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         Computer Algorithms:     more books (100)
  1. The Algorithmic Process: An Introduction to Problem Solving (The SRA Computer Science Series) by Gregory F. Wetzel, William C. Bulgren, 1985-01
  2. Data Structures and Algorithms for Game Developers (Game Development Series) by Allen Sherrod, 2007-05-04
  3. Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology by Dan Gusfield, 1997-05-28
  4. Handbook of Approximation Algorithms and Metaheuristics (Chapman & Hall/Crc Computer and Information Science Series)
  5. Handbook of Computer Vision Algorithms in Image Algebra, Second Edition by Gerhard X. Ritter, Joseph N. Wilson, 2000-09-21
  6. The Art of Computer Programming, Volume 4, Fascicle 0: Introduction to Combinatorial Algorithms and Boolean Functions by Donald E. Knuth, 2008-04-28
  7. Computer Arithmetic: Algorithms and Hardware Designs by Behrooz Parhami, 1999-09-09
  8. Algorithms in Java, Part 5: Graph Algorithms (3rd Edition) (Algorithms in Java) by Robert Sedgewick, 2003-07-25
  9. Survivable Networks: Algorithms for Diverse Routing (The Springer International Series in Engineering and Computer Science) by Ramesh Bhandari, 1999-01-15
  10. The Algorithm Design Manual by Steve S. Skiena, 1998-07-31
  11. An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) by J.A. Storer, 2001-11-09
  12. Algorithms for Computer Algebra by Keith O. Geddes, Stephen R. Czapor, et all 1992-09-30
  13. Approximation Algorithms by Vijay V. Vazirani, 2004-03-22
  14. Introduction to Algorithms (MIT Electrical Engineering and Computer Science) by Thomas H. Cormen, Charles E. Leiserson, et all 1990-06-18

21. Data Structures And Algorithms - TEXTS
computer algorithms introduction to design and analysis / Sara Reading, Aho, Alfred V. The design and analysis of computer algorithms / Alfred V. Aho,
http://ciips.ee.uwa.edu.au/~morris/Year2/PLDS210/texts.html
Data Structures and Algorithms
Texts
The following is a (non-exhaustive) list of texts which are in the UWA library which cover aspects of this course. Not all the texts cover all the material - you will need to search a little for some of the topics. Since there are many texts here, it's probably simpler to note a few representative catalogue numbers and simply look in the shelves in that area! For instance 005.37 obviously has a decent block of texts. Texts highlighted in red have been used as sources for some of the material in this course. Brown, Marc H. Algorithm animation / Marc H. Brown. Cambridge, Mass : M.I.T. Press, c1988. FIZ 006.6 1988 ALG x Harel, David, 1950- Algorithmics : the spirit of computing / David Harel. Wokingham, England ; Reading, Mass : Addison-Wesley, c1987. FIZ 004 1987 ALG x Sedgewick, Robert, 1946- Algorithms / Robert Sedgewick. Reading, Mass : Addison-Wesley, c1983. SRR 517.6 1983 ALG DUE 22-11-96 x Sedgewick, Robert, 1946- Algorithms / Robert Sedgewick. Reading, Mass : Addison-Wesley, c1988. FIZ Reserve 517.6 1988 ALG x FIZ Reserve 517.6 1988 ALG x

22. Computer Algorithms - Rensselaer CSCI-4020

http://www.cs.rpi.edu/~yener/TEACHING/Algorithms/
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23. Computer Music In Introductory CS Courses
Algorithmic granular synthesis is a method in which computer algorithms manipulate small grains of sound. These grains can vary in duration from the
http://www.cs.smith.edu/~jfrankli/music/algorithms.html
Listen to Computer Science Algorithms
Judy Franklin
Computer Science Department
Smith College
Northampton, MA 01063
jfranklin@cs.smith.edu
Student Collaborators: Liz Laverty, Veronica Morales, Shana Negin
Generating Grains using Sinusoids
Click here to hear the result.
Quick Sort
The quick sort is another algorithm that we used to generate grains of sound in order to form a composite sound wave. Recall that the quick sort is a recursive algorithm that first finds the midpoint value of the list. Then it starts at the endpoints and moves toward the center. Whenever an element on the left is greater than the center, it is swapped with an element on the right that is less than the center in value. The result is a list that is composed of two unsorted sub-lists, but each element in the first sub-list is less than each element in the second sub-list. Quick sort is then called recursively on each sub-list. As the quick sort is sorting our randomly generated list, whenever two values are swapped, the indices of both values are stored in a second array, in a manner similar to that described above for the bubble sort. Once again, the actual values being sorted are irrelevant. It is only the index values that are important and that reflect the mechanics of the quick sort. As before, after the sort, a 0.1 second long sinusoid with frequency scaled by an index value, is generated; one grain is generated for each index value in the second array. The grains are again placed side by side to create one long sound wave that demonstrates the algorithm.

