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Author : Robert Sedgewick,Robert Sedgewick - Princeton University
Publisher : Unknown
Page : 482 pages
File Size : 55,6 Mb
Release : 2001
Category : C# (Computer program language)
ISBN : 076868532X
Author : Robert Sedgewick
Publisher : Addison-Wesley Professional
Page : 530 pages
File Size : 50,8 Mb
Release : 2001-12
Category : Algorithms
ISBN : UOM:39076002299746
Describes the most important known methods for solving the graph processing problems that arise in computing applications. The algorithms address diagraphs, minimum spanning trees, shortest paths, and network flow. A new emphasis on abstract data types makes the third edition more relevant to object-oriented programming. c. Book News Inc.
Author : R.·塞奇威克 (美),Robert Sedgewick
Publisher : Unknown
Page : 482 pages
File Size : 55,8 Mb
Release : 2003
Category : C (Computer program language)
ISBN : 7508318110
责任者译名:塞奇威克。
Author : Anonim
Publisher : Unknown
Page : 496 pages
File Size : 55,5 Mb
Release : 2002
Category : C++ (Computer program language)
ISBN : OCLC:667061569
Author : Kyle Loudon
Publisher : "O'Reilly Media, Inc."
Page : 560 pages
File Size : 42,8 Mb
Release : 1999
Category : Computers
ISBN : 9781565924536
Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.
Author : Robert Sedgewick
Publisher : Unknown
Page : 128 pages
File Size : 50,9 Mb
Release : 1998
Category : C++ (Computer program language)
ISBN : LCCN:98071799
Author : Thomas H Cormen,Charles E Leiserson,Ronald L Rivest,Clifford Stein
Publisher : MIT Press
Page : 1216 pages
File Size : 55,6 Mb
Release : 2001
Category : Computers
ISBN : 0262032937
An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.
Author : Robert Sedgewick
Publisher : Unknown
Page : 128 pages
File Size : 50,5 Mb
Release : 1998
Category : C (Computer program language)
ISBN : LCCN:97023418
Author : Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein
Publisher : MIT Press
Page : 1313 pages
File Size : 40,8 Mb
Release : 2009-07-31
Category : Computers
ISBN : 9780262258104
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.
Author : Robert Sedgewick
Publisher : Addison-Wesley Professional
Page : 1002 pages
File Size : 50,5 Mb
Release : 2003-07-16
Category : Computers
ISBN : 9780134190075
Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice that has made his work popular with programmers for many years. Michael Schidlowsky and Sedgewick have developed concise new Java implementations that both express the methods in a natural and direct manner and also can be used in real applications. Algorithms in Java, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. The natural match between Java classes and abstract data type (ADT) implementations makes the code more broadly useful and relevant for the modern object-oriented programming environment. The Web site for this book (www.cs.princeton.edu/~rs/) provides additional source code for programmers along with a variety of academic support materials for educators. Coverage includes: A complete overview of graph properties and types Diagraphs and DAGs Minimum spanning trees Shortest paths Network flows Diagrams, sample Java code, and detailed algorithm descriptions A landmark revision, Algorithms in Java, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
Author : Dieter Jungnickel
Publisher : Springer Science & Business Media
Page : 597 pages
File Size : 49,8 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9783662038222
Revised throughout Includes new chapters on the network simplex algorithm and a section on the five color theorem Recent developments are discussed
Author : Mark Needham,Amy E. Hodler
Publisher : "O'Reilly Media, Inc."
Page : 297 pages
File Size : 42,8 Mb
Release : 2019-05-16
Category : Computers
ISBN : 9781492047636
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark
Author : Robert Sedgewick
Publisher : Pearson Education
Page : 592 pages
File Size : 54,9 Mb
Release : 2001-08-16
Category : Computers
ISBN : 9780768685022
Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice with concise implementations that can be tested on real applications, which has made his work popular with programmers for many years. Algorithms in C, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. A focus on abstract data types makes the programs more broadly useful and relevant for the modern object-oriented programming environment. Coverage includes: A complete overview of graph properties and types Diagraphs and DAGs Minimum spanning trees Shortest paths Network flows Diagrams, sample C code, and detailed algorithm descriptions The Web site for this book (http://www.cs.princeton.edu/~rs/) provides additional source code for programmers along with numerous support materials for educators. A landmark revision, Algorithms in C, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
Author : R.M.R. Lewis
Publisher : Springer
Page : 253 pages
File Size : 42,6 Mb
Release : 2015-10-26
Category : Computers
ISBN : 9783319257303
This book treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring arbitrary graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform on graphs where the chromatic number is unknown; and whether they can produce better solutions than other algorithms for certain types of graphs, and why. The introductory chapters explain graph colouring, and bounds and constructive algorithms. The author then shows how advanced, modern techniques can be applied to classic real-world operational research problems such as seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by a website with an online suite of downloadable code. The book will be of value to researchers, graduate students, and practitioners in the areas of operations research, theoretical computer science, optimization, and computational intelligence. The reader should have elementary knowledge of sets, matrices, and enumerative combinatorics.
Author : Robert Sedgewick
Publisher : Unknown
Page : 0 pages
File Size : 40,5 Mb
Release : 2003
Category : Electronic
ISBN : OCLC:1153052486
