Cantitate/Preț
Produs

Introduction to Operations Research: 2024 Release ISE

Autor Frederick Hillier, Gerald Lieberman
en Limba Engleză Paperback – 20 mai 2024
Introduction to Operations Research is the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the art, user-friendly software and more coverage of business applications than ever before. When the first co-author received the prestigious Expository Writing Award from INFORMS for the textbook, the award citation described the reasons for the book’s great success as follows:

“Two features account for this success. First, the editions have been outstanding from students’ points of view due to excellent motivation, clear and intuitive explanations, good examples of professional practice, excellent organization of material, very useful supporting software, and appropriate but not excessive mathematics. Second, the editions have been attractive from instructors’ points of view because they repeatedly infuse state-of-the-art material with remarkable lucidity and plain language.”
Citește tot Restrânge

Preț: 35905 lei

Preț vechi: 46578 lei
-23% Nou

Puncte Express: 539

Preț estimativ în valută:
6871 7206$ 5729£

Carte disponibilă

Livrare economică 19-25 decembrie
Livrare express 03-07 decembrie pentru 13778 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781266933226
ISBN-10: 1266933220
Pagini: 992
Dimensiuni: 203 x 254 x 36 mm
Greutate: 1.51 kg
Ediția:12
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States

Cuprins

1) Introduction
2) Overview of How Operations Research and Analytics Professionals Analyze Problems
3) Introduction to Linear Programming
4) Solving Linear Programming Problems: The Simplex Method
5) The Theory of the Simplex Method
6) Duality Theory
7) Linear Programming under Uncertainty
8) Other Algorithms for Linear Programming
9) The Transportation and Assignment Problems
10) Network Optimization Models
11) Dynamic Programming
12) Integer Programming
13) Nonlinear Programming
14) Metaheuristics
15) Game Theory
16) Decision Analysis
17) Queueing Theory
18) Inventory Theory
19) Markov Decision Processes
20) Simulation


Appendix 1 - Documentation for the OR Courseware
Appendix 2 - Convexity
Appendix 3 - Classical Optimization Methods
Appendix 4 - Matrices and Matrix Operations
Appendix 5 - Table for a Normal Distribution