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In computer science, a search algorithm, is an algorithm for finding an item with specified properties among a collection of items. The;
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Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large;
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This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that;
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computer science exercises. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten;
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Quantum computing is an exciting new area between computer science and quantum physics. The computation is based on quantum mechanics;
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This textbook thoroughly outlines combinatorial algorithms for generation, enumeration, and search. Topics include backtracking and;
Vergelijkbare producten zoals Combinatorial Algorithms
This textbook thoroughly outlines combinatorial algorithms for generation, enumeration, and search. Topics include backtracking and;
Vergelijkbare producten zoals Combinatorial Algorithms
Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list;
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This is a book of real stories about the search for genomic spelling errors that have stark consequences. The search in each case proves to;
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Implement practical data structures and algorithms for text search and discover how it is used inside other larger applications. This;
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Implement practical data structures and algorithms for text search and discover how it is used inside other larger applications. This;
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This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Advances in Computer;
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This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become;
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algorithms are: the sum of three or n numbers in a loop, decimal-to-binary conversion, maximum and minimum search, linear/sequential search, binary;
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computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer;
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Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult;
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In the past two decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, availability;
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For a long time computer scientists have distinguished between fast and slow algo rithms. Fast (or good) algorithms are the algorithms that;
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optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as;
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, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling;
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A computer algorithm is a set of instructions for performing calculation, data processing or automated reasoning. An initial state and;
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annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid;
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Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and;
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Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough;
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Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning;
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investigation of numerous hardware-based solutions for pattern matching, and an examination of hardware approaches for full text search.;
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of NP-complete problems; approximation algorithms, local search heuristics for NP-complete problems, more. All chapters are supplemented by;
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