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

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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

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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

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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

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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

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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

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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)

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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]

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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”

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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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