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Computer Algorithms:     more books (100)

Data Structures and Algorithms with Object-Oriented Design Patterns in Java (Worldwide Series in Computer Science) by Bruno R. Preiss, 1999-08-02 Algorithms for Computer-aided Design of Multivariable Control Systems (Electrical and Computer Engineering) The Art of Computer Programming, Volume 4, Fascicle 0: Introduction to Combinatorial Algorithms and Boolean Functions by Donald E. Knuth, 2008-04-27 Introduction to Algorithms (MIT Electrical Engineering and Computer Science) by Thomas H. Cormen, Charles E. Leiserson, et all 1990-06-25 Algorithms & Data Structures: The Science Of Computing (Electrical and Computer Engineering Series) by Douglas Baldwin, Greg W. Scragg, 2004-06 Algorithms for Random Generation and Counting: A Markov Chain Approach (Progress in Theoretical Computer Science) by A. Sinclair, 1993-02-01 Art of Computer Programming, Volume 2: Seminumerical Algorithms (3rd Edition) by Donald E. Knuth, 1997-11-14 The Art of Computer Programming, Volume 1, Fascicle 1: MMIX -- A RISC Computer for the New Millennium by Donald E. Knuth, 2005-02-24 Algorithms and Programming: Problems and Solutions (Springer Undergraduate Texts in Mathematics and Technology) by Alexander Shen, 2009-12-17 Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms (Texts in Theoretical Computer Science. An EATCS Series) by J. Hromkovic, 2010-11-30 An Open Design for Computer-Aided Algorithmic Music Composition: athenaCL by Christopher Ariza, 2005-10-30 Computer Arithmetic: Algorithms and Hardware Designs (The Oxford Series in Electrical and Computer Engineering) by Behrooz Parhami, 2009-10-28 Java Algorithms by Scott Robert Ladd, 1997-12-22 Super-Recursive Algorithms (Monographs in Computer Science) by Mark Burgin, 2010-11-02

lists with details

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

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
    
    Extractions: 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:

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

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

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
    
    Extractions: 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/
    
    Extractions: 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 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 The required textbook for this course is: Text's Websites: 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
    
    Extractions: 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. 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. 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
    
    Extractions: 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
    
    Extractions: 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
    
    Extractions: Next: CMSC 452Elementary Up: Computer Science Graduate Previous: CMSC 450Elementary 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

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/
    
    Extractions: Science and Technology , April 1968 Links 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). 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
    
    Extractions: 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. 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. 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

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
    
    Extractions: Jonathan Potter 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
    
    Extractions: 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.

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