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         Computer Algorithms:     more books (100)
  1. Algorithms for Clustering Data (Prentice Hall Advanced Reference Series : Computer Science) by Anil K. Jain, Richard C. Dubes, 1988-03
  2. Computer Algorithms / C++ by Ellis Horowitz, Sartaj Sahni, et all 2007-11
  3. Algorithms and Networking for Computer Games by Jouni Smed, Harri Hakonen, 2006-07-11
  4. The Art of Computer Programming, Volume 1, Fascicle 1: MMIX -- A RISC Computer for the New Millennium (Art of Computer Programming) by Donald E. Knuth, 2005-02-24
  5. Flexible Pattern Matching in Strings: Practical On-Line Search Algorithms for Texts and Biological Sequences by Gonzalo Navarro, Mathieu Raffinot, 2007-07-30
  6. Combinatorial Algorithms for Integrated Circuit Layout (Applicable Theory in Computer Science) by Thomas Lengauer, 1990-09
  7. Graph Algorithms (Computer Software Engineering Series) by Shimon Even, 1979-06
  8. Non-Standard Inferences in Description Logics: From Foundations and Definitions to Algorithms and Analysis (Lecture Notes in Computer Science) by Ralf Küsters, 2001-09-06
  9. Algorithms by Sanjoy Dasgupta, Christos H. Papadimitriou, et all 2006-09-13
  10. Handbook of Theoretical Computer Science, Vol. A: Algorithms and Complexity
  11. Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science) by Behrooz Parhami, 1999-01-31
  12. Algorithms + Data Structures = Programs (Prentice-Hall Series in Automatic Computation) by Niklaus Wirth, 1976-02
  13. Data Structures, Algorithms, And Applications In Java by Sartaj Sahni, 2004-08-01
  14. User Interface Management Systems: Models and Algorithms (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling) by Dan R., Jr. Olsen, 1991-11

41. Fire Publications - Compatibility
Fire Publications computer algorithms. computer algorithms. Calculating Flame Spread on Horizontal and Vertical Surfaces. NISTIR 5392; 56 p. April 1994.
http://fire.nist.gov/bfrlpubs/fireall/key/key275.html
Fire Publications - compatibility
compatibility
  • Compatibility of Halon Alternatives During Storage.
    American Chemical Society. Halon Replacements: Technology and Science. National Meeting, 208th. Proceedings. ACS Symposium Series 611. Chapter 12. August 21-25, 1994, Washington, DC, American Chemical Society, Washington, DC, Miziolek, A. W.; Tsang, W., Editors, 122-138 pp, 1995.
    Gann, R. G.; Beauchamp, C. R.; Cleary, T. G.; Fink, J. L.; Harris, R. H., Jr.; Horkay, F.; McKenna, G. B.; Moffat, T. P.; Nyden, M. R.; Peacock, R. D.; Ricker, R. E.; Stoudt, M. R.; Waldron, W. K., Jr.
  • Compatibility With Metals.
    NIST SP 890; Volume 1; Section 5; November 1995.Fire Suppression System Performance of Alternative Agents in Aircraft Engine and Dry Bay Laboratory Simulations. Volume 1. Section 5, Gann, R. G., Editor, 121-200 pp, 1995.
    Stoudt, M. R.; Fink, J. L.; Dante, J. F.; Ricker, R. E.
  • Elastomer Seal Compatibility.
    NIST SP 861; April 1994.Evaluation of Alternative In-Flight Fire Suppressants for Full-Scale Testing in Simulated Aircraft Engine Nacelles and Dry Bays. Section 8, Grosshandler, W. L.; Gann, R. G.; Pitts, W. M., Editors, 729-763 pp, 1994.
    McKenna, G. B.; Waldron, W. K., Jr.; Horkay, F.

