This monograph breaks with the tradition and studies a number of critical elements of a theory of representations for GEAs and applies them to the empirical study of various important idealized test functions and problems of commercial import.
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Representations for Genetic and Evolutionary
Labels: Algorithms
Foundations of Algorithms Using C++ Pseudocode, Third Edition
This book offers a well-balanced presentation on designing algorithms, complexity analysis of algorithms, and computational complexity that is accessible to mainstream computer science students who have a background in college algebra and discrete structures.
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Adaptive and Natural Computing Algorithms
The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.
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Computer Arithmetic Algorithms
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Foundations of Algorithms Using C++ Pseudocode, Third Edition
This book offers a well-balanced presentation on designing algorithms, complexity analysis of algorithms, and computational complexity that is accessible to mainstream computer science students who have a background in college algebra and discrete structures.
Labels: Algorithms
Algorithems books collection
Algorithms.in.Java.Part1-4.-.robert.sedgewick.chm 20-May-2005 02:00 5.4M
Algorithms.in.Java.Part5.-.robert.sedgewick.chm 20-May-2005 02:00 4.2M
http://www.scheff.ch/files/
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Analysis of Algorithms.pdf 24-Jan-2007 10:33 77K
Binary Search/ 17-Jan-2007 00:08 -
Bubble Sort Analysis/ 10-Jan-2007 10:25 -
Fibonacci/ 21-Jan-2007 20:45 -
Growing Array Storage/ 31-Jan-2007 15:16 -
Linear Recursion/ 17-Jan-2007 00:08 -
Mystery Method Analysis/ 17-Jan-2007 00:09 -
Proof Techniques.pdf 24-Jan-2007 10:35 18K
Trees/ 12-Feb-2007 09:30 -
http://scs.carleton.ca/~ldnel/2402winter2007/examples/Analysis%20of%20Algorithms/
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Bioinformatics - Genetic Algorithm And Direct Search Toolbox - Matlab.pdf 13-Oct-2006 16:20 3.6M
John Wiley & Sons - Practical Genetic Algorithms 2Nd Edition - 2004 (Isbn 0471455652)(261S)(Haupt.pdf 13-Oct-2006 16:20 2.5M
Mitchell 99-An Introduction To Genetic Algorithms (MIT).pdf 13-Oct-2006 16:20
http://www.dee.ufrn.br/~alfredo/ag/Livros/
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Introduction.to.Algorithms.1997-ZH.rar 2006-Apr-29 23:10:18 24.4M
MIT.Introduction.to.Algorithms.Second.Edition.chm 2006-Apr-29 23:25:16 17.9M
http://www.woodpecker.org.cn:9081/doc/Algorithms/
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Introduction to Algorithms, Second Edition
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Writing for Computer Science
Scientific papers are an important tool for communicating ideas, of copying thoughts between minds. Public mistakes not only make a scientist look foolish, but they can hurt a career as well. As such, publications should be as free as possible from distortion; this generally means writing with clarity and simplicity, and constructing the thoughts into a clear presentation to omit ambiguity and frustration of reading. Writing for Computer Science is an introduction to the style and presentation of scientific reports with computing or mathematical content. Aimed at students and researchers, this book deals in a concise way with topics such as article design, writing style, illustrations, algorithms, as well as the scientific process itself. With a focus on writing for the mathematical sciences, it: . shows how to design an article; gives practical guidelines for writing style; explains punctuation in a no nonsense way; gives tips for the presentation of mathematics; presents best practice for graphs, figures, and tables; guides on the presentation of algorithms, hypotheses, and experiments; explains about editing and refereeing. Seminar presentation, a section on spelling conventions, and a detailed bibliography complete this handy guide to style and presentation.
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Mirror
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Parallel Scientific Computing in C and MPI: A Seamless Approach to Parallel Algorithms and their Implementation
This book provides a seamless approach to numerical algorithms, modern programming techniques and parallel computing. These concepts and tools are usually taught serially across different courses and different textbooks, thus observing the connection between them. The necessity of integrating these subjects usually comes after such courses are concluded (e.g., during a first job or a thesis project), thus forcing the student to synthesize what is perceived to be three independent subfields into one in order to produce a solution. The book includes both basic and advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Advanced topics include wavelets, high-order methods, non-symmetric systems and parallelization of sparse systems.
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Algorithms and Complexity by Herbert S. Wilf
Updated and back in print, this classic text provides the perfect introduction to the tools of algorithmic design and analysis, concentrating on basic principles and illustrating them with well-chosen paradigms such as:
• Fast Fourier Transform
• NP-Completeness
• Number Theory and Cryptography
Including updated topics for the new edition:
• The Network Flow Algorithm
• A breakthrough result in Primality Testing
And very importantly, it contains solutions and hints for most of the problems.
Book Info
Classic text provides the perfect introduction to the tools of algorithmic design and analysis, concentrating on basic principles and illustrating them with well-chosen paradigms.
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The Algorithm Design Manual by Steve S. Skiena
This volume helps take some of the "mystery" out of identifying and dealing with key algorithms. Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide. THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains: * a complete hypertext version of the full printed book. * the source code and URLs for all cited implementations. * over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.
Review
"...the book is an algorithm implementation treasure trove, and putting all of these implementations in one place was no small feat. The list of implementations, an extensive bibliography, and the CD-ROM make the book an invaluable resource for everyone interested in the subject." --ACM Computing Reviews
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Problems on Algorithms
Too often the problem sets in standard algorithm texts are composed of small, idiosyncratic units of busy-work and irrelevant questions -- forcing instructors into the time-consuming task of finding or composing additional problems. Designed to fill that gap, this supplement provides an extensive and varied collection of useful, practical problems on the design, analysis, and verification of algorithms.
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Recent Advances in Algorithms and Combinatorics
"Combinatorics is one of the fastest growing fields of mathematics. … From the table of contents one can see the wide range of topics covered. The authors are acknowledged researchers of the presented fields and guarantee the high quality of the volume. If you want to be up-to-date in combinatorics you should have this volume close to your hands." (Péter Hajnal, Acta Scientarium Mathematicarum, Vol. 69, 2003)
"This edited volume contains nine carefully written chapters in the area of combinatorics. … The book is very well written and can be read individually by research students. The volume is of definite interest for researchers in combinatorics, graph theory and theoretical computer science. This book is certainly value for money and I would highly recommend it as an essential purchase for a university library." (G. Gutin, Journal of the Operational Research Society, Vol. 55 (5), 2004)
Combinatorics is one of the fastest growing fields of mathematics. One reason for this is because many practical problems can be modeled and then efficiently solved using combinator combinatorial theory. This real world motivation for studying algorithmic combinatorics has led not only to the development of many software packages but also to some beautiful mathematics which has no direct application to applied problems. This book highlights a few of the exciting recent developments in algorithmic combinatorics, including the search for patterns in DNA and protein sequences, the theory of semi-definite programming and its role in combinatorial optimization, and the algorithmic aspects of tree decompositions and it's applications to the theory of databases, code optimization, and bioinformatics. Claudia Linhares-Sales is Assistant Professor of Computer Science at the Federal University of Cearß, Brazil. Bruce Reed is Canada Research Chair in Graph Theory at the School of of Computer Science of McGill University.
Highlights a few of the exciting recent developments in algorithmic combinatorics, including the search for patterns in DNA and protein sequences, code optimization, theory of databases, and bioinformatics.
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Labels: Algorithms