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Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3rd Edition

Oct 16, 2009


Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3rd Edition

Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3rd Edition

Algebraic Geometry is the study of systems of polynomial equations in one or more variables, asking such questions as: Does the system have finitely many solutions, and if so how can one find them? And if there are infinitely many solutions, how can they be described and manipulated?

The solutions of a system of polynomial equations form a geometric object called a variety; the corresponding algebraic object is an ideal. There is a close relationship between ideals and varieties which reveals the intimate link between algebra and geometry. Written at a level appropriate to undergraduates, this book covers such topics as the Hilbert Basis Theorem, the Nullstellensatz, invariant theory, projective geometry, and dimension theory.

The algorithms to answer questions such as those posed above are an important part of algebraic geometry. Although the algorithmic roots of algebraic geometry are old, it is only in the last forty years that computational methods have regained their earlier prominence. New algorithms, coupled with the power of fast computers, have led to both theoretical advances and interesting applications, for example in robotics and in geometric theorem proving.

In addition to enhancing the text of the second edition, with over 200 pages reflecting changes to enhance clarity and correctness, this third edition of Ideals, Varieties and Algorithms includes: A significantly updated section on Maple in Appendix C; Updated information on AXIOM, CoCoA, Macaulay 2, Magma, Mathematica and SINGULAR; A shorter proof of the Extension Theorem presented in Section 6 of Chapter 3.

“I consider the book to be wonderful. … The exposition is very clear, there are many helpful pictures, and there are a great many instructive exercises, some quite challenging … offers the heart and soul of modern commutative and algebraic geometry.”
–The American Mathematical Monthly

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Algorithms and Computation: 15th International Symposium



Algorithms and Computation: 15th International Symposium

Algorithms and Computation: 15th International Symposium

Product Description

This book constitutes the refereed proceedings of the 15th International Symposium on Algorithms and Computation, ISAAC 2004, held in Hong Kong, China in December 2004.

The 76 revised full papers presented were carefully reviewed and selected from 226 submissions. Among the topics addressed are computational geometry, graph computations, computational combinatorics, combinatorial optimization, computational complexity, scheduling, distributed algorithms, parallel algorithms, data structures, network optimization, randomized algorithms, and computational mathematics more generally.

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Computer Vision: Algorithms and Applications



Computer Vision: Algorithms and Applications

Computer Vision: Algorithms and Applications

The book emphasizes basic techniques that work under real-world conditions, not the esoteric mathematics that has intrinsic elegance but less practical applicability. The text is suitable for teaching a senior-level undergraduate course in computer vision to students in computer science and electrical engineering.

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Data Structures & Algorithms in Java



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Product Description
Once you’ve learned to program, you run into real-world problems that require more than a programming language alone to solve. Data Structures and Algorithms in Java is a gentle immersion into the most practical ways to make data do what you want it to do. Lafore’s relaxed mastery of the techniques comes through as though he’s chatting with the reader over lunch, gesturing toward appealing graphics. The book starts at the very beginning with data structures and algorithms, but assumes the reader understands a language such as Java or C++. Examples are given in Java to keep them free of explicit pointers.

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Beginning Algorithms





Beginning Algorithms
Publisher: Wrox | ISBN: 0764596748 | edition 2005 | PDF | 608 pages | 9,22 Mb

A good understanding of algorithms, and the knowledge of when to apply them, is crucial to producing software that not only works correctly, but also performs efficiently. This is the only book to impart all this essential information-from the basics of algorithms, data structures, and performance characteristics to the specific algorithms used in development and programming tasks.

Packed with detailed explanations and instructive examples, the book begins by offering you some fundamental data structures and then goes on to explain various sorting algorithms. You’ll then learn efficient practices for storing and searching by way of hashing, trees, sets, and maps. The authors also share tips on optimization techniques and ways to avoid common performance pitfalls. In the end, you’ll be prepared to build the algorithms and data structures most commonly encountered in day-to-day software development.
What you will learn from this book
* The basics of algorithms, such as iteration and recursion
* Elementary data structures such as lists, stacks, and queues
* Basic and advanced sorting algorithms including insertion sort, quicksort, and shell sort
* Advanced data structures such as binary trees, ternary trees, and heaps
* Algorithms for string searching, string matching, hashing, and computational geometry
* How to use test-driven development techniques to ensure your code works as intended
* How to dramatically improve the performance of your code with hands-on techniques for profiling and optimization
Who this book is for
This book is for anyone who develops applications, or is just beginning to do so, and is looking to understand algorithms and data structures. An understanding of computer programming is beneficial.
Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.

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Experimental Algorithms



Experimental Algorithms

Experimental Algorithms

Product Description

This book constitutes the refereed proceedings of the 8th International Symposium on Experimental and Efficient Algorithms, SEA 2009, held in Dortmund, Germany, in June 2009.

