網絡流-理論.演算法與應用 (英文) 9787519283438 拉文德拉.阿胡亞 托馬斯.馬尼安提

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書名:網絡流-理論.演算法與應用 (英文)
ISBN:9787519283438
出版社:世界圖書出版公司
著編譯者:拉文德拉.阿胡亞 托馬斯.馬尼安提
頁數:846
所在地:中國大陸 *此為代購商品
書號:1583345
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內容簡介

本書全面介紹了經典的和現代的網路流技術,包括綜合的理論、演算法與應用。主要內容包括:路徑、樹與周期,演算法設計與分析,最大流與最小流演算法,分派與匹配,最小生成樹,拉格朗日鬆弛與網路優化等。書中包含大量練習題,拓展了本書的內容,便於教學。

目錄

PREFACE
1 INTRODUCTION
1 1 Introduction
1 2 Network Flow Problems
1 3 Applications
1 4 Summary
Reference Notes
Exercises
2 PATHS, TREES, AND CYCLES
2 1 Introduction
2 2 Notation and Definitions
2 3 Network Representations
2 4 Network Transformations
2 5 Summary
Reference Notes
Exercises
3 ALGORITHM DESIGN AND ANALYSIS
3 1 Introduction
3 2 Complexity Analysis
3 3 Developing Polynomial-Time Algorithms
3 4 Search Algorithms
3 5 Flow Decomposition Algorithms
3 6 Summary
Reference Notes
Exercises
4 SHORTEST PATHS: LABEL-SETTING ALGORITHMS
4 1 Introduction
4 2 Applications
4 3 Tree of Shortest Paths
4 4 Shortest Path Problems in Acyclic Networks
4 5 Dijkstra's Algorithm
4 6 Dial's Implementation
4 7 Heap Implementations
4 8 Radix Heap Implementation
4 9 Summary
Reference Notes
Exercises
5 SHORTEST PATHS: LABEL-CORRECTING ALGORITHMS
5 1 Introduction
5 2 Optimality Conditions
5 3 Generic Label-Correcting Algorithms
5 4 Special Implementations of the Modified Label-Correcting Algorithm,
5 5 Detecting Negative Cycles
5 6 All-Pairs Shortest Path Problem
5 7 Minimum Cost-to-Time Ratio Cycle Problem
5 8 Summary
Reference Notes
Exercises
6 MAXIMUM FLOWS: BASIC DEAS
6 1 Introduction
6 2 Applications
6 3 Flows and Cuts
6 4 Generic Augmenting Path Algorithm
6 5 Labeling Algorithm and the Max-Flow Min-Cut Theorem
6 6 Combinatorial Implications of the Max-Flow Min-Cut Theorem
6 7 Flows with Lower Bounds
6 8 Summary
Reference Notes
Exercises
7 MAXIMUM FLOWS: POLYNOMIAL ALGORITHMS
7 1 Introduction
7 2 Distance Labels
7 3 Capacity Scaling Algorithm
7 4 Shortest Augmenting Path Algorithm
7 5 Distance Labels and Layered Networks
7 6 Generic Preflow-Push Algorithm
7 7 FIFO Preflow-Push Algorithm
7 8 Highest-Label Preflow-Push Algorithm
7 9 Excess Scaling Algorithm
7 10 Summary
Reference Notes
Exercises
8 MAXIMUM FLOWS: ADDITIONAL TOPICS
8 1 Introduction
8 2 Flows in Unit Capacity Networks
8 3 Flows in Bipartite Networks
8 4 Flows in Planar Undirected Networks
8 5 Dynamic Tree
8 6 Implementations
8 7 Network Connectivity
8 8 All-Pairs Minimum Value Cut Problem
8 9 Summary
Reference Notes
Exercises
9 MINIMUM COST FLOWS: BABIC ALGORITHMS
9 1 Introduction
9 2 Applications
9 3 Optimality Conditions
9 4 Minimum Cost Flow Duality
9 5 Relating Optimal Flows to Optimal Node Potentials
9 6 Cycle-Canceling Algorithm and the Integrality Property
9 7 Successive Shortest Path Algorithm
9 8 Primal-Dual Algorithm
9 9 Out-of-Kilter Algorithm
9 10 Relaxation Algorithm
9 11 Sensitivity Analysis
9 12 Summary
Reference Notes
Exercises
10 MINIMUM COST FLOWB: POLYNOMIAL ALGORITHMS
10 1 Introduction
10 2 Capacity Scaling Algorithm
10 3 Cost Scaling Algorithm
10 4 Double Scaling Algorithm
10 5 Minimum Mean Cycle-Canceling Algorithm
10 6 Repeated Capacity Scaling Algorithm
10 7 Enhanced Capacity Scaling Algorithm
10 8 Summary
Reference Notes
Exercises
11 MINIMUM COST FLOWS: NETWORK SIMPLEX ALGORITHMS
11 1 Introduction
11 2 Cycle Free and Spanning Tree Solutions
11 3 Maintaining a Spanning Tree Structure
11 4 Computing Node Potentials and Flows
11 5 Network Simplex Algorithm
11 6 Strongly Feasible Spanning Trees
11 7 Network Simplex Algorithm for the Shortest Path Problem
11 8 Network Simplex Algorithm for the Maximum Flow Problem
11 9 Related Network Simplex Algorithms
11 10 Sensitivity Analysis
11 11 Relationship to Simplex Method
11 12 Unimodularity Property
11 13 Summary
Reference Notes
Exercises
12 ASSIGNMENTS AND MATCHINGS
12 1 Introduction
12 2 Applications
12 3 Bipartite Cardinality Matching Problem
12 4
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