42. Computer Algorithms
CS 227. computer algorithms. Instructor Richard Nau Winter 1996, 1A computer algorithms is a study of effectiveness, efficiency and
http://www.mathcs.carleton.edu/courses/course_resources/cs227_w96/algorithms.htm
CS 227
Computer Algorithms
Instructor: Richard Nau
Winter 1996, 1A
Computer Algorithms is a study of effectiveness, efficiency and clarity considerations; divide and conquer, greedy methods, dynamic programming, backtrack, basic search and traversal techniques. We'll conclude with computational complexity, which is the classification of the difficulties inherent in problems no matter how powerful computers will ever be. Items of note: Page maintained by:
Michael N. Tie mtie@carleton.edu
Last Modified:

43. Wiley Canada::Computer Algorithms: String Pattern Matching Strategies
Wiley Canada Mathematics Statistics Discrete Mathematics computer algorithms String Pattern Matching Strategies.
http://www.wiley.ca/WileyCDA/WileyTitle/productCd-0818654627,subjectCd-MA45.html
Shopping Cart My Account Help Contact Us
By Keyword By Title By Author By ISBN By ISSN Wiley Canada Discrete Mathematics Computer Algorithms: String Pattern Matching Strategies Related Subjects General Interest Computer Science
General Computer Engineering

Finite Mathematics

General Statistics
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Special Topics in Mathematics

Related Titles Discrete Mathematics
Mathematical Methods in Artificial Intelligence (Hardcover)

by Edward A. Bender
Foundations of Discrete Mathematics (Hardcover)

by K. D. Joshi Introduction to Logistics Systems Planning and Control (Hardcover) by Gianpaolo Ghiani, Gilbert Laporte, Roberto Musmanno Introduction to Logistics Systems Planning and Control (Paperback) by Gianpaolo Ghiani, Gilbert Laporte, Roberto Musmanno Network and Discrete Location: Models, Algorithms, and Applications (Hardcover) by Mark S. Daskin Graph Coloring Problems (Hardcover) by Tommy R. Jensen, Bjarne Toft Building and Solving Mathematical Programming Models in Engineering and Science (Hardcover) by Enrique Castillo, Antonio J. Conejo, Pablo Pedregal, Ricardo Garcia, Natalia Alguacil Discrete Mathematics Computer Algorithms: String Pattern Matching Strategies Jun-ichi Aoe ISBN: 0-8186-5462-7 Paperback 296 pages May 1994, Wiley-IEEE Computer Society Press

44. Citations Computer Algorithms For Plagiarism Detection - Parker
A. Parker and JO Hamblen. computer algorithms for plagiarism detection. A. Parker and JO Hamblen, computer algorithms for plagiarism detection, IEEE Trans.
http://citeseer.ist.psu.edu/context/260302/0

45. Evaluating Animations As Student Aids In Learning Computer
Evaluating Animations as Student Aids in Learning computer algorithms (1999) (Make Corrections) (7 citations) Michael D. Byrne, Richard Catrambone, John T
http://citeseer.ist.psu.edu/byrne99evaluating.html

46. I Experimental Research In Computer Algorithms BR /i NSF CER DCR
Experimental Research in computer algorithms NSF CER DCR8420935, $2,600,000, 1985-1990, co-PI s OH Ibarra, JB Rosen, S. Sahni.
http://alexandria.sdc.ucsb.edu/public-documents/proposal/node60.html
NSF CER DCR-8420935, $2,600,000, 1985-1990, co-PI's: O.H. Ibarra, J.B. Rosen, S. Sahni
Next: Summary of Results Up: RESULTS FROM PRIOR Previous: An Infrastructure Facility
Experimental Research in Computer Algorithms
NSF CER DCR-8420935, $2,600,000, 1985-1990, co-PI's: O.H. Ibarra, J.B. Rosen, S. Sahni
Ron Dolin
Wed Dec 7 23:25:02 PST 1994

47. CS Department - CS 363: Computer Algorithms
You are here Home » Academics » Courses » CS 363 computer algorithms. Print. CS 363 computer algorithms. Credit Hours 3 Prerequisites
http://www.cs.luc.edu/academics/courses/cs363
@import url(http://www.cs.luc.edu/plone.css?skin=); Loyola Home Loyola Search You are here: Home Academics Courses CS 363: Computer Algorithms
CS Department About CS Academics B.S. in C.S. B.S. in C.S./Math B.S. in C.S./Physi B.S./M.S. in C.S. C.S. Certificate C.S. Minor Courses M.S. in C.S. Admission News and Events People Research Student Activities
CS 363: Computer Algorithms
Credit Hours Prerequisites
CS 211 and CS 271
Description
Techniques for the description and analysis of computer algorithms. Correctness, average and worst case analysis, space complexity, and asymptotic growth analysis of functions. Algorithms for searching, selection and sorting. Graph algorithms. Divide and conquer, greedy, and dynamic programming paradigms. Models of
GKT: This description needs work!
Welcome to the Department of Computer Science at Loyola University Chicago If you can read this text, it means you are not experiencing the Plone design at its best. Plone makes heavy use of CSS, which means it is accessible to any internet browser, but the design needs a standards-compliant browser to look like we intended it . Just so you know ;)