The 23 revised full papers were carefully reviewed and selected from 64 submissions and present current research on experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications. Contributions are supported by experimental evaluation, methodological issues in the design and interpretation of experiments, the use of (meta-) heuristics, or application-driven case studies that deepen the understanding of a problem’s complexity.

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Logic and Theory of Algorithms



Logic and Theory of Algorithms

Logic and Theory of Algorithms

Product Description

This book constitutes the refereed proceedings of the 4th International Conference on Computability in Europe, CiE 2008, held in Athens, Greece, in June 2008.

The 36 revised full papers presented together with 25 invited tutorials and lectures were carefully reviewed and selected from 108 submissions. Among them are papers of 6 special sessions entitled algorithms in the history of mathematics, formalising mathematics and extracting algorithms from proofs, higher-type recursion and applications, algorithmic game theory, quantum algorithms and complexity, and biology and computation.

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Beginning Algorithms (Wrox Beginning Guides)



Beginning Algorithms (Wrox Beginning Guides)
Publisher: Wrox | ISBN: 0764596748 | edition 2005 | PDF | 608 pages | 9,22 mb


Beginning Algorithms
A good understanding of algorithms, and the knowledge of when to apply them, is crucial to producing software that not only works correctly, but also performs efficiently. This is the only book to impart all this essential information-from the basics of algorithms, data structures, and performance characteristics to the specific algorithms used in development and programming tasks.
Packed with detailed explanations and instructive examples, the book begins by offering you some fundamental data structures and then goes on to explain various sorting algorithms. You’ll then learn efficient practices for storing and searching by way of hashing, trees, sets, and maps. The authors also share tips on optimization techniques and ways to avoid common performance pitfalls. In the end, you’ll be prepared to build the algorithms and data structures most commonly encountered in day-to-day software development.
What you will learn from this book
* The basics of algorithms, such as iteration and recursion
* Elementary data structures such as lists, stacks, and queues
* Basic and advanced sorting algorithms including insertion sort, quicksort, and shell sort
* Advanced data structures such as binary trees, ternary trees, and heaps
* Algorithms for string searching, string matching, hashing, and computational geometry
* How to use test-driven development techniques to ensure your code works as intended
* How to dramatically improve the performance of your code with hands-on techniques for profiling and optimization
Who this book is for
This book is for anyone who develops applications, or is just beginning to do so, and is looking to understand algorithms and data structures. An understanding of computer programming is beneficial.
Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.


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Introduction to Algorithms 2nd Edition(Hardcover) [Rapidshare]



There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms 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 the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming, as well as extensive revisions to virtually every section of the book. In a subtle but important change, loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus, the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning.

Product Details

  • Hardcover: 1184 pages
  • Publisher: The MIT Press; 2nd edition (September 1, 2001)
  • Language: English
  • ISBN-10: 0262032937
  • ISBN-13: 978-0262032933
  • Product Dimensions: 9.1 x 8.1 x 2 inches

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Fethi A. Rabhi, Guy Lapalme, “Algorithms: A Functional Programming Approach”



Algorithms: A Functional Programming Approach

Fethi A. Rabhi, Guy Lapalme, “Algorithms: A Functional Programming Approach”
Addison Wesley | 1999 | ISBN: 0201596040 | 256 pages | PDF | 2,3 MB

The design of algorithms for problem-solving lies at the heart of computer science. Concise yet authoritative, Algorithms: A Functional Programming Approach teaches the skills needed to master this essential subject. The authors challenge more traditional methods of teaching algorithms by using a functional programming context, with Haskell as the implementation language. This leads to smaller, clearer and more elegant programs which enable the programmer to understand the algorithm itself more quickly and to use that understanding to explore alternative solutions.

Placing the emphasis on program development rather than the mathematical properties of algorithms, the book uses a succession of practical programming examples to develop in the reader problem-solving skills which can be easily transferred to other language paradigms. Key features of this innovative text include: Unmatched collection of functional programming algorithms A wealth of practical examples, bringing the algorithms into clear focus. For computer science students taking algorithms and/or functional programming courses, Algorithms: A Functional Programming Approach represents the ideal textbook. It is also an invaluable reference source of functional programs for practitioners.
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Problems on Algorithms,2 Ed



Jan Parberry, “Problems on Algorithms,2 Ed”
Dover Publications | 2007 | ISBN: 0486458717 | PDF | 272 pages | 2,1 MB

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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Algorithmic Adventures: From Knowledge to Magic



Juraj Hromkovic, “Algorithmic Adventures: From Knowledge to Magic”
Springer | 2009 | ISBN: 3540859853 | 336 pages | PDF | 4 MB

There is a considerable, satisfying and underappreciated depth in the science of computing, it offers so much more than simply a driving licence for using a computer. The author of this book is a top researcher working on the fundamentals of informatics, and he has considerable experience teaching complex subjects in a simple manner. In this book he invites the reader to explore the science of computing, convinced that a good explanation of even the most basic techniques can demonstrate the power and magic of the underlying principles.

