Reflecting the growing importance of parallel computing in mainstream computer technology, this book offers a fully integrated study of parallel and sequential algorithms—helping readers understand the application and analysis of algorithmic paradigms to both the (traditional) sequential model of computing and to a variety of parallel models, and showing them how solution strategies may be shared among computer architectures.Relates/contrasts sequential and parallel algorithms where appropriate (i.e., covers a paradigm—such as divide-and-conquer—and then considers design, analysis, and implementation issues for both the sequential and parallel models). Reviews mathematical concepts and develops mathematical tools early on—including asymptotic analysis, induction and recursion, and Master Method; provides a broad variety of architectures and application areas (including matrix operations, computational geometry, graph algorithms, and numerical problems). Offers many illustrations, exercises, and worked examples. Assumes basic knowledge of data structures, discrete mathematics and calculus. For advanced undergraduates, graduate students, and computer science industry professionals.

Algorithms Sequential and Parallel: A Unified Approach

Computers & Technology

Miller, Russ

Boxer, Laurence

Programming

PRENTICE/HALL

Equip yourself for success with a state-of-the-art approach to algorithms available only in Miller/Boxer's ALGORITHMS SEQUENTIAL AND PARALLEL: A UNIFIED APPROACH, 3E. This unique and functional text gives you an introduction to algorithms and paradigms for modern computing systems, integrating the study of parallel and sequential algorithms within a focused presentation. With a wide range of practical exercises and engaging examples drawn from fundamental application domains, this book prepares you to design, analyze, and implement algorithms for modern computing systems.

Algorithms Sequential & Parallel: A Unified Approach

Computer Science

Cengage Learning'

With multi-core processors replacing traditional processors and the movement to multiprocessor workstations and servers, parallel computing has moved from a specialty area to the core of computer science. In order to provide efficient and cost-effective solutions to problems, algorithms must be designed for multiprocessor systems. Algorithms Sequential and Parallel: A Unified Approach 2/E provides a state-of-the-art approach to an algorithms course. The book considers algorithms, paradigms, and the analysis of solutions to critical problems for sequential and parallel models of computation in a unified fashion. This gives practicing engineers and scientists, undergraduates, and beginning graduate students a background in algorithms for sequential and parallel algorithms within one text. Prerequisites include fundamentals of data structures, discrete mathematics, and calculus.

Algorithms Sequential & Parallel: A Unified Approach (Electrical and Computer Engineering Series)

Course Technology

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