This book presents innovative parallel randomized algorithms for addition and identification problems in shared memory models. The author presents these new techniques in the context of recent developments in the field of parallel computation, specifically addressing the need for algorithms that can adapt to dynamic properties of input data. The author provides a comprehensive analysis of previous approaches and offers novel solutions that improve upon existing lower bounds. This book not only advances the theoretical foundations of parallel computing but also offers practical insights for algorithm designers seeking to optimize their code for real-world applications. Its unique blend of theoretical rigor and practical relevance makes it an invaluable resource for researchers and practitioners alike.
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Excerpt from Input Sensitive, Optimal Parallel Randomized Algorithms for Addition and Identification
All our results satisfy the following If T is the actual parallel time of our algorithm and e(t) is its expected value, then Prob {t3>k. E where k 1 is any constant and ci>l grows linearly with k and can be control led by the algorithm designer.
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. LX-9781334016400
Anzahl: 15 verfügbar