The author starts with the development of computer science, algorithms and programming, and then explains and shows how to exploit the concepts of infinity, computability, computational complexity, nondeterminism and randomness. Finally, he offers some insight into emerging computing paradigms such as biological computing and quantum computing.

This book is a fascinating read for students of all levels, and for those curious to learn about the science and magic of algorithmics and its role in other scientific disciplines.

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Applications of Stochastic Programming (MPS-SIAM Series on Optimization)



Product Description
Research on algorithms and applications of stochastic programming, the study of procedures for decision making under uncertainty over time, has been very active in recent years and deserves to be more widely known. This is the first book devoted to the full scale of applications of stochastic programming and also the first to provide access to publicly available algorithmic systems. The 32 contributed papers in this volume are written by leading stochastic programming specialists and reflect the high level of activity in recent years in research on algorithms and applications. The book introduces the power of stochastic programming to a wider audience and demonstrates the application areas where this approach is superior to other modeling approaches. Applications of Stochastic Programming consists of two parts. The first part presents papers describing publicly available stochastic programming systems that are currently operational. All the codes have been extensively tested and developed and will appeal to researchers and developers who want to make models without extensive programming and other implementation costs. The codes are a synopsis of the best systems available, with the requirement that they be user-friendly, ready to go, and publicly available. The second part of the book is a diverse collection of application papers in areas such as production, supply chain and scheduling, gaming, environmental and pollution control, financial modeling, telecommunications, and electricity. It contains the most complete collection of real applications using stochastic programming available in the literature. The papers show how leading researchers choose to treat randomness when making planning models, with an emphasis on modeling, data, and solution approaches. Contents Preface: Part I: Stochastic Programming Codes; Chapter 1: Stochastic Programming Computer Implementations, Horand I. Gassmann, SteinW.Wallace, and William T. Ziemba; Chapter 2: The SMPS Format for Stochastic Linear Programs, Horand I. Gassmann; Chapter 3: The IBM Stochastic Programming System, Alan J. King, Stephen E.Wright, Gyana R. Parija, and Robert Entriken; Chapter 4: SQG: Software for Solving Stochastic Programming Problems with Stochastic Quasi-Gradient Methods, Alexei A. Gaivoronski; Chapter 5: Computational Grids for Stochastic Programming, Jeff Linderoth and Stephen J.Wright; Chapter 6: Building and Solving Stochastic Linear Programming Models with SLP-IOR, Peter Kall and János Mayer; Chapter 7: Stochastic Programming from Modeling Languages, Emmanuel Fragnière and Jacek Gondzio; Chapter 8: A Stochastic Programming Integrated Environment (SPInE), P. Valente, G. Mitra, and C. A. Poojari; Chapter 9: Stochastic Modelling and Optimization Using Stochastics™ , M. A. H. ! Dempster, J. E. Scott, and G.W. P. Thompson; Chapter 10: An Integrated Modelling Environment for Stochastic Programming, Horand I. Gassmann and David M. Gay; Part II: Stochastic Programming Applications; Chapter 11: Introduction to Stochastic Programming Applications Horand I. Gassmann, Sandra L. Schwartz, SteinW.Wallace, and William T. Ziemba Chapter 12: Fleet Management, Warren B. Powell and Huseyin Topaloglu; Chapter 13: Modeling Production Planning and Scheduling under Uncertainty, A. Alonso-Ayuso, L. F. Escudero, and M. T. Ortuño; Chapter 14: A Supply Chain Optimization Model for the Norwegian Meat Cooperative, A. Tomasgard and E. Høeg; Chapter 15: Melt Control: Charge Optimization via Stochastic Programming, Jitka Dupaˇcová and Pavel Popela; Chapter 16: A Stochastic Programming Model for Network Resource Utilization in the Presence of Multiclass Demand Uncertainty, Julia L. Higle and Suvrajeet Sen; Chapter 17: Stochastic Optimization and Yacht Racing, A. B. Philpott; Chapter 18: Stochastic Approximation, Momentum, and Nash Play, H. Berglann and S. D. Flåm; Chapter 19: Stochastic Optimization for Lake Eutrophication Management, Alan J. King, László Somlyódy, and Roger J

Book Description
This is the first book devoted to the full scale of applications of stochastic programming and also the first to provide access to publicly available algorithmic systems. The 32 contributed papers are written by leading stochastic programming specialists and reflect recent advanced research on algorithms and applications.

