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Java数据结构与算法分析
  • 书号:7030124987
    作者:(美)Mark Allen Weiss
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  • 页数:
    字数:800
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  • 出版社:科学出版社
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  • 所属分类:TP3 计算技术、计算机技术
  • 定价: ¥56.00元
    售价: ¥44.24元
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内容简介
本书介绍了常见的数据结构,如链表、堆栈、队列、树、哈希表等,并对查找、排序等进行了算法分析,还给出了相应的Java实现。
本书逻辑结构严谨,主次分明,可用做计算机教材或程序员参考用书。
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目录

  • Chapter 1 Introduction
    1.1.What's the Book About?
    1.2.Mathematics Review
    1.2.1.Exponents
    1.2.2.Logarithms
    1.2.3.Series
    1.2.4.Modular Arithmetic
    1.2.5.The P Word
    1.3.A Brief Introduction to Recursion
    1.4.Generic Objects in Java
    1.4.1.The IntCell Class
    1.4.2.The MemoryCell Class
    1.4.3.Implementing Generic findMax
    1.5.Exceptions
    1.6.Input and Output
    1.6.1.Basic Stream Operations
    1.6.2.The StringTokenizer Object
    1.6.3.Sequential Files
    1.7.Code Organization
    1.7.1.Packages
    1.7.2.The MyInteger Class
    1.7.3.Efficiency Considerations
    Summary
    Exercises
    References
    Chapter 2 Algorithm Analysis
    2.1.Mathematical Background
    2.2.Model
    2.3.What to Analyze
    2.4.Running Time Calculations
    2.4.1.A Simple Example
    2.4.2.General Rules
    2.4.3.Solutions for the Maximum Subsequence Sum Problem
    2.4.4.Logarithms in the Running Time
    2.4.5.Checking Your Analysis
    2.4.6.A Grain of Salt
    Summary
    Exercises
    References
    Chapter 3 Lists,Stacks,and Queues
    3.1.Abstract Data Types(ADTS)
    3.2.The List ADT
    3.2.1.Simple Array Implementation of Lists
    3.2.2.Linked Lists
    3.2.3.Programming Details
    3.2.4.Doubly Linked Lists
    3.2.5.Circular Linked Lists
    3.2.6.Examples
    3.2.7.Cursor Implementation of Linked Lists
    3.3.The Stack ADT
    3.3.1.Stack Model
    3.3.2.Implementation of Stacks
    3.3.3.Applications
    3.4.The Queue ADT
    3.4.1.Queue Model
    3.4.2.Array Implementation of Queues
    3.4.3.Applications of Queues
    Summary
    Exercises
    Chapter 4 Trees
    4.1.Preliminaries
    4.1.1.Implementation of Trees
    4.1.2.Tree Traversals with an Application
    4.2.Binary Trees
    4.2.1.Implementation
    4.2.2.An Example:Expression Trees
    4.3.The Search Tree ADT—Binary Search Trees
    4.3.1.find
    4.3.2.findMin and findMax
    4.3.3.insert
    4.3.4.remove
    4.3.5.Average-Case Analysis
    4.4.AVL Trees
    4.4.1.Single Rotation
    4.4.2.Double Rotation
    4.5.Splay Trees
    4.5.1.A Simple Idea(That Does Not Work)
    4.5.2.Splaying
    4.6.Tree Traversals(Revisited)
    4.7.B-Trees
    Summary
    Exercises
    References
    Chapter 5 Hashing
    5.1.General Idea
    5.2.Hash Function
    5.3.Separate Chaining
    5.4.Open Addressing
    5.4.1.Linear Probing
    5.4.2.Quadratic Probing
    5.4.3.Double Hashing
    5.5.Rehashing
    5.6.Extendible Hashing
    Summary
    Exercises
    References
    Chapter 6 Priority Queues(Heaps)
    6.1.Model
    6.2.Simple Implementations
    6.3.Binary Heap
    6.3.1.Structure Property
    6.3.2.Heap Order Property
    6.3.3.Basic Heap Operations
    6.3.4.Other Heap Operations
    6.4.Applications of Priority Queues
    6.4.1.The Selection Problem
    6.4.2.Event Simulation
    6.5.d-Heaps
    6.6.Leftist Heaps
    6.6.1.Leftist Heap Property
    6.6.2.Leftist Heap Operations
    6.7.Skew Heaps
    6.8.Binomial Queues
    6.8.1.Binomial Queue Structure
    6.8.2.Binomial Queue Operations
    6.8.3.Implementation of Binomial Queues
    Summary
    Exercises
    References
    Chapter 7 Sorting
    7.1.Preliminaries
    7.2.Insertion Sort
    7.2.1.The Algorithm
    7.2.2.Analysis of Insertion Sort
    7.3.A Lower Bound for Simple Sorting Algorithms
    7.4.Shellsort
    7.4.1.Worst-Case Analysis of Shellsort
    7.5.Heapsort
    7.5.1.Analysis of Heapsort
    7.6.Mergesort
    7.6.1.Analysis of Mergesort
    7.7.Quicksort
    7.7.1.Picking the Pivot
    7.7.2.Partitioning Strategy
    7.7.3.Small Arrays
    7.7.4.Actual Quicksort Routines
    7.7.5.Analysis of Quicksort
    7.7.6.A Linear-Expected-Time Algorithm for Selection
    7.8.A General Lower Bound for Sorting
