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Author : J. J. Dongarra
Release : 1992
Genre : Parallel processing (Electronic computers)
Kind : eBook
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Book Synopsis Parallel Processing Research in the Former Soviet Union by : J. J. Dongarra
Download or read book Parallel Processing Research in the Former Soviet Union written by J. J. Dongarra. This book was released on 1992. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Release : 1993
Genre : Climatic changes
Kind : eBook
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Book Synopsis Climate Research in the Former Soviet Union by :
Download or read book Climate Research in the Former Soviet Union written by . This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Release : 1992
Genre : Fracture mechanics
Kind : eBook
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Book Synopsis Penetration Mechanics Research in the Former Soviet Union by :
Download or read book Penetration Mechanics Research in the Former Soviet Union written by . This book was released on 1992. Available in PDF, EPUB and Kindle. Book excerpt: Recently published papers by scientists from the former Soviet Union reveal to Western researchers a mature body of highly inventive and dedicated research. To analyze and assess this work, a group of six internationally recognized US experts in the field of penetration mechanics and hypervelocity impact reviewed hundreds of unclassified documents. Five broad, sometimes overlapping, research areas were chosen for assessment: Hypervelocity Impact Capabilities; Penetration Mechanics Experiments at Ordnance Velocities; Analytical Penetration Mechanics; Material Response to High-Velocity Impact and Penetration; and Numerical Simulations of Penetration Physics. Both similarities and differences between Soviet and Western research were noted and characterized, with particular attention paid to potential breakthrough technologies. Leading Soviet scientists and their organizations were identified, as were areas of potentially fruitful collaboration between researchers from the former Soviet Union and the United States, Soviet breakthroughs in penetration mechanics technology that far out-distanced Western efforts were not found, though potential breakthroughs were noted in several areas, including penetration models of brittle materials (principally ceramics), superdeep penetration of particles, and very-high-velocity electromagnetic launchers.
Author :
Release : 1994
Genre : Aeronautics
Kind : eBook
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Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by . This book was released on 1994. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Panos M. Pardalos
Release : 2013-12-01
Genre : Computers
Kind : eBook
Book Rating : 826/5 ( reviews)
Book Synopsis Advances in Randomized Parallel Computing by : Panos M. Pardalos
Download or read book Advances in Randomized Parallel Computing written by Panos M. Pardalos. This book was released on 2013-12-01. Available in PDF, EPUB and Kindle. Book excerpt: The technique of randomization has been employed to solve numerous prob lems of computing both sequentially and in parallel. Examples of randomized algorithms that are asymptotically better than their deterministic counterparts in solving various fundamental problems abound. Randomized algorithms have the advantages of simplicity and better performance both in theory and often in practice. This book is a collection of articles written by renowned experts in the area of randomized parallel computing. A brief introduction to randomized algorithms In the aflalysis of algorithms, at least three different measures of performance can be used: the best case, the worst case, and the average case. Often, the average case run time of an algorithm is much smaller than the worst case. 2 For instance, the worst case run time of Hoare's quicksort is O(n ), whereas its average case run time is only O( n log n). The average case analysis is conducted with an assumption on the input space. The assumption made to arrive at the O( n log n) average run time for quicksort is that each input permutation is equally likely. Clearly, any average case analysis is only as good as how valid the assumption made on the input space is. Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm. Any analysis done of randomized algorithms will be valid for all p0:.sible inputs.