See all Editorial Reviews

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The Art of Computer Programming, Volume 4, Fascicle 2: Generating All Tuples and Permutations



Book Description:

According to Webster’s Dictionary, a fascicle is “one of the division of a bookpublished in parts.”This material represents a first look at material from the long-anticipated andmuch-discussed Volume 4 of Donald Knuth’s The Art of ComputerProgramming.Knuth’s fascicle philosophy is as follows: “The material will first appear in betatestform as fascicles of approximately 128 pages each, issued approximatelytwice per year. These fascicles will represent my best attempt to write acomprehensive account, but computer science has grown to the point where Icannot hope to be an authority on all the material covered in these books.Therefore I’ll need feedback from readers in order to prepare the officialvolumes later.”

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Algorithmics: The Spirit of Computing



David Harel, Yishai Feldman, “Algorithmics: The Spirit of Computing”
Addison Wesley,3rd Ed 2004 | ISBN: 0321117840 | 536 pages | PDF | 5,6 MB

This book presents the concepts, methods, and results that are fundamental to the science of computing. The book begins with the basic ideas of algorithms such as the structure and the methods of data manipulation, and then moves on to demonstrate how to design an accurate and efficient algorithm. Inherent limitations to algorithmic design are also discussed throughout the second part of the text. The third edition features an introduction to the object-oriented paradigm along with new approaches to computation. Anyone interested in being introduced to the theory of computer science.

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Practical Algorithms in C++



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Practical Algorithms in C++
By Bryan Flamig


  • Publisher: John Wiley & Sons
  • Number Of Pages: 464
  • Publication Date: 1995-02-16
  • ISBN-10 / ASIN: 0471009555
  • ISBN-13 / EAN: 9780471009559
  • Binding: Paperback

Book Description:

A practical guide to implementing algorithms in C++.

Have you been looking for a C++ book that not only talks about some of the most popular algorithms of today, but also implements them? Then look no further. This book presents algorithms from a practical point of view, clearly explaining how the algorithms work, as well as fully implementing them in C++. Written to the intermediate C++ programmer, this book covers a wide range of subjects, from sorting and searching algorithms, to graph traversal algorithms, hashing algorithms, priority queues, finite state machines, and “algorithmic generators,” a unique, object-oriented way of implementing algorithms.

Includes theory and practice, with emphasis on practice.

  • Builds from the basics to the most advanced techniques.
  • Backs each algorithm with full source code provided on disk-no misleading code fragments.
  • Includes high quality code, written specifically for C++, and not simply ported from some other language.
  • All code fully tested in Borland and Microsoft versions of C++.

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Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching (3rd Edition) (Pts. 1-4)



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Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching (3rd Edition) (Pts. 1-4)
By Robert Sedgewick

  • Publisher: Addison-Wesley Professional
  • Number Of Pages: 752
  • Publication Date: 1998-07-23
  • ISBN-10 / ASIN: 0201350882
  • ISBN-13 / EAN: 9780201350883

Product Description:

Robert Sedgewick has thoroughly rewritten and substantially expanded andupdated his popular work to provide current and comprehensive coverage ofimportant algorithms and data structures. Christopher Van Wyk and Sedgewickhave developed new C++ implementations that both express the methods in aconcise and direct manner, and also provide programmers with the practicalmeans to test them on real applications. Many new algorithms are presented, and the explanations of each algorithmare much more detailed than in previous editions. A new text design anddetailed, innovative figures, with accompanying commentary, greatly enhancethe presentation. The third edition retains the successful blend of theory andpractice that has made Sedgewick’s work an invaluable resource for more than250,000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick’scomplete work. It provides extensive coverage of fundamental data structuresand algorithms for sorting, searching, and related applications. Although thesubstance of the book applies to programming in any language, theimplementations by Van Wyk and Sedgewick also exploit the natural matchbetween C++ classes and ADT implementations. Highlights

Expanded coverage of arrays, linked lists, strings, trees, and other basic

data structures Greater emphasis on abstract data types (ADTs), modular programming, object-oriented programming, and C++ classes than in previous editions

Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations

New implementations of binomial queues, multiway radix sorting, randomized BSTs, splay trees, skip lists, multiway tries, B trees, extendible hashing, and much more Increased quantitative information about the algorithms, giving you a

basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are learning the algorithms for the first time or wish to have up-to-date reference material that incorporates new programming styles with classic and new algorithms, you will find a wealth of useful information in this book.

