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This work aims to provide an understanding of the analysis and applications of algorithmic paradigms, to both the traditional sequential model of computing and to a variety of parallel models. Concepts are applied to a broad range of subject areas, including matrix operations.
Book Synopsis Algorithms, Sequential & Parallel by : Russ Miller
Download or read book Algorithms, Sequential & Parallel written by Russ Miller and published by . This book was released on 2000 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work aims to provide an understanding of the analysis and applications of algorithmic paradigms, to both the traditional sequential model of computing and to a variety of parallel models. Concepts are applied to a broad range of subject areas, including matrix operations.
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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Book Synopsis Algorithms Sequential and Parallel by : Russ Miller
Download or read book Algorithms Sequential and Parallel written by Russ Miller and published by Cengage Learning. This book was released on 2012-12-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java.
Book Synopsis Sequential and Parallel Algorithms and Data Structures by : Peter Sanders
Download or read book Sequential and Parallel Algorithms and Data Structures written by Peter Sanders and published by Springer Nature. This book was released on 2019-08-31 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java.
Algorithms: Sequential, Parallel, and Distributed offers in-depth coverage of traditional and current topics in sequential algorithms, as well as a solid introduction to the theory of parallel and distributed algorithms. In light of the emergence of modern computing environments such as parallel computers, the Internet, and cluster and grid computing, it is important that computer science students be exposed to algorithms that exploit these technologies. Berman and Paul's text will teach students how to create new algorithms or modify existing algorithms, thereby enhancing students' ability to think independently.
Book Synopsis Algorithms by : Kenneth A. Berman
Download or read book Algorithms written by Kenneth A. Berman and published by Course Technology. This book was released on 2005 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms: Sequential, Parallel, and Distributed offers in-depth coverage of traditional and current topics in sequential algorithms, as well as a solid introduction to the theory of parallel and distributed algorithms. In light of the emergence of modern computing