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For many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents;
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always been critical issues. The book Randomized Algorithms in Automatic Control and Data Mining introduces the readers to the fundamentals;
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and design of uncertain systems. Using so-called randomized algorithms, this emerging area of research guarantees a reduction in the;
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proposes several new randomized position-based algorithms for routing in mobile ad-hoc networks. The proposed algorithms incorporate two heuristics;
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Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern;
Vergelijkbare producten zoals Concentration of Measure for the Analysis of Randomized Algorithms
Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern;
Vergelijkbare producten zoals Concentration of Measure for the Analysis of Randomized Algorithms
Randomized search heuristics such as evolutionary algorithms, genetic algorithms, evolution strategies, ant colony and particle swarm;
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, parallel branch-and-bound search under limited-memory constraints, parallelization of greedy randomized adaptive search procedures, parallel;
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, approximation algorithms, and randomized algorithms.;
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in randomized logarithmic time. Also, Linial showed that an O(?2)-coloring can be solved very efficiently deterministically. However, fundamental;
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in randomized logarithmic time. Also, Linial showed that an O(?2)-coloring can be solved very efficiently deterministically. However, fundamental;
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for a certain scheduling problem. In a related matter, we classify monotone algorithms for the deterministic, randomized and online case and;
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textbooks are discussed. Randomized algorithms, which are now ubiquitous because of their applications to cryptography; and Online algorithms, which;
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, termination detection, randomized algorithms for anonymous networks, snapshots, deadlock detection, synchronous systems), and fault-tolerance;
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-deterministic, logical, randomized algorithms, etc. This book provides comprehensive insights into computer algorithms. It attempts to understand the;
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randomized methods; logic, algebra and automata; database and data structures; parameterized complexity and algorithms; computational complexity;
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fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized;
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fundamental concepts and recent progresses on machine learning algorithms, especially on those based on stochastic optimization methods, randomized;
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randomized algorithm. Data structures are discussed to the extent needed for the implementation of the algorithms. The specific algorithms examined;
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Oncology. Dr. Sigurdson has assembled expert authors to review the following topics: Commentary on Randomized Controlled Trials; Randomized;
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to different areas in theoretical computer science, including, but not limited to: algorithms (approximation, online, randomized, algorithmic;
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topological sort, shortest path problem, and Prim's algorithm * Understand dynamic programming (Knapsack) and randomized algorithms In Detail;
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Algebra, and the foundations of Computation.The coverage of Randomized and Online algorithms is timely: the former have become ubiquitous due to;
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randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on;
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of randomized algorithms with important applications in optimization and other problems in computing. Amongst the algorithms covered are the Markov;
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computing, and randomized algorithms. The algorithms could be sequential, distributed, or parallel. Submissions were especially encouraged in the;
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probabilistic algorithms are examined on how they are influenced by random numbers that are not independent and uniformly distributed: A randomized;
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