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Randomized Algorithms (Cambridge International Series on Parallel Computation)

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Randomized Algorithms
By Rajeev Motwani, Prabhakar Raghavan

  • Publisher: Cambridge University Press
  • Number Of Pages: 492
  • Publication Date: 1995-08-25
  • ISBN-10 / ASIN: 0521474655
  • ISBN-13 / EAN: 9780521474658

Product Description:

For many applications, a randomized algorithm is either the simplest or the fastest algorithm available, and sometimes both. This book introduces the basic concepts in the design and analysis of randomized algorithms. The first part of the text presents basic tools such as probability theory and probabilistic analysis that are frequently used in algorithmic applications. Algorithmic examples are also given to illustrate the use of each tool in a concrete setting. In the second part of the book, each chapter focuses on an important area to which randomized algorithms can be applied, providing a comprehensive and representative selection of the algorithms that might be used in each of these areas. Although written primarily as a text for advanced undergraduates and graduate students, this book should also prove invaluable as a reference for professionals and researchers.

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Kurt Mehlhorn, Peter Sanders, "Algorithms and Data Structures: The Basic Toolbox"

Kurt Mehlhorn, Peter Sanders, “Algorithms and Data Structures: The Basic Toolbox”
Springer 2008 | ISBN: 3540779779 | 300 pages | PDF | 2,4 MB

Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems.
This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, and optimization. The algorithms are presented in a modern way, with explicitly formulated invariants, and comment on recent trends such as algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms. The authors use pictures, words and high-level pseudocode to explain the algorithms, and then they present more detail on efficient implementations using real programming languages like C++ and Java.
The authors have extensive experience teaching these subjects to undergraduates and graduates, and they offer a clear presentation, with examples, pictures, informal explanations, exercises, and some linkage to the real world. Most chapters have the same basic structure: a motivation for the problem, comments on the most important applications, and then simple solutions presented as informally as possible and as formally as necessary. For the more advanced issues, this approach leads to a more mathematical treatment, including some theorems and proofs. Finally, each chapter concludes with a section on further findings, providing views on the state of research, generalizations and advanced solutions.

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Speech Coding Algorithms: Foundation and Evolution of Standardized Coders



Wai C. Chu, “Speech Coding Algorithms: Foundation and Evolution of Standardized Coders”
Wiley-Interscience | 2003 | ISBN: 0471373125 | 592 pages | PDF | 3,2 MB

Review
“…well equipped with exercises and with procedures which are helpful in implementing the coders…” (Zentralblatt Math, Vol.1041, No.16, 2004)

Description
* Speech coding is a highly mature branch of signal processing deployed in products such as cellular phones, communication devices, and more recently, voice over internet protocol
* This book collects many of the techniques used in speech coding and presents them in an accessible fashion
* Emphasizes the foundation and evolution of standardized speech coders, covering standards from 1984 to the present
* The theory behind the applications is thoroughly analyzed and proved

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Art of Computer Programming, Volume 1: Fundamental Algorithms



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Art of Computer Programming, Volume 1: Fundamental Algorithms (3rd Edition)
ISBN: 0201896834
Author: Donald E. Knuth
Publisher: Addison-Wesley Professional
Edition: 3 edition (July 7, 1997)
Hardcover: 672 pages
URL: /http://www.amazon.com/exec/obidos/redirect?tag=songstech-20&path=ASIN%2F0201896834
Summary:
This magnificent tour de force presents a comprehensive overview of a wide variety of algorithms and the analysis of them. Now in its third edition, The Art of Computer Programming, Volume I: Fundamental Algorithms contains substantial revisions by the author and includes numerous new exercises.
Although this book was conceived several decades ago, it is still a timeless classic. One of the book’s greatest strengths is the wonderful collection of problems that accompany each chapter. The author has chosen problems carefully and indexed them according to difficulty. Solving a substantial number of these problems will help you gain a solid understanding of the issues surrounding the given topic. Furthermore, the exercises feature a variety of classic problems.
Fundamental Algorithms begins with mathematical preliminaries. The first section offers a good grounding in a variety of useful mathematical tools: proof techniques, combinatorics, and elementary number theory. Knuth then details the MIX processor, a virtual machine architecture that serves as the programming target for subsequent discussions. This wonderful section comprehensively covers the principles of simple machine architecture, beginning with a register-level discussion of the instruction set. A later discussion of a simulator for this machine includes an excellent description of the principles underlying the implementation of subroutines and co-routines. Implementing such a simulator is an excellent introduction to computer design.
In the second section, Knuth covers data structures–stacks, queues, lists, arrays, and trees–and presents implementations (in MIX assembly) along with techniques for manipulating these structures. Knuth follows many of the algorithms with careful time and space analysis. In the section on tree structures, the discussion includes a series of interesting problems concerning the combinatorics of trees (counting distinct trees of a particular form, for example) and some particularly interesting applications. Also featured is a discussion of Huffmann encoding and, in the section on lists, an excellent introduction to garbage collection algorithms and the difficult challenges associated with such a task. The book closes with a discussion of dynamic allocation algorithms.
The clear writing in Fundamental Algorithms is enhanced by Knuth’s dry humor and the historical discussions that accompany the technical matter. Overall, this text is one of the great classics of computer programming literature–it’s not an easy book to grasp, but one that any true programmer will study with pleasure.

