming
Mordecai Avriel
Index
Biography
Albert G. Holzman
