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ALGORITHM DESIGN: FOUNDATIONS, ANALYSIS, AND INTERNET By Michael T. VG
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eBay item number:335373571629
Item specifics
- Condition
- Very Good
- Seller Notes
- ISBN-10
- 0471383651
- Book Title
- Algorithm Design: Foundations, Analysis, and Internet Examples
- ISBN
- 9780471383659
- Subject Area
- Computers, Mathematics
- Publication Name
- Algorithm Design : Foundations, Analysis, and Internet Examples
- Item Length
- 9.2 in
- Publisher
- Wiley & Sons, Incorporated, John
- Subject
- Algebra / General, Programming Languages / C
- Publication Year
- 2001
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 1 in
- Item Width
- 7.5 in
- Item Weight
- 38.2 Oz
- Number of Pages
- 720 Pages
About this product
Product Information
Are you looking for something different in your Algorithms text? Are you looking for an Algorithms text that offers theoretical analysis techniques as well as design patterns and experimental methods for the engineering of algorithms? Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Design, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. Written for an undergraduate, junior-senior algorithms course this text offers several implementation case studies and uses Internet applications to motivate many topics such as hashing, sorting and searching.
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471383651
ISBN-13
9780471383659
eBay Product ID (ePID)
1745503
Product Key Features
Publication Name
Algorithm Design : Foundations, Analysis, and Internet Examples
Format
Trade Paperback
Language
English
Subject
Algebra / General, Programming Languages / C
Publication Year
2001
Type
Textbook
Subject Area
Computers, Mathematics
Number of Pages
720 Pages
Dimensions
Item Length
9.2 in
Item Height
1 in
Item Width
7.5 in
Item Weight
38.2 Oz
Additional Product Features
LCCN
2002-265982
Intended Audience
College Audience
Lc Classification Number
Qa76.9.A43g67 2002
Table of Content
I Fundamental Tools 1 1 Algorithm Analysis 3 1.1 Methodologies for Analyzing Algorithms 5 1.2 Asymptotic Notation 13 1.3 A Quick Mathematical Review 21 1.4 Case Studies in Algorithm Analysis 31 1.5 Amortization 34 1.6 Experimentation 42 1.7 Exercises 47 2 Basic Data Structures 55 2.1 Stack sand Queues 57 2.2 Vectors, Lists, and Sequences 65 2.3 Trees 75 2.4 Priority Queues and Heaps 94 2.5 Dictionaries and Hash Tables 114 2.6 Java Example: Heap 128 2.7 Exercises 131 3 Search Trees and Skip Lists 139 3.1 Ordered Dictionaries and Binary Search Trees 141 3.2 AVL Trees 152 3.3 Bounded-Depth Search Trees 159 3.4 Splay Trees 185 3.5 Sk i p Lists 195 3.6 Java Example: AVL and Red-Black Trees 202 3.7 Exercises 212 4 Sorting, Sets, and Selection 217 4.1 Merge-Sort 219 4.2 The Set Abstract Data Type 225 4.3 Quick -Sort 235 4.4 A Lower Bound on Comparison-Based Sorting 239 4.5 Buck et-Sort and Radix-Sort 241 4.6 Comparison of Sorting Algorithms 244 4.7 Selection 245 4.8 Java Example: In-Place Quick -Sort 248 4.9 Exercises 251 5 Fundamental Techniques 257 5.1 The GreedyMethod 259 5.2 Divide-and-Conquer 263 5.3 Dynamic Programming 274 5.4 Exercises 282 II Graph Algorithms 285 6 Graphs 287 6.1 The Graph Abstract Data Type 289 6.2 Data Structures for Graphs 296 6.3 Graph Traversal 303 6.4 Directed Graphs 316 6.5 Java Example: Depth-First Search 329 6.6 Exercises 335 7 Weighted Graphs 339 7.1 Single-Source Shortest Paths 341 7.2 All-Pairs Shortest Paths 354 7.3 Minimum Spanning Trees 360 7.4 Java Example: Dijk stra''s Algorithm 373 7.5 Exercises 376 8 Network Flow and Matching 381 8.1 Flows and Cuts 383 8.2 Maximum Flow 387 8.3 Maximum BipartiteMatching 396 8.4 Minimum-Cost Flow 398 8.5 Java Example: Minimum-Cost Flow 405 8.6 Exercises 412 III Internet Algorithmics 415 9 Text Processing 417 9.1 Strings and PatternMatching Algorithms 419 9.2 Tries 429 9.3 Text Compression 440 9.4 Text Similarity Testing 443 9.5 Exercises 447 10 Number Theory and Cryptography 451 10.1 Fundamental Algorithms Involving Numbers 453 10.2 Cryptographic Computations 471 10.3 Information Security Algorithms and Protocols 481 10.4 The Fast Fourier Transform 488 10.5 Java Example: FFT 500 10.6 Exercises 508 11 Network Algorithms 511 11.1 ComplexityMeasures and Models 513 11.2 Fundamental Distributed Algorithms 517 11.3 Broadcast and Unicast Routing 530 11.4 Multicast Routing 535 11.5 Exercises 541 IV Additional Topics 545 12 Computational Geometry 547 12.1 Range Trees 549 12.2 Priority Search Trees 556 12.3 Quadtrees and k-D Trees 561 12.4 The Plane Sweep Technique 565 12.5 Convex Hulls 572 12.6 Java Example: Convex Hull 583 12.7 Exercises 587 13 NP-Completeness 591 13.1 P and NP 593 13.2 NP-Completeness 599 13.3 Important NP-Complete Problems 603 13.4 Approximation Algorithms 618 13.5 Back track i ng and Branch-and-Bound 627 13.6 Exercises 638 14 Algorithmic Frameworks 643 14.1 External-Memory Algorithms 645 14.2 Parallel Algorithms 657 14.3 Online Algorithms 667 14.4 Exercises 680 A Useful Mathematical Facts 685 Bibliography 689 Index 698
Copyright Date
2002
Dewey Decimal
005.1
Dewey Edition
21
Illustrated
Yes
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- Nov 01, 2006
It is a good reference book for my university education
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I worth to buy
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