Mathematical Programming for Operations Researchers and Computer Scientist

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.

Info autore

Albert G. Holzman

Dettagli sul prodotto

• Autori: Holzman, Albert G. Holzman, Holzman Albert G.
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 01.06.1981
• Categoria: Scienze umane, arte, musica > Arte > Architettura d'interni, design; Guide e manuali; Scienze naturali, medicina, informatica, tecnica > Matematica > Altro
• EAN: 9780824714994
• ISBN: 978-0-8247-1499-4
• Numero di pagine: 392
• Serie: Industrial Engineering: A Series of Reference Books and Textboo
• Categorie: MATHEMATICS / Applied, Multicriteria analysis, Applied mathematics, Discrete Optimization, Simplex Method, Fixed point, Operations research methods, Linear Complementarity Problem, Geometric Programming, Basic Feasible Solution, mathematical modeling techniques, Kuhn Tucker Conditions, Primal Simplex Method, Player II, LP Problem, advanced optimization theory, nonlinear programming applications, computational optimization algorithms, Pure Strategies, Nonlinear Complementarity Problem, Karush Kuhn Tucker Point, Pivot Column, Cutting Plane Method, Dual Variables, Nonbasic Variable, Utility Independent, Goal Programming Model, Integer Problem, Efficient Extreme Points, Optimum Integer Solution, Dual Objective Function, Implicit Enumeration Method