24. ScienceDaily Books : The Design And Analysis Of Computer Algorithms (Addison-Wes
Buy The Design and Analysis of computer algorithms Books cheap.
http://www.sciencedaily.com/cgi-bin/apf4/amazon_products_feed.cgi?Operation=Item

25. Bookpool: Computer Algorithms: Introduction To Design And Analysis
computer algorithms Introduction to Design and Analysis Chapter 1 Analyzing Algorithms and Problems Principles and Examples
http://www.bookpool.com/sm/0201612445
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Computer Algorithms: Introduction to Design and Analysis View Larger Image Sara Baase Allen Van Gelder
Addison-Wesley, Hardcover, 3rd edition, Published November 1999, 688 pages, ISBN 0201612445 List Price: $104.20
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Availability: Out-Of-Stock Be the First to Write a Review and tell the world about this title! Books on similar topics, in best-seller order: Books from the same publisher, in best-seller order:
Drawing upon combined decades of teaching experience, Professors Sara Baase and Allen Van Gelder have extensively revised this best seller on algorithm design and analysis to make it the most current and accessible book available. This edition features an increased emphasis on algorithm design techniques such as divide-and-conquer and greedy algorithms, along with the addition of new topics and exercises. It continues the tradition of solid mathematical analysis and clear writing style that made it so popular in previous editions. Highlights
  • Emphasizes the development of algorithms through a step-by-step process rather than merely presenting the end result
  • Provides extensive treatment of recursion with a clear, student-friendly review of how it works and why it is a valuable programming technique

26. Yi-Jen Chiang's Home Page
computer algorithms outof-core algorithms, computational geometry, European Symp. on Algorithms (ESA 96), Lecture Notes in Computer Science, vol.
http://cis.poly.edu/chiang/
Yi-Jen Chiang
Associate Professor of Computer Science
How to Reach Me
yjc@poly.edu
Dept. of Computer and Information Science
Polytechnic University
5 MetroTech Center
Brooklyn, NY 11201-3840
USA
+1 (718) 260-3395 (office)
+1 (718) 260-3609 (fax)
Research Interests
Computer Graphics: out-of-core graphics and scientific visualization, isosurface extraction, view-dependent surface simplification and rendering, volume simplification, graphics compression, volume rendering. Computer Algorithms: out-of-core algorithms, computational geometry, graph algorithms, approximation algorithms, data structures.
Teaching
CS653: Interactive Computer Graphics (Fall 1998, Spring and Fall 1999, Spring and Fall 2000, Spring and Fall 2001, Spring and Fall 2002, Spring and Fall 2003, Spring and Fall 2004, and Spring 2005
CS604: Design and Analysis of Algorithms II (Spring 2000, Spring 2001, Spring 2002, Spring 2003, Spring 2004, and Spring 2005
CS394: Special Topics in Computer Science: Senior Projects (Fall 2004)
CS903: Special Topics: Computational Geometry (Spring 1999)
Tutorial Courses

27. Division Of Computer And Information Sciences, Rutgers University: CS-344: Desig
01198344 Design And Analysis Of computer algorithms Offered in FALL AND SPRING Credits 4 Objectives To study a variety of useful algorithms and analyze
http://www.cs.rutgers.edu/cs/academics/undergraduate/344.html
Search CS site
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Maintained by web@cs.rutgers.edu
CS-344: Design and Analysis of Computer Algorithms
01:198:344 Design And Analysis Of Computer Algorithms Offered in: FALL AND SPRING Credits: 4 Objectives: To study a variety of useful algorithms and analyze their complexity; by that experience to gain insight into principles and data-structures useful in algorithm design. This course is REQUIRED of all CS Majors. Prerequisites: 01:198:112 Data Structures 01:198:206 Introduction to Discrete Structures II

