圖書標籤: 算法 Algorithm 計算機 Programming 算法設計 編程 算法與數據結構 數學
发表于2024-11-22
The Algorithm Design Manual pdf epub mobi txt 電子書 下載 2024
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 ...
Help file produced by WebTwin (www.webtwin.com) HTML->WinHelp converter. This text does not appear in the registered version.
Steven Skiena (1961-, http://www.cs.sunysb.edu/~skiena/) is a Professor of Computer Science in State University of New York at Stony Brook
很好的算法書,理論介紹全麵,而且有大量的具體問題以及解決思路。可以作為進階參考書,或者可以作為手冊。
評分隨非理論經典,但是相當實用
評分IT懶漢的救星
評分IT懶漢的救星
評分隨非理論經典,但是相當實用
Compared with CLRS: - Both books are well written and way above the average. - "Almost" as great as the classic CLRS. - Not so textbook like which is both good and bad: - Has clearer statements about goals and abstractions of algorithms and data struct...
評分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!
評分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!
評分Compared with CLRS: - Both books are well written and way above the average. - "Almost" as great as the classic CLRS. - Not so textbook like which is both good and bad: - Has clearer statements about goals and abstractions of algorithms and data struct...
評分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...
The Algorithm Design Manual pdf epub mobi txt 電子書 下載 2024