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The Algorithm Design Manual

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Steve S. Skiena 作者
Springer
译者
1998-8-1 出版日期
486 页数
GBP 53.91 价格
Hardcover
丛书系列
9780387948607 图书编码

The Algorithm Design Manual 在线电子书 图书标签: 算法  Algorithm  计算机  Programming  算法设计  编程  算法与数据结构  数学   


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The Algorithm Design Manual 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The Algorithm Design Manual 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The Algorithm Design Manual 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



The Algorithm Design Manual 在线电子书 用户评价

评分

IT懒汉的救星

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IT懒汉的救星

评分

随非理论经典,但是相当实用

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IT懒汉的救星

评分

很好的算法书,理论介绍全面,而且有大量的具体问题以及解决思路。可以作为进阶参考书,或者可以作为手册。

The Algorithm Design Manual 在线电子书 著者简介

Steven Skiena (1961-, http://www.cs.sunysb.edu/~skiena/) is a Professor of Computer Science in State University of New York at Stony Brook


The Algorithm Design Manual 在线电子书 图书目录


The Algorithm Design Manual 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

The Algorithm Design Manual 在线电子书 图书描述

Contents

u Techniques

u Introduction to Algorithms

u Correctness and Efficiency

u Correctness

u Efficiency

u Expressing Algorithms

u Keeping Score

u The RAM Model of Computation

u Best, Worst, and Average-Case Complexity

u The Big Oh Notation

u Growth Rates

u Logarithms

u Modeling the Problem

u About the War Stories

u War Story: Psychic Modeling

u Exercises

u Data Structures and Sorting

u Fundamental Data Types

u Containers

u Dictionaries

u Binary Search Trees

u Priority Queues

u Specialized Data Structures

u Sorting

u Applications of Sorting

u Approaches to Sorting

u Data Structures

u Incremental Insertion

u Divide and Conquer

u Randomization

u Bucketing Techniques

u War Story: Stripping Triangulations

u War Story: Mystery of the Pyramids

u War Story: String 'em Up

u Exercises

u Breaking Problems Down

u Dynamic Programming

u Fibonacci numbers

u The Partition Problem

u Approximate String Matching

u Longest Increasing Sequence

u Minimum Weight Triangulation

u Limitations of Dynamic Programming

u War Story: Evolution of the Lobster

u War Story: What's Past is Prolog

u War Story: Text Compression for Bar Codes

u Divide and Conquer

u Fast Exponentiation

u Binary Search

u Square and Other Roots

u Exercises

u Graph Algorithms

u The Friendship Graph

u Data Structures for Graphs

u War Story: Getting the Graph

u Traversing a Graph

u Breadth-First Search

u Depth-First Search

u Applications of Graph Traversal

u Connected Components

u Tree and Cycle Detection

u Two-Coloring Graphs

u Topological Sorting

u Articulation Vertices

u Modeling Graph Problems

u Minimum Spanning Trees

u Prim's Algorithm

u Kruskal's Algorithm

u Shortest Paths

u Dijkstra's Algorithm

u All-Pairs Shortest Path

u War Story: Nothing but Nets

u War Story: Dialing for Documents

u Exercises

u Combinatorial Search and Heuristic Methods

u Backtracking

u Constructing All Subsets

u Constructing All Permutations

u Constructing All Paths in a Graph

u Search Pruning

u Bandwidth Minimization

u War Story: Covering Chessboards

u Heuristic Methods

u Simulated Annealing

u Traveling Salesman Problem

u Maximum Cut

u Independent Set

u Circuit Board Placement

u Neural Networks

u Genetic Algorithms

u War Story: Annealing Arrays

u Parallel Algorithms

u War Story: Going Nowhere Fast

u Exercises

u Intractable Problems and Approximations

u Problems and Reductions

u Simple Reductions

u Hamiltonian Cycles

u Independent Set and Vertex Cover

u Clique and Independent Set

u Satisfiability

u The Theory of NP-Completeness

u 3-Satisfiability

u Difficult Reductions

u Integer Programming

u Vertex Cover

u Other NP-Complete Problems

u The Art of Proving Hardness

u War Story: Hard Against the Clock