28. MIT OpenCourseWare Electrical Engineering And Computer Science
The Design and Analysis of computer algorithms. AddisonWesley, 1974. computer algorithms Introduction to Design and Analysis. 2nd ed.
http://www.core.org.cn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-046J

29. CS6363: Computer Algorithms
CS 6363001 computer algorithms ECSS 2.311 Spring 2005 TTR 200 315. Instructor R. Chandrasekaran Office ECSN 4.622 ( Please Note that this
http://www.utdallas.edu/~chandra/documents/6363.htm
CS 6363 001: Computer Algorithms
ECSS 2.311 Spring 2005
...... TTR 2:00 3:15 Instructor: R. Chandrasekaran
Office:
ECSN 4.622 ( Please Note that this is in the OLD building!!!) Phone: E-mail: chandra@utdallas.edu
Office Hours:
URL:
http://www.utdallas.edu/~chandra
email: chandra@utdallas.edu Teaching Assistant: Mehmet Baysan
M: 3:00 5:00 Open Lab; TR: 4:00 6:00 ECSS 4.409
email: baysan@student.utdallas.edu Textbook: ``Introduction to Algorithms, (Second Edition)'' by T.H. Cormen, C.E. Leiserson, R.L. Rivest, and Clifford Stein. Prerequisites: CS 5343 or equivalent (Data structures and algorithms): Abstract data types: lists, stacks, queues, trees, search trees. Hashing. Priority queues: heaps. Sorting and searching. Graphs: representation and algorithms. Course Objectives: Study efficient algorithms for a number of fundamental problems, learn techniques for designing algorithms using approriate data structures, prove correctness and analyze running times of algorithms, . Topics: Recurrence relations, Order notation. Divide and conquer, greedy methods, dynamic programming, linear programming, and inductive algorithms. Graph algorithms: Search techniques: DFS and BFS, Minimum spanning trees, Shortest path problems, Maximum flow problems, Matchings, NP-completeness, Reductions. Grades: Assignments -20%; Exam I (40%); Exam II - (40%)

30. CS6363: Design And Analysis Of Computer Algorithms
CS 6363 Design and Analysis of computer algorithms. Instructor Ovidiu Daescu Office ECSS 4.224 Phone (972) 8834196 E-mail daescu@utdallas.edu
http://www.utdallas.edu/~daescu/cs6363spr05.html
CS 6363: Design and Analysis of Computer Algorithms Instructor: Ovidiu Daescu
Office: ECSS 4.224
Phone:
E-mail:
daescu@utdallas.edu
Office Hours: MW 7:00-8:00pm
URL: http://www.utdallas.edu/~daescu
Teaching Assistant: Srinivasan Krishnamurthy
Office: ECSS 4.213
Office Hours: TR 10am-12pm
E-mail: ksrini@student.utdallas.edu
Syllabus
Important Dates:
  • First class on January 10, 5:30pm, ECSS 2.415.
  • Midterm examination: February 21, in class, during class time.
  • Final Examination: April 25, in class, during class time (this may change).
  • The classes on Jan. 19 (solving recurrences) and Jan. 24 (linear time selection algorithm) will be covered by my colleague Sergey Bereg.
  • There will be no office hours Feb. 23.
  • The office hours for April 13th are moved to April 15th, 10-11am.
  • You can come to see your final exam score and final grade during office hours on Monday, May 2.
Lecture notes Homeworks:
Late Submission and Attendance Policy
All homeworks should be submitted by their due date in order to be considered for full credit. Exceptions can be made for valid medical reasons. Late submissions are not permitted once the graded homework has been returned to students, or the solution to the homework has been provided (whichever is earlier). If a student is unable to take the examinations or quizzes on their scheduled dates, he/she should inform the instructor well in advance. Makeup examinations will be scheduled only if the student has a valid medical excuse.

