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Input Sensitive, Optimal Parallel Randomized Algorithms for Addition and Identification (Classic Reprint) - Tapa blanda
Sinopsis
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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Input Sensitive, Optimal Parallel Randomized Algorithms for Addition and Identification Classic Reprint
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LX-9781334016400
Cantidad disponible: 15 disponibles
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Input Sensitive, Optimal Parallel Randomized Algorithms for Addition and Identification Classic Reprint
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LX-9781334016400
Cantidad disponible: 15 disponibles
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Input Sensitive (Classic Reprint)
Impresión bajo demandaLibrería: Forgotten Books, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. Print on Demand. 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. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Nº de ref. del artículo: 9781334016400_0
Cantidad disponible: Más de 20 disponibles