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Algorithms on Strings



Maxime Crochemore, Christophe Hancart, Thierry Lecroq, “Algorithms on Strings”
Cambridge University Press | 2007 | ISBN: 0521848997 | 392 pages | PDF | 2 MB

This text and reference on string processes and pattern matching presents examples related to the automatic processing of natural language, to the analysis of molecular sequences and to the management of textual databases. Algorithms are described in a C-like language, with correctness proofs and complexity analysis, to make them ready to implement. The book will be an important resource for students and researchers in theoretical computer science, computational linguistics, computational biology, and software engineering.

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Algorithms for Visual Design Using the Processing Language



Algorithms for Visual Design Using the Processing Language
384 pages | Wiley (May 11, 2009) | ISBN-10: 0470375485 | PDF | 7 Mb

As the first book to share the necessary algorithms for creating code to experiment with design problems in the processing language, this book offers a series of generic procedures that can function as building blocks and encourages you to then use those building blocks to experiment, explore, and channel your thoughts, ideas, and principles into potential solutions. The book covers such topics as structured shapes, solid geometry, networking and databases, physical computing, image processing, graphic user interfaces, and more.

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Algorithms for Visual Design Using the Processing Language



Algorithms for Visual Design Using the Processing Language
384 pages | Wiley (May 11, 2009) | ISBN-10: 0470375485 | PDF | 7 Mb

As the first book to share the necessary algorithms for creating code to experiment with design problems in the processing language, this book offers a series of generic procedures that can function as building blocks and encourages you to then use those building blocks to experiment, explore, and channel your thoughts, ideas, and principles into potential solutions. The book covers such topics as structured shapes, solid geometry, networking and databases, physical computing, image processing, graphic user interfaces, and more.

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Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching



Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching

Robert Sedgewick, «Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching»
Addison Wesley | ISBN: 9780201350883, 0201350882 | 1998 | CHM | 752 pages | 5.84 MB


This particular book, Parts 1n4, represents the essential first half of Sedgewick’s complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. Although the substance of the book applies to programming in any language, the implementations by Van Wyk and Sedgewick also exploit the natural match between C++ classes and ADT implementations.

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Algorithmic Number Theory: 6th International Symposium ANTS-VI, Burlington, VT, USA, June 13-18, 2004, Proceedings



Algorithmic Number Theory: 6th International Symposium ANTS-VI, Burlington, VT, USA, June 13-18, 2004, Proceedings

Algorithmic Number Theory: 6th International Symposium ANTS-VI, Burlington, VT, USA, June 13-18, 2004, Proceedings

Product Description

This book constitutes the refereed proceedings of the 6th International Algorithmic Number Theory Symposium, ANTS 2004, held in Burlington, VT, USA, in June 2004.

The 30 revised full papers presented together with 3 invited papers were carefully reviewed and selected for inclusion in the book. Among the topics addressed are zeta functions, elliptic curves, hyperelliptic curves, GCD algorithms, number field computations, complexity, primality testing, Weil and Tate pairings, cryptographic algorithms, function field sieve, algebraic function field mapping, quartic fields, cubic number fields, lattices, discrete logarithms, and public key cryptosystems.

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Genetic Algorithms for Applied CAD Problems



Viktor M. Kureichik, Sergey P. Malioukov, “Genetic Algorithms for Applied CAD Problems”
Springer | 2009 | ISBN: 3540852808 | 320 pages | PDF | 2,5 MB

New perspective technologies of genetic search and evolution simulation represent the kernel of this book. The authors wanted to show how these technologies are used for practical problems solution. This monograph is devoted to specialists of CAD, intellectual information technologies in science, biology, economics, sociology and others. It may be used by post-graduate students and students of specialties connected to the systems theory and system analysis methods, information science, optimization methods, operations investigation and solution-making.

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Statistical Learning Theory and Stochastic Optimization: Ecole d’Ete de Probabilites de Saint-Flour XXXI – 2001



3540225722

Statistical Learning Theory and Stochastic Optimization: Ecole d’Ete de Probabilites de Saint-Flour XXXI – 2001 (Lecture Notes in Mathematics): Olivier Catoni
Springer | ISBN: 3540225722 | 2004-10-15 | PDF (OCR) | 273 pages | 2.34 Mb

Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an audience with a graduate background in probability theory and statistics. It will be useful to any reader wondering why it may be a good idea, to use asis often done in practice a

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Data Structures in Java: A Laboratory Course




A lab manual that walks computer science students through the implementation of data structures and the application of algorithms. It assumes students have a background in C, C++, or Java. The text introduces the use of classes to implement a simple ADT and also covers more complex Java language features (e.g., abstract window toolkit, cloning, inh

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Localization Algorithms and Strategies for Wireless Sensor Networks



Localization Algorithms and Strategies for Wireless Sensor Networks Localization Algorithms and Strategies for Wireless Sensor Networks

Product Description
Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.