48. Design And Analysis Of Computer Algorithms -
Syllabus. Overview. Design and Analysis of computer algorithms is an undergraduate level course on the design and analysis of algorithms.
http://www.cs.luc.edu/~mhg/courses/loyola/comp363/2003_Spring/
Announements
April 23: Assignment 6 solutions are available online.
  • Overview
  • The Instructor
  • The Lectures
  • Textbooks
  • Prerequisites Graded Work
  • Course Grades
  • Collaboration Policy
  • Academic Honesty
  • Late Policy ...
  • Recommended Readings If you wish, you may download a printable version of the Syllabus
    Overview
  • The Instructor
    Michael Goldwasser
    Email: mhg@cs.luc.edu
    Office: DH 319 Lake Shore Campus
    Phone: (773) 508-2883
    Hours:
  • Tuesdays, 5:00-5:45pm
  • Thursdays, 12:00-1:00pm (Note the change from original syllabus)
  • or by appointment
  • The lectures
    The material will be presented in one weekly lecture, meeting Tuesdays, from 6:00pm-8:40pm, in room 608 of Mundelein Skyscraper (SKY) on the Lake Shore Campus . Class participation is most welcome. The schedule of lectures and readings can be found here
  • Textbooks
    The required textbook for this course is:
    Introduction to Algorithms, Second Edition
    Thomas H.Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein
    ISBN:
    0-07-013151-1, McGraw-Hill
    Text's Websites:
    Online Learning Center
    McGraw Hill's
    MIT Press's
    Known bugs ...
    Professor Jokes in the text
    The text should be available both at the Barnes and Noble campus bookstore, as well as Beck's Bookstore, or various online book vendors. A list of other useful reference books is included below.
  • 49. Untitled Document
    310244 computer algorithms in Signal Processing. Introduction Basic elements of digital signal processing (DSP) system, advantages
    http://www.pictsctr.edu/syllabus/casp.htm
    310244 Computer Algorithms in Signal Processing
    • Introduction:
      Basic elements of digital signal processing (DSP) system, advantages of digital over analog signal processing, summary of DSP applications and introduction to DSP through these applications.
      Signals and Systems :
      Basic concepts of signals as array of values, standard signals, linearity, shift invariance, stability and causality, Linear Shift Invariant (LSI) systems, I/O mapping and difference equations, Linear convolution, properties of linear convolution, computation of linear convolution, A/D conversion process as sampling quantisation, encoding, sampling theorem and anti aliasing filter.
      Analysis of Signals :
      Fourier tranform, Fourier transform of standard signals, properties of Fourier transform, inverse Fourier transform, computation of Fourier transform, Discrete Fourier Transform (DST), DFT of standard signals, properties of DFT, computation of DFT, Fast Fourier Transform (FFT) using Goertzel, Decimation In Time (DIT) and decimation In Frequency (DIF) computation of Goertzel, DIT/DIF FFTs, Inverse DFT and computation of IDFT using the FFT algorithms.
      Analysis of LSI systems :
      Magnitude/phase transfer functions using Fourier transform, computation for transfer function, Z transform, Z transforms of standard signals, properties of Z transform, inverse Z transform, computations of Z transform, System function from Z transform and pole-zero plots, computation of poles and zeros, Geometric constructs for transfer function Viz Region Of Convergence (ROC) using pole-zero plot and stability analysis.