u Approximation Algorithms

u Approximating Vertex Cover

u The Euclidean Traveling Salesman

u Exercises

u How to Design Algorithms

u Resources

u A Catalog of Algorithmic Problems

u Data Structures

u Dictionaries

u Priority Queues

u Suffix Trees and Arrays

u Graph Data Structures

u Set Data Structures

u Kd-Trees

u Numerical Problems

u Solving Linear Equations

u Bandwidth Reduction

u Matrix Multiplication

u Determinants and Permanents

u Constrained and Unconstrained Optimization

u Linear Programming

u Random Number Generation

u Factoring and Primality Testing

u Arbitrary-Precision Arithmetic

u Knapsack Problem

u Discrete Fourier Transform

u Combinatorial Problems

u Sorting

u Searching

u Median and Selection

u Generating Permutations

u Generating Subsets

u Generating Partitions

u Generating Graphs

u Calendrical Calculations

u Job Scheduling

u Satisfiability

u Graph Problems: Polynomial-Time

u Connected Components

u Topological Sorting

u Minimum Spanning Tree

u Shortest Path

u Transitive Closure and Reduction

u Matching

u Eulerian Cycle / Chinese Postman

u Edge and Vertex Connectivity

u Network Flow

u Drawing Graphs Nicely

u Drawing Trees

u Planarity Detection and Embedding

u Graph Problems: Hard Problems

u Clique

u Independent Set

u Vertex Cover

u Traveling Salesman Problem

u Hamiltonian Cycle

u Graph Partition

u Vertex Coloring

u Edge Coloring

u Graph Isomorphism

u Steiner Tree

u Feedback Edge/Vertex Set

u Computational Geometry

u Robust Geometric Primitives

u Convex Hull

u Triangulation

u Voronoi Diagrams

u Nearest Neighbor Search

u Range Search

u Point Location

u Intersection Detection

u Bin Packing

u Medial-Axis Transformation

u Polygon Partitioning

u Simplifying Polygons

u Shape Similarity

u Motion Planning

u Maintaining Line Arrangements

u Minkowski Sum

u Set and String Problems

u Set Cover

u Set Packing

u String Matching

u Approximate String Matching

u Text Compression

u Cryptography

u Finite State Machine Minimization

u Longest Common Substring

u Shortest Common Superstring

u Algorithmic Resources

u Software systems

u LEDA

u Netlib

u Collected Algorithms of the ACM

u The Stanford GraphBase

u Combinatorica

u Algorithm Animations with XTango

u Programs from Books

u Discrete Optimization Algorithms in Pascal

u Handbook of Data Structures and Algorithms

u Combinatorial Algorithms for Computers and Calculators

u Algorithms from P to NP

u Computational Geometry in C

u Algorithms in C++

u Data Sources

u Textbooks

u On-Line Resources

u Literature

u People

u Software

u Professional Consulting Services

u References

u Index

u About this document ...

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The Algorithm Design Manual 在线电子书 下载 mobi epub pdf txt 在线电子书下载

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The Algorithm Design Manual 在线电子书 读后感

评分

Stony Brook大学的CSE 373, analysis of algorithm, 所有的教授都用CLRS, 除了一个教授. 这个教授只用这本ADM. 这个教授就是Skiena...(对...就是这本书的作者...) 想要读这本书的人估计就是在ADM和CLRS之间做取舍.(或者其他书籍. 不过就不怎么知名了...) CLRS有点像数学系读...  

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第一部分讨论实用算法思路;第二部分实例分析极其讨喜。 解释直观易懂,并提供了大量的参考信息,相当适合自己学习和额外研究用。 每晚看一两个章节或例子相当愉快。 不过印刷纸质颇为低劣……=_= 居家旅行,闲时翻阅,面试备战的最佳选择…… http://www.cs.sunysb.edu/~alg...  

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之前读过《算法导论》(常被简称为CLRS,下同),读这本是想换个角度来研究下算法。虽然很多东西已经通过前者有所了解,这里就谈谈二者的不同之处。 一方面,数学性的推导和证明还是CLRS比较擅长,后者大多数情况只是尽量做到让读者能够理解而已,这一点在上...  

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看着看着时而就觉得不明白了 看到amazon上有人说 This book isn't always the easiest to understand.. . Consider the explanation of Djikstra's Algorithm on p. 206 of the 2nd ed: ... 我才放下心来. 他就是没讲明白么,真是的!

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我个人认为这本书很不适合初学者,尤其是和DPV(http://book.douban.com/subject/1996256/)相比。 如果你和我一样在找一本比较好的算法入门书,强烈推荐DPV而不是这本。DPV对算法的讲解简单而明了,如果我只能推荐一本算法书的话,毫无疑问我会推荐DPV。 当然,这本书或许对...  

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