foundations of algorithms

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Foundations Of Algorithms

Author : Richard Neapolitan
ISBN : 9781449600167
Genre : Computers
File Size : 81. 16 MB
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Foundations of Algorithms, Fourth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. The volume is accessible to mainstream computer science students who have a background in college algebra and discrete structures. To support their approach, the authors present mathematical concepts using standard English and a simpler notation than is found in most texts. A review of essential mathematical concepts is presented in three appendices. The authors also reinforce the explanations with numerous concrete examples to help students grasp theoretical concepts.

Foundations Of Algorithms Using Java Pseudocode

Author : Richard E. Neapolitan
ISBN : 0763721298
Genre : Computers
File Size : 85. 75 MB
Format : PDF
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Foundations of Algorithms Using Java Pseudocode 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. To support their approach, the authors present mathematical concepts using standard English and a simpler notation than is found in most texts. A review of essential mathematical concepts is presented in three appendices. In addition, they reinforce the explanations with numerous concrete examples to help students grasp theoretical concepts.

Foundations Of Algorithms Using C Pseudocode

Author : Richard E. Neapolitan
ISBN : 0763723878
Genre : Computers
File Size : 67. 80 MB
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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.

Boosting

Author : Robert E. Schapire
ISBN : 9780262017183
Genre : Computers
File Size : 39. 93 MB
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Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.

Foundations Of Algorithms

Author : Richard E. Neapolitan
ISBN : UOM:49015002660224
Genre : Computers
File Size : 29. 26 MB
Format : PDF, ePub, Docs
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Foundations of Algorithms Using C++ Pseudocode offers a well-balanced presentation on designing algorithms, complexity analysis of algorithms, & computational complexity that is accessible to mainstream computer science students who have a background in college algebra & discrete structures. To support their approach, the authors present mathematical concepts using Standard English & a simpler notation than is found in most texts. A review of essential mathematical concepts is presented in three appendices. In addition, they reinforce the explanations with numerous concrete examples to help students grasp theoretical concepts.

Ensemble Methods

Author : Zhi-Hua Zhou
ISBN : 9781439830031
Genre : Business & Economics
File Size : 67. 61 MB
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An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.

A Mathematical Theory Of Design Foundations Algorithms And Applications

Author : D. Braha
ISBN : 9781475728729
Genre : Technology & Engineering
File Size : 80. 15 MB
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Formal Design Theory (PDT) is a mathematical theory of design. The main goal of PDT is to develop a domain independent core model of the design process. The book focuses the reader's attention on the process by which ideas originate and are developed into workable products. In developing PDT, we have been striving toward what has been expressed by the distinguished scholar Simon (1969): that "the science of design is possible and some day we will be able to talk in terms of well-established theories and practices. " The book is divided into five interrelated parts. The conceptual approach is presented first (Part I); followed by the theoretical foundations of PDT (Part II), and from which the algorithmic and pragmatic implications are deduced (Part III). Finally, detailed case-studies illustrate the theory and the methods of the design process (Part IV), and additional practical considerations are evaluated (Part V). The generic nature of the concepts, theory and methods are validated by examples from a variety of disciplines. FDT explores issues such as: algebraic representation of design artifacts, idealized design process cycle, and computational analysis and measurement of design process complexity and quality. FDT's axioms convey the assumptions of the theory about the nature of artifacts, and potential modifications of the artifacts in achieving desired goals or functionality. By being able to state these axioms explicitly, it is possible to derive theorems and corollaries, as well as to develop specific analytical and constructive methodologies.

Robot Path Planning And Cooperation

Author : Anis Koubaa
ISBN : 9783319770420
Genre : Computers
File Size : 87. 30 MB
Format : PDF
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This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS). The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots.

Haptic Rendering

Author : Ming C. Lin
ISBN : 9781439865149
Genre : Computers
File Size : 82. 47 MB
Format : PDF
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For a long time, human beings have dreamed of a virtual world where it is possible to interact with synthetic entities as if they were real. It has been shown that the ability to touch virtual objects increases the sense of presence in virtual environments. This book provides an authoritative overview of state-of-theart haptic rendering algorithms and their applications. The authors examine various approaches and techniques for designing touch-enabled interfaces for a number of applications, including medical training, model design, and maintainability analysis for virtual prototyping, scientific visualization, and creative processes.

Foundations Of Genetic Algorithms

Author : Colin R. Reeves
ISBN : 1558605592
Genre : Genetic algorithms
File Size : 55. 99 MB
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Consists of conference papers from the Foundations of Genetic Algorithms workshop.

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