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Information Modelling and Knowledge Bases XV



Information Modelling and Knowledge Bases XV

Yasushi Kiyoki, Eiji Kawaguchi, Hannu Jaakkola, Hannu Kangassalo, «Information Modelling and Knowledge Bases XV»
IOS Press | ISBN: 1586033964 | 2004 | PDF | 333 pages | 19.86 MB“

This book provides research communities in Europe and Japan with an overview of scientific results and experiences achieved using innovative methods and approaches in computer science and other disciplines, which have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice. The topics of research covered in this book mainly concentrate on a variety of themes in the domain of theory and practice of information modelling, conceptual modelling, design and specification of information systems, software engineering, databases and knowledge bases. We also aim to recognize and study new areas of modelling and knowledge bases to which more attention should be paid. Therefore philosophy and logic, cognitive science, knowledge management, linguistics and management science are relevant areas, too.

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Fundamentals of Neural Networks: Architectures, Algorithms And Applications



Fundamentals of Neural Networks: Architectures, Algorithms And Applications (Pie) by Laurene V. Fausett
Publisher: Prentice Hall | Number Of Pages: 461 | Publication Date: 1993-12-19 | ISBN-10: 0133341860 | PDF | 21 Mb

Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

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Problems on Algorithms



Ian Parberry, “Problems on Algorithms”
Prentice Hall | 1995 | English | ISBN: 0134335589 | PDF | 192 pages | 1,9 MB

With approximately 600 problems and 35 worked examples, this supplement provides a collection of practical problems on the design, analysis and verification of algorithms. The book focuses on the important areas of algorithm design and analysis: background material; algorithm design techniques; advanced data structures and NP-completeness; and miscellaneous problems. Algorithms are expressed in Pascal-like pseudocode supported by figures, diagrams, hints, solutions, and comments.

From the Publisher
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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The Design and Analysis of Algorithms



Dexter C. Kozen, “The Design and Analysis of Algorithms”
Springer | 1991 | ISBN: 0387976876 | 320 pages | Djvu | 1,6 MB

The design and analysis of algorithms is one of the two essential cornerstone topics in computer science (the other being automata theory/theory of computation). Every computer scientist has a copy of Knuth’s works on algorithms on his or her shelf. Dexter Kozen, a researcher and professor at Cornell University, has written a text for graduate study of algorithms. This will be an important reference book as well as being a useful graduate-level textbook.

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An Introduction to Logic Programming Through Prolog




An Introduction to Logic Programming Through Prolog
Publisher: Prentice Hall | ISBN: 0135360471 | edition 2008 | PDF | 258 pages | 11,8 mb

Using theory as a foundation for practical programming, this text presents the theory of logic programming with clear proofs, extended examples, and implementation techniques. It covers logical theory, practical programming, and the structure of a simple Prolog implementation.

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Global Optimization Algorithms Theory and Application



http://ecx.images-amazon.com/images/I/41G750FFSJL._BO2,204,203,200_PIsitb-sticker-arrow-click,TopRight,35,-76_AA240_SH20_OU01_.jpgGlobal Optimization Algorithms Theory and Application

This book is about global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on evolutionary computation by discussing evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, differential evolution, particle swarm optimization, and ant colony optimization. The book also elaborates on other meta-heuristics, such as simulated annealing, hill climbing, tabu search, and random optimization.


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Algorithmic Decision Theory

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Francesca Rossi, Alexis Tsoukias, “Algorithmic Decision Theory”
Springer 2009 | ISBN-10: 3642044271 | 460 Pages | PDF | 6,6 MB

Algorithmic Decision Theory is a new interdisciplinary research area that aims to put together researchers coming from different fields such as Decision Theory, Discrete Mathematics, Theoretical Computer Science and Artificial Intelligence, in order to improve decision support in the presence of massive data bases, combinatorial structures, partial and/or uncertain information and distributed, possibly interoperating decision makers. Such problems arise in several real-world decision making scenarios such as humanitarian logistics, epidemiology, risk assessment and management, e-government, electronic commerce, and recommender systems

This volume contains the papers presented at ADT 2009, the first International Conference on Algorithmic Decision Theory. The conference was held in San Servolo, a small island of the Venice lagoon, during October 20-23, 2009. The program of the conference included oral presentations, posters, invited talks, and tutorials.

The conference received 65 submissions of which 39 papers were accepted (9 papers were posters). The topics of these papers range from computational social choice to preference modeling, from uncertainty to preference learning, from multi-criteria decision making to game theory.