    50. The Design And Analysis Of Computer Algorithms - Book.nu
    The Design and Analysis of computer algorithms. Alfred V. Aho John E. Hopcroft Jeffrey D. Ullman Customer Reviews The Design and Analysis of computer algorithms
    http://www.book.nu/0201000296
    BOOK.NU Search Title Author Top Selling
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    Alfred V. Aho John E. Hopcroft Jeffrey D. Ullman List Price: Amazon.com Price: Publisher: Addison-Wesley Pub Co Availability: Usually ships within 24 hours Amazon.com sales rank: Average customer rating: Buy from Amazon.co.uk
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    Customer Reviews The Design and Analysis of Computer Algorithms The very classic
    Excluding Knuth's opera (another dimension), this (AHU) is about the other and only renowned classic algorithms book, deseverdly I'd say, together with Cormen-Leiserson-Rivest's (CLR) "Introduction to Algorithms". With the difference that the first and only edition of AHU has been written 16 years before the first (of the two) editions of CLR. The two books are quite different in the language and formalism used: more formal and mathematical inclined AHU with respect to CLR. I'd say, the very classic style of his authors who have made history in the CS literature with their books (particularly 2 on algorithms and data structures, 2 on Computer Theory, 2 on Compilers, 1 on CS foundations): as these books have been used in most universities around the world for decades, they've proved to be real milestones in the education of thousands of students. The books differ also in scope, since AHU is certainly not an encyclopedic collection as CLR does, with his roughly 500 pages against 1000. In spite of this, I'd point out the following: my textbook on Algorithms was CLR, but when we got to Complexity Classes (P-NP and theory behind) we "had" to switch to AHU for the simple reason that CLR did not almost mention at all Turing Machines nor Space Complexity, without which is certainly possible to learn e.g. about NP-TIME completeness, but without which, such a path would equally certainly miss some foundamental topics of Complexity Theory.

    51. MCS 401: Computer Algorithms I.
    MCS 401 computer algorithms I. Mathematics, Statistics and Computer Science at the University of Illinois at Chicago. MCS 401 computer algorithms I.
    http://www.math.uic.edu/courses/MCS401.html
    MCS 401 - Computer Algorithms I.
    Course Description:
    Same as Electrical Engineering and Computer Science 460. Design and analysis of computer algorithms. Divide-and-conquer, dynamic programming, greedy method, backtracking. Algorithms for sorting, searching, graph computations, pattern matching, NP-complete problems.
    Credit: 3 Hours. Prerequisites: Grade of C or better in Stat 381 and MCS 360; or EECS 360. Instructors/Teaching Assistants
    Not all courses will necessarily be offered each term. For the latest official information, please consult the UIC Timetable for a listing of courses offered this term. This listing is for informational purposes only and does not constitute a contract. Every attempt is made to provide the most current and correct information. Courses listed here are subject to change without advance notice. Courses are not necessarily offered every term or year. Individual departments or units should be consulted for information regarding frequency of course offerings. Return to MSCS Homepage Updated September 28, 1998

    52. CMSC 451, Design And Analysis Of Computer Algorithms (3 Credits).
    CMSC 451, Design and Analysis of computer algorithms (3 credits). This course studies fundamental techniques for designing and analyzing computer algorithms.
    http://www.cs.umd.edu/class/grad/brochure/brochure/paragraph3_6_0_0_13.html
    Next: CMSC 452Elementary Up: Computer Science Graduate Previous: CMSC 450Elementary
    CMSC 451, Design and Analysis of Computer Algorithms (3 credits).
    Prerequisite: CMSC 113 and 250 (CMSC 420 recommended). This course studies fundamental techniques for designing and analyzing computer algorithms. Basic methods to be discussed include greedy methods, divide-and-conquer techniques, search and traversal techniques, dynamic programming, backtracking methods, and algebraic transformations. csgradof@cs.umd.edu

    53. Wiley Europe::Computer Algorithms: String Pattern Matching Strategies
    WileyEurope Mathematics Statistics Discrete Mathematics computer algorithms String Pattern Matching Strategies.
    http://www.wileyeurope.com/WileyCDA/WileyTitle/productCd-0818654627,subjectCd-MA
    Shopping Cart My Account Help Contact Us
    By Keyword By Title By Author By ISBN By ISSN WileyEurope Discrete Mathematics Computer Algorithms: String Pattern Matching Strategies Related Subjects General Interest Computer Science
    General Computer Engineering

