运筹学：决策方法

1 Network Models 1.1 Basic Definitions 1.2 Shortest Path Problems 1.3 Maximum Flow Problems 1.4 CPM and PERT 1.5 Minimum Cost Network Flow Problems 1.6 Minimum Spanning Tree Problems 1.7 The Network Simplex Method2 Decision Making Under Uncertainty 2.1 Decision Criteria 2.2 Utility Theory 2.3 Decision Trees 2.4 Bayes'Rule and Decision Trees 2.5 Decision Making With the Normal Distribution3 Decision Making with Multiple Objectives

1 Network Models 1.1 Basic Definitions 1.2 Shortest Path Problems 1.3 Maximum Flow Problems 1.4 CPM and PERT 1.5 Minimum Cost Network Flow Problems 1.6 Minimum Spanning Tree Problems 1.7 The Network Simplex Method2 Decision Making Under Uncertainty 2.1 Decision Criteria 2.2 Utility Theory 2.3 Decision Trees 2.4 Bayes'Rule and Decision Trees 2.5 Decision Making With the Normal Distribution3 Decision Making with Multiple Objectives 3.1 Multiattribute Decision Making in the Absence of Uncertainty：Goal Programming 3.2 Multiattribute Utility Functions 3.3 The Analytic Hierarchy Process 3.4 Pareto Optimality and Tradeoff Curves4 Game Theory 4.1 Two-Person Zero-sum and Constant-Sum Games：Saddle Points 4.2 Two-Person Zero-Sum Games：Randomized Strategies，Domination，and Graphical Solution 4.3 Linear Programming and Zero-Sum Games 4.4 Two-Person Non-Constant-Sum Games 4.5 Introduction to n-Person Game Theory 4.6 The Core of an n-Person Game 4.7 The Shapley Value5 Probabilistic Dynamic Programming 5.1 When Current Stage Costs Are Uncertain，but the Next Period’s State Is Certain 5.2 A Probabilistic Inventory Model 5.3 How to Maximize the Probability of a Favorable Event Occurring 5.4 Further Examples of Probabilistic Dynamic Programming Formulations 5.5 Markov Decision Processes

由WINSTON编纂的《OPERATIONS RESEARCH》（第3版）一书系统全面地讲解了运筹学的有关内容，是一本在境外被普遍使用的教科书。其特点是重点介绍各种原理和方法的基本概念及其应用、而省略抽象的推理及详细的证明过程，同时每个章节都有丰富的例子和大量的练习题。
《运筹学（决策方法）》（第3版）由WINSTON一书中的第8，13，14，15，21章组成，主要内容包括：网络模型、不确定性环境下的决策、多目标决策、对策论、概率动态规划。本书可作为工科类及管理类的本科生教材。