    7.8.1.Decision Trees
    7.9.Bucket Sort
    7.10.External Sorting
    7.10.1.Why We Need New Algorithms
    7.10.2.Model for External Sorting
    7.10.3.The Simple Algorithm
    7.10.4.Multiway Merge
    7.10.5.Polyphase Merge
    7.10.6.Replacement Selection
    Summary
    Exercises
    References
    Chapter 8 The Disjoint Set ADT
    8.1.Equivalence Relations
    8.2.The Dynamic Equivalence Problem
    8.3.Basic Data Structure
    8.4.Smart Union Algorithms
    8.5.Path Compression
    8.6.Worst Case for Union-by-Rank and Path Compression
    8.6.1.Analysis of the Union/Find Algorithm
    8.7.An Application
    Summary
    Exercises
    References
    Chapter 9 Graph Algorithms
    9.1.Definitions
    9.1.1.Representation of Graphs
    9.2.Topological Sort
    9.3.Shortest-Path Algorithms
    9.3.1.Unweighted Shortest Paths
    9.3.2.Dijkstra's Algorithm
    9.3.3.Graphs with Negative Edge Costs
    9.3.4.Acyclic Graphs
    9.3.5.All-Pairs Shortest Path
    9.4.Network Flow Problems
    9.4.1.A Simple Maximum-Flow Algorithm
    9.5.Minimum Spanning Tree
    9.5.1.Prim's Algorithm
    9.5.2.Kruskal's Algorithm
    9.6.Applications of Depth-First Search
    9.6.1.Undirected Graphs
    9.6.2.Biconnectivity
    9.6.3.Euler Circuits
    9.6.4.Directed Graphs
    9.6.5.Finding Strong Components
    9.7.Introduction to NP-Completeness
    9.7.1.Easy Vs.Hard
    9.7.2.The Class NP
    9.7.3.NP-Complete Problems
    Summary
    Exercises
    References
    Chapter 10 Algorithm Design Techniques
    10.1.Greedy Algorithms
    10.1.1.A Simple Scheduling Problem
    10.1.2.Huffman Codes
    10.1.3.Approximate Bin Packing
    10.2.Divide and Conquer
    10.2.1.Running Time of Divide and Conquer Algorithms
    10.2.2.Closest-Points Problem
    10.2.3.The Selection Problem
    10.2.4.Theoretical Improvements for Arithmetic Problems
    10.3.Dynamic Programming
    10.3.1.Using a Table Instead of Recursion
    10.3.2.Ordering Matrix Multiplications
    10.3.3.Optimal Binary Search Tree
    10.3.4.All-Pairs Shortest Path
    10.4.Randomized Algorithms
    10.4.1.Random Number Generators
    10.4.2.Skip Lists
    10.4.3.Primality Testing
    10.5.Backtracking Algorithms
    10.5.1.The Turnpike Reconstruction Problem
    10.5.2.Games
    Summary
    Exercises
    References
    Chapter 11 Amortized Analysis
    11.1.An Unrelated Puzzle
    11.2.Binomial Queues
    11.3.Skew Heaps
    11.4.Fibonacci Heaps
    11.4.1.Cutting Nodes in Leftist Heaps
    11.4.2.Lazy Merging for Binomial Queues
    11.4.3.The Fibonacci Heap Operations
    11.4.4.Proof of the Time Bound
    11.5.Splay Trees
    Summary
    Exercises
    References
    Chapter 12 Advanced Data Structures and Implementation
    12.1.Top-Down Splay Trees
    12.2.Red-Black Trees
    12.2.1.Bottom-Up Insertion
    12.2.2.Top-Down Red-Black Trees
    12.2.3.Top-Down Deletion
    12.3.Deterministic Skip Lists
    12.4.AA-Trees
    12.5.Treaps
    12.6.k-d Trees
    12.7.Pairing Heaps
    Summary
    Exercises
    References
    Appendix A Some Library Routines
    A.1.Classes in Package java.lang
    A.1.1.Character
    A.1.2.Integer
    A.1.3.Object
    A.1.4.String
    A.1.5.StringBuffer
    A.1.6.System
    A.1.7.Throwable
    A.2.Classes in Package java.io
    A.2.1.BufferedReader
    A.2.2.BufferedWriter
    A.2.3.File
    A.2.4.FileReader
    A.2.5.FileWriter
    A.2.6.InputStreamReader
    A.2.7.PrintWriter
    A.2.8.PushbackReader
    A.3.Classes in Package java.util
    A.3.1.Random
    A.3.2.StringTokenizer
    Appendix B The Collections Library
    B.1.Introduction
    B.2.Basic Classes
    B.2.1.Collection
    B.2.2.Iterator
    B.2.3.Comparable
    B.2.4.Comparator
    B.3.Lists
    B.3.1.ArrayList Vs.LinkedList
    B.3.2.Stacks and Queues
    B.3.3.ListIterator
    B.4.Sets
    B.5.Maps
    B.5.1.put,get,remove,and contains
    B.5.2.Getting a Collection from the Map
    B.5.3.Map.Entry Pairs
    B.6.Example:Generating a Concordance
    B.6.1.Collections API Version
    B.6.2.Version Using Package DataStructures
    B.7.Example:Shortest-Path Calculation
    B.7.1.Collections API Implementation
    B.7.2.Version Using Package DataStructures
    B.8.Priority Queues
    Summary
    Index
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