    Finite Mathematics

    General Statistics
    ...
    Special Topics in Mathematics

    Related Titles Discrete Mathematics
    Mathematical Methods in Artificial Intelligence (Hardcover)

    by Edward A. Bender
    Foundations of Discrete Mathematics (Hardcover)

    by K. D. Joshi Introduction to Logistics Systems Planning and Control (Hardcover) by Gianpaolo Ghiani, Gilbert Laporte, Roberto Musmanno Introduction to Logistics Systems Planning and Control (Paperback) by Gianpaolo Ghiani, Gilbert Laporte, Roberto Musmanno Network and Discrete Location: Models, Algorithms, and Applications (Hardcover) by Mark S. Daskin Graph Coloring Problems (Hardcover) by Tommy R. Jensen, Bjarne Toft Building and Solving Mathematical Programming Models in Engineering and Science (Hardcover) by Enrique Castillo, Antonio J. Conejo, Pablo Pedregal, Ricardo Garcia, Natalia Alguacil Join a Discrete Mathematics Computer Algorithms: String Pattern Matching Strategies Jun-ichi Aoe ISBN: 0-8186-5462-7 Paperback 296 pages May 1994, Wiley-IEEE Computer Society Press

    54. CS 305, Computer Algorithms I
    CS 305 computer algorithms I. Fall 2003. Computer programs are very important because they transcend mere data - they include
    http://bluehawk.monmouth.edu/~rclayton/web-pages/f03-305/
    CS 305 - Computer Algorithms I
    Fall 2003
    Computer programs are very important because they transcend mere "data" - they include procedures and processes for structuring and manipulating data - J. Licklider and Robert Taylor
    The Computer as a Communication Device
    Science and Technology , April 1968
    Table of Contents
  • Links
    Course Description
    This is an undergraduate course in basic data structures and algorithms. This course is an introduction to data structures such as lists, stacks, queues, and binary trees, the algorithms that manipulate these data structures, and some informal analysis techniques for estimating the performance of both data structures and algorithms. Prerequisites are MA 120 (Discrete Math) and either CS 176 (Introduction to Computer Science II) or CS 275 (Introduction to an Algorithmic Language). The class is divided into five three-week sections. See the syllabus for details. The class meets in Howard Hall L512 (Go past Howard Hall to Pollak Auditorium; make a left at the Auditorium doors; L512 is the lecture hall just after the Box Office) on Tuesdays and Thursdays from 1:00 to 2:50 p.m. Wednesday, 5 November, is the last day you can withdraw from the class with a W. There will no be class on Thursday, 27 November (Thanksgiving).
    Objectives
    This course represents your first steps towards becoming somebody who can competently write computer programs to to solve problems. By the time this course is over, you should understand
  • 55. Syllabus - SE 520 Computer Algorithms In Java (Fall 2002)
    SE 520 computer algorithms in Java - SE 520. Class Information. Who, Work Phone, e-mail, Office hours. Prof. Russell Quong, 408-616-5896,
    http://quong.best.vwh.net/itu/se520/syllabus.html
    SE 520 - Computer Algorithms in Java - SE 520
    Class Information
    Who Work Phone e-mail Office hours Prof. Russell Quong se520 at quong dot com Mon after class TA: TBA All SE 520 handouts are on the web , see http://www.quong.com/itu/se520/notes.html for details.
    Prerequisites
    A strong background in C and/or C++ or Java. You must have a good knowledge of pointers, arrays, structs/classes, and dynamically allocted memory (via or new ). Familiarity with a PC running Windows or a Unix workstation. If using your own computer, you must be able to install software (the Java programming environment) onto your computer. You must have daily access to (i) computer running Java 1.2.2/1.3.x/1.4.x (Windows 9x/ME/NT/2k, Unix, Linux, or Solaris) at home/work and (ii) you must have internet (web) access from this computer. You may use the computers at ITU.
    Text Required
    Course packet and notes handed out as the class progresses. ($20). Baase, Sara and Van Gelder, Allen, Computer Algorithms : Introduction to Design and Analysis, 3rd ed , Addison-Wesley, November 1999, 688 pages, ISBN 0201612445.

    56. Syllabus - SE 520 Computer Algorithms In Java (Fall 2002)
    SE 520 computer algorithms in Java - SE 520. Guideline Review. Who, Work Phone, e-mail, Office hours. Prof. Russell Quong, 408-616-5896,
    http://quong.best.vwh.net/itu/se520/guidelines.html
    SE 520 - Computer Algorithms in Java - SE 520
    Guideline Review
    Who Work Phone e-mail Office hours Prof. Russell Quong se520@quong.com Mon after class TA: TBA All SE 520 handouts are on the web , see http://www.quong.com/itu/se520/notes.html for details. Here in no particular order are some of the guidelines for SE 520
    General
    • Keep email to be plain text. During the day, my email reader (pine) only reads text.
    • Do not send Word or HTML files to me via email or submit them to the course web site. I do not have Word installed.
    • When asking questions via email, I will post the answer in notes.html, unless you ask me not to. In all cases, I will hide your identity; for good comments, I may thank you via your initials.
    • When asking questions give as many details as possible. I am unable to answer 30%-50% of the questions because not enough information is given to me. In particular, be sure to give the command you tried and the output you got.
    • Expect a 3-36 hour response time via email. If I am busy at work, I will not respond until the evening.
    HW/projects
    • Turn in 2 paper copies your final HW.

