Introduction Algorithms (Over 2,100 results)

Language: English
Published by Springer London Ltd, 2014
Series: Book 35 of 99 - Undergraduate Topics in Computer Science
- Softcover
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Paperback. Condition: Good. This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.…

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Paperback. Condition: Fair. Drawing upon combined decades of teaching experience, Professors Sara Baase and Allen Van Gelder have extensively revised this best seller to make it the most current and accessible choice for any algorithms course. The new Third Edition features the addition of new topics and exercises and an increased emphasis on algorithm design techniques such as divide-and-conquer and greedy algorithms. It continues the tradition of solid mathematical analysis and clear writing style that made it so popular in previous editions.…

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Computer Algorithms: Introduction to Design and Analysis (Addison-Wesley Series in Computer Science)
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Computer Algorithms: Introduction to Design and Analysis (Addison-Wesley Series in Computer Science)
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Hardback. Condition: Good. Data structures and algorithms are presented at the college level in a way that is unique in content and presentation from current available texts. A highly accessible format presents algorithms with one page displays that will appeal to both students and teachers of computer science. The thirteen chapters systematically and comprehensively cover Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Discrete Fourier Transform, Strings, Graphs, Parallel Computation.…

Language: English
Published by Springer, 2014
Series: Book 35 of 99 - Undergraduate Topics in Computer Science
- Softcover
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Paperback. Condition: Very Good. This is an innovative new book designed to teach algorithmic approaches to solving engineering problems. De-emphasizing syntax, the author focuses on structured approaches to implementing solutions using a subset of the C++ language. It focuses on developing common algorithmic patterns and how to use them to solve complex problems. Engineering applications requiring use of algebra, calculus, and physics are also included in this book.…

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Computer Algorithms: Introduction to Design and Analysis (Addison-Wesley Series in Computer Science)
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Paperback. Condition: Fair. This second edition offers an unusually thorough and readable look at the design and analysis of algorithms, including an exhaustive array of algorithms and their complexity analyses.Baase emphasizes the development of algorithms through a step-by-step process, rather than merely presenting the end result. Three chapters on modern topics are new to this edition: adversary arguments and selection, dynamic programming, and parallel algorithms. 0201060353B04062001.…

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Hardback. Condition: Fair. Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues.The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting general purpose nature of genetic algorithms as search methods that can be employed across disciplines.An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.…

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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: Second ] Publisher: Cram101 Inc. Pub Date: 1/1/2010 Binding: Paperback Pages: 230 Second edition.

Language: English
Published by Springer London Ltd, 2014
Series: Book 35 of 99 - Undergraduate Topics in Computer Science
- Softcover
Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
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Paperback. Condition: Good. This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.…

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Paperback. Condition: Good. Prepares students for the world of computing by giving them a solid foundation in the science of computer science, algorithms. By working with algorithms from the start, students will understand the power of computers as problem solving tools and learn to think like programmers.…

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Paperback. Condition: Fair. Drawing upon combined decades of teaching experience, Professors Sara Baase and Allen Van Gelder have extensively revised this best seller to make it the most current and accessible choice for any algorithms course. The new Third Edition features the addition of new topics and exercises and an increased emphasis on algorithm design techniques such as divide-and-conquer and greedy algorithms. It continues the tradition of solid mathematical analysis and clear writing style that made it so popular in previous editions.…

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Computer Algorithms: Introduction to Design and Analysis (Addison-Wesley Series in Computer Science)
- Softcover
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