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Programming: The Derivation of Algorithms

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A. Kaldewaij, “Programming: The Derivation of Algorithms”
Prentice Hall | 1990 | ISBN: 0132041081 | 232 pages | PDF | 7,9 MB

An introductory textbook for students of computer science. The book looks at the art of changing efficient algorithms that meets their specifications and discusses the calculational style of programing.

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Universal Artificial Intelligence: Sequential Decisions Based On Algorithmic Probability

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Marcus Hutter, “Universal Artificial Intelligence: Sequential Decisions Based On Algorithmic Probability”
Springer; 1 edition (November 29, 2004) | English | 3540221395 | 280 pages | PDF | 16.65 MB

This book presents sequential decision theory from a novel algorithmic information theory perspective. While the former is suited for active agents in known environment, the latter is suited for passive prediction in unknown environment. The book introduces these two well-known but very different ideas and removes the limitations by unifying them to one parameter-free theory of an optimal reinforcement learning agent embedded in an arbitrary unknown environment. Most AI problems can easily be formulated within this theory, which reduces the conceptual problems to pure computational problems. Considered problem classes include sequence prediction, strategic games, function minimization, reinforcement and supervised learning. The discussion includes formal definitions of intelligence order relations, the horizon problem and relations to other approaches to AI. One intention of this book is to excite a broader AI audience about abstract algorithmic information theory concepts, and conversely to inform theorists about exciting applications to AI.

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Algorithmen und Problemlösungen mit C++: Von der Diskreten Mathematik zum fertigen Programm

Doina Logofatu, “Algorithmen und Problemlösungen mit C++: Von der Diskreten Mathematik zum fertigen Programm – Lern- und Arbeitsbuch für Informatiker und Mathematiker”
Vieweg+Teubner | 2009 | ISBN: 383480763X | 500 pages | PDF | 8,9 MB

Zahlen, Kombinatorik, Rekursivität, Graphen, Teile und Herrsche, Backtracking, Dynamische Programmierung, Greedy, Ebene Geometrie, Algorithmische Geometrie – 105 Problemstellungen analysiert und mit Hilfe C++ komplett gelöst – ca. 400 AufgabenDie zweite Auflage des erfolgreichen Buches wurde unter Berücksichtigung zahlreicher Leserstimmen überarbeitet und erweitert. Ergänzt wurden u. a. klassische Themen und Probleme wie Huffmann-Kodierung und Dijkstra-Algorithmus sowie ein einführendes Kapitel über die STL (Standard Template Library).
So lernen Sie Programmiermethoden wie auch algorithmische und mathematische Konzepte in Zusammenhang mit C++-spezifischen Elementen verstehen und beispielhaft anwenden. Doina Logofatu präsentiert sorgfältig ausgewählte Problemstellungen, die dem Leser den Übergang vom konkreten Praxisbeispiel zur allgemeinen Theorie erleichtern. Den Schwerpunkt bilden praktische Anwendungsbeispiele, die von der Analyse bis zum C++-Programm komplett behandelt werden.
Jedes Problem ist eine Fallstudie mit Beispielen, Analogien und detaillierten Erklärungen, ergänzt um entsprechend geeignete Übungen. Zu jedem gelösten Problem wird ein kom-plettes Listing des Programms zusammen mit einem repräsentativen Input- und Output-Datenset geliefert. “Algorithmen und Problemlösungen mit C++” empfiehlt sich sowohl als Lern- und Arbeitsbuch für das Selbststudium wie auch für die direkte Verwendung in der Lehre.

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Genetic Algorithms – Principles and Perspectives: A Guide to GA Theory

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Colin R. Reeves, Jonathan E. Rowe, “Genetic Algorithms – Principles and Perspectives: A Guide to GA Theory (Operations Research/Computer Science Interfaces Series)”
Springer; 1 edition (December 31, 2002) | English | 1402072406 | 344 pages | PDF | 5.40 MB

Genetic Algorithms (GAs) have become a highly effective tool for solving hard optimization problems. As their popularity has increased, the number of GA applications has grown in more than equal measure. Genetic Algorithm theory, however, has not kept pace with the growing use and application of GAs. Most book-length treatments of GAs provide only a cursory discussion of theory and this discussion primarily focuses on the traditional view, which depends heavily on the concept of a “schema”.
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, “No Free Lunch”, GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.
The authors have worked hard to make the book as accessible as possible for students and researchers. An undergraduate-level mathematical understanding of linear algebra and stochastic processes is assumed. For those readers who have not encountered GAs before, a comprehensive survey of GA concepts is provided and the variety of ways in which GAs can be implemented is outlined. Exercises are provided at the ends of the chapters with the express purpose of aiding understanding of the concepts discussed and to whet the reader’s appetite for pursuing theoretical research in GAs.

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