商品簡介
Operations Research uses a balanced combination of theory, applications and computations to help you learn the basics of operating research (OR). It focuses on algorithmic and practical implementation of OR techniques. Easy-to-understand numerical examples explain often difficult math concepts, helping you grasp the foundational idea without getting stuck on complex theorems or notations. Full case studies and math-free anecdotes show how algorithms are used in real-life applications.
The 11th Edition introduces analytics, artificial intelligence, and machine learning topics that strengthen and streamline the decision-making processes involved in OR. New stories, 3 new chapters, new case studies and sections provide an up-to-date introduction to the field of OR.
作者簡介
作者：Hamdy A. Taha
現職：University of Arkansas
目次
Ch 1 Overview of OR, Analytics, and AI in Decision Making
Ch 2 Modeling with Linear Programming
Ch 3 The Simplex Method and Sensitivity Analysis
Ch 4 Duality and Post-Optimal Analysis
Ch 5 Transportation Model and Its Variants
Ch 6 Network Models
Ch 7 Advanced Linear Programming
Ch 8 Stochastic Linear Programming
Ch 9 Integer Linear Programming
Ch10 Heuristic and Constraint Programming
Ch11 Traveling Salesperson Problem (TSP)
Ch12 Dynamic Programming
Ch13 Inventory Modeling
Ch14 Yield Management
Ch15 Decision Analysis and Games
Ch16 Markov Chains
Ch17 Markovian Decision Process
Ch18 Queuing Systems
Ch19 Discrete Event and Monte Carlo Simulations
Ch20 Classical Optimization Theory
Ch21 Nonlinear Programming Algorithms
Ch22 Case Analysis
Appendices A: Statistical Tables
Appendices B: Partial Answers to Selected Problems
Appendices C: AMPL Modeling Language
Appendices D: Review of Vectors and Matrices
Appendices E: Review of Basic Probability
Appendices F: Forecasting Models
