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scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalls of a world governed;
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Robert Sedgewick, along with Donald Knuth, is one of the very few people with a world-wide reputation for their contributions to the field;
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these problems, and create new algorithms for your own use. Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common;
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Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and;
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exotic new language or framework to get started; you can learn about genetic algorithms in a language you're already familiar with. Join us for;
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This book prepares students for the world of computing by giving them a solid foundation in the science of computer science - algorithms;
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scarce; proposes a number of new distributed algorithms in each chapter, to serve as potential starting points for further research; concludes;
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providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory;
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conditions. What's New in This Edition Updates in every chapter A new chapter on objective speech intelligibility measures A new chapter;
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conditions. What's New in This Edition Updates in every chapter A new chapter on objective speech intelligibility measures A new chapter;
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Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real--world search and optimization;
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and analysis of key algorithms Includes case studies for real-world applicationsContains a balance of theory and;
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Techniques for Designing and Analyzing Algorithms Design and analysis of algorithms can be a difficult subject for students due to its;
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Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic;
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existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a;
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existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a;
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robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and;
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- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;
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- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;
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real world applications. This makes it hard for researchers and students to share their ideas with other colleagues; follow up the works from;
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provides a general framework for systematically developing iterative algorithms for digital receivers, and highlights connections between important;
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usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for;
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usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for;
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no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world;
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A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine;
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aren't a calculus wunderkind; you'll need only the algebra you picked up in math class. * Use cases for different AI algorithms;
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manipulation of signals. This book will demonstrate the implementation of signal processing algorithms on a new technology called FPOA (Field;
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