    57. Computer Algorithms/C++
    computer algorithms/C++. Ellis Horowitz, Sartaj Sahni, and Sanguthevar Rajasekaran WH Freeman, 1996. Cites Parallel algorithmic techniques
    http://fano.ics.uci.edu/cites/Document/Computer-AlgorithmsC .html

    58. Countrybookshop.co.uk - Computer Algorithms
    computer algorithms by Levitin, Anany, Order This Item. Add Item To Wish List Send information about computer algorithms to my mobile as an SMS message.
    http://www.countrybookshop.co.uk/books/index.phtml?whatfor=0201743957

    59. Computer Algorithms For The Reconstruction Of Spatial Geometry From Stereoscopic
    computer algorithms for the Reconstruction of Spatial Geometry from Stereoscopic Images. by Jonathan Potter. Abstract. The purpose
    http://www.cpcug.org/user/scifair/potter.html
    Computer Algorithms for the Reconstruction of Spatial Geometry from Stereoscopic Images
    by
    Jonathan Potter
    Abstract
    Introduction
    Vision is arguably a human’s most important sense. It allows people to know what is going on in the world around them more comprehensively than any of the other senses. It enables people to avoid obstacles, pick things up, and learn about the environment they are in without actually having to come in contact with that environment. Vision is extremely beneficial for humans for all of these reasons. In much the same way, computer vision is extremely valuable to any machine which is designed to act on its own and needs to adjust to a changing environment. As the Machine Vision and Image Analysis Laboratory at McMaster University says on its homepage, "Computer vision is an emerging new field with applications in automated manufacturing, autonomous vehicle guidance, radar signal processing, and robot guidance." In all of these applications, sight is very important to the machines. It is critical for such machines to know where they are going, and what is in the world around them. One of the most useful aspects of vision is that of depth perception. In order for machines to guide themselves correctly, they need to know how far away things are. Humans have exceptional depth perception, using both monocular and binocular depth cues to determine the distance to objects in the world around them. The technology has not yet been developed for computers to analyze depth as well as humans can. Eventually, however, it may be possible for machines to detect depth as well or better than humans can..

    60. Parallel And Distributed Computing Practices: Vol. 1 No. 4: Book Reviews, Edited
    computer algorithms. This book is a thoroughly revised and updated edition of the bestselling book Fundamentals of computer algorithms.
    http://www.cs.okstate.edu/~pdcp/vols/vol01/vol01no4reviews.html
    Computer Algorithms
    Ellis Horowitz, Sartaj Sahni and Sanguthevar Rajasekaran
    W. H. Freeman, New York, 1998, 700 pp.
    C++ version (1997): ISBN 0-7167-8315-0, $55.00
    Pseudocode version (1998): ISBN 0-7167-8316-9, $55.00
    David S. L. Wei
    Fordham University
    Intelligent JAVA Applications for the Internet and Intranets
    Mark Watson
    Morgan Kaufmann Publishers, San Francisco, 1997, 377 pp.
    ISBN 1-55860-420-0, $44.95
    This book is well written and organized to cover how to apply AI (Artificial Intelligence) techniques for practical Internet and Intranet tools by using the Java programming language. In the book, the author uses neural network and genetic algorithms to develop distributed systems that are applied for the Internet and Intranets, such as client/server model and information retrieval tool and so on.
    Part 1 begins with a good general introduction to AI. The history and survey of Artificial Intelligence research are given briefly. In addition, symbolic processing versus neural networks approaches are discussed. This author opts to use neural network to develop example Internet/Intranet systems in the book.
    This book is a very good reference book for anyone interested in developing systems using Java in distributed environments, especially applying AI techniques. Also, the author provides the CD-ROM that includes the source code for Java classes developed in the book.

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