31. Computer Algorithms: Introduction To Design And Analysis (2nd Ed.)
S. Krishnaprasad, Presenting computer algorithm knowledge units in computer science curriculum, The Journal of Computing in Small Colleges, v.16 n.2,
http://portal.acm.org/citation.cfm?id=42316

32. Mesh Computer Algorithms For Computational Geometry
Mesh computer algorithms for Computational Geometry. Full text, Full text available on the Publisher site Publisher Site
http://portal.acm.org/citation.cfm?id=63368

33. Groupe ESIEE Paris : Research : Computer Algorithms And Architecture Lab.
R D computer algorithms and Architecture Laboratory (A2SI) the devising of algorithms which formalize the solving of information processing problems
http://www.esiee.fr/en/research/a2si.php
Home : Computer Algorithms and Architecture Lab. Overview Graduate Degree Programs Partnerships Contacts Computer Algorithms and Architecture Laboratory (A2SI) Design and Control of Industrial Systems Laboratory (COSI) Electronics and Microelectronics Laboratory (ELMI) Signal Processing and Telecommunications Laboratory (SIGTEL) Modeling and Numerical Simulation Laboratory (MOSIM) ... French Site Tue September 20 2005 Laboratory personnel 14 faculty members, 2 engineers / laboratory technicians, 1 administrative assistant, 8 doctoral students. For more information, consult the A2SI laboratory web site Fields of interest Teaching, research, and development carried out by A2SI are focused on information systems, i.e. assemblies of hardware and software components used for the transmission, processing, and storage of data. Two areas are fundamental to the implementation of such information systems : - the devising of algorithms which formalize the solving of information processing problems into a sequence of operations, and - the elaboration of hardware architectures (such as dedicated architectures, parallel architectures, programmable components, etc.) and software components (e.g., distributed object-oriented architecture) which determine how the sequence of operations can best be carried out given specific application constraints.

34. Groupe ESIEE Paris : R & D : Computer Algorithms And Architecture Laboratory (A2
computer algorithms and Architecture Laboratory (A2SI) the devising of algorithms which formalize the solving of information processing problems into a
http://www.esiee.fr/recherche/a2si_en.html

Accueil
: Computer Algorithms and Architecture (A2SI)
Overview
Graduate Degree Programs Partnerships Contact Computer Algorithms and Architecture (A2SI) Design and Control of Industrial Systems (COSI) Electronics and Microelectronics (ELMI) Signal Processing and Telecommunications (SIGTEL) Modeling and Numerical Simulation (MOSIM) ... Communication Laboratory (LACMA) Computer Algorithms and Architecture Laboratory (A2SI) Laboratory personnel 14 faculty members, 2 ingineers / laboratory technicians, 1 administrative assistant, 8 doctoral students. For more information, consult the A2SI laboratory web site Fields of interest Teaching, research, and development carried out by A2SI are focused on information systems, i.e. assemblies of hardware and software components used for the transmission, processing, and storage of data. Two areas are fundamental to the implementation of such information systems : the devising of algorithms which formalize the solving of information processing problems into a sequence of operations, and the elaboration of hardware architectures (such as dedicated architectures, parallel architectures, programmable components, etc.) and software components (e.g., distributed object-oriented architecture) which determine how the sequence of operations can best be carried out given specific application constraints.

35. TH Algorithm
New fast iterative computer algorithms for the Tower of Hanoi puzzle they were never before programmed for a computer) algorithms for the classical
http://hanoitower.mkolar.org/algo.html
New fast iterative computer algorithms for the Tower of Hanoi puzzle
M. Kolar
February 9, 1998 Abstract Two new (in the sense that, as far as I know, they were never before programmed for a computer) algorithms for the classical Tower of Hanoi problem and their variations are discussed. They all seem to be faster than the fastest algorithm of M. C. Er. (Dec. 2, 2000: But not for all compilers 1. Introduction The Tower of Hanoi problem is an old puzzle concerned with moving n disks of decreasing diameter all initially stacked on one peg to another peg in a minimal number of moves. Disks must be moved one at a time, only the topmost disk on each peg can be moved, and a larger disk may never be placed on top of a smaller one. A third spare peg is available for the intermediate placement of the disks. The three pegs are numbered 1, 2, and 3. For simplicity, in all the algorithms discussed here, it is assumed that the starting (home) peg is 1, the goal peg is 3, and the spare peg is number two. Disks are numbered consecutively from the smallest to the largest from 1 to n . Initially they are all stacked on peg 1, disk

36. TRT DEMO
Mathematics General principles of mathematics Mathematical models Algorithms computer algorithms. Ubmg Algorithms Ubmgc computer algorithms
http://ntl.bts.gov/trt/trt_hierarchy.jsp?NN=Ubmgc

37. CS401 - Computer Algorithms
CS401 computer algorithms. Textbook. computer algorithms Introduction to Design and Analysis, Third Edition, by Sara Baase and Allen Van Gelder
http://www.cs.uic.edu/~hxiao/courses/cs401.html
CS401 - Computer Algorithms
Textbook
Computer Algorithms: Introduction to Design and Analysis , Third Edition, by Sara Baase and Allen Van Gelder
Description
The course covers general techniques for designing computer algorithms, as well as specific algorithms for a number of important computations (sorting, searching, shorted paths in graphs, etc.).
Lecture Notes ( Class site

38. MIT OpenCourseWare | Electrical Engineering And Computer Science | 6.046J Introd
computer algorithms Introduction to Design and Analysis. 2nd ed. Fundamentals of computer algorithms. Potomac, MD Computer Science Press, 1978.
http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-046JFall
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  • Course Home Syllabus Calendar ... Introduction to Algorithms, Fall 2004
    Readings
    In addition to the list of useful references for the course, see the readings by session below. The following books are useful references for the course: Aho, Alfred V., John E. Hopcroft, and Jeffrey D. Ullman. The Design and Analysis of Computer Algorithms . Reading, MA: Addison-Wesley, 1974. ISBN: 0201000296.
    The classic text, but it lacks topics in network flows and linear programming, as well as more recent algorithms. Aho, Alfred V., John E. Hopcroft, and Jeffrey D. Data Structures and Algorithms . Reading, MA: Addison-Wesley, 1983. ISBN: 0201000237.
    Revised and more elementary version of the first six chapters of The Design and Analysis of Computer Algorithms Baase, Sara. Computer Algorithms: Introduction to Design and Analysis . 2nd ed. Reading, MA: Addison-Wesley, 1988. ISBN: 0201060353.
    General reference, although the exposition is sometimes terse or sketchy. Bentley, Jon Louis. Programming Pearls . Reading, MA: Addison-Wesley, 1986. ISBN: 0201103311.

39. CS 305, Computer Algorithms I
CS 305 computer algorithms I. Fall 2003. Computer programs are very important because they transcend mere data - they include procedures and processes
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
  • 40. Computer Algorithms
    computer algorithms / Programs. This section contains snipits of, or complete computer algorithms/programs that pertain to either the mathematics of
    http://www.bjmath.com/bjcomputer/computer/algorithms.htm
    Computer Algorithms / Programs
    This section contains snipits of, or complete computer algorithms/programs that pertain to either the mathematics of blackjack or to the game itself. Last Updated: Article Blackjack Game and Basic Strategy Calculator (Version 5.0) by Eric Farmer. Update to two fine programs plus source code. One program enables a user to calculate the basic strategy for various rules. It also allows one to calculate the EV for specific player hands vs dealer up card. The other program allows one to play and simultaneously displays the EV for each of the play options. Blackjack Game and Basic Strategy Calculator (Version 4.1) by Eric Farmer. Update to two fine programs plus source code. One program enables a user to calculate the basic strategy for various rules. It also allows one to calculate the EV for specific player hands vs dealer up card. The other program allows one to play and simultaneously displays the EV for each of the play options. Introduction to SIMSIMP.BAS by ET Fan. SIMSIMP is a blackjack SIMulator program with an emphasis on SIMPlicity and readability. The concept is to provide a serious research tool, and a FAST, FREE sim program together in one package. Blackjack Counting System Generator (Version 1.3) by CL. An absolutely marvelous idea for an Excel spreadsheet that enables one to generate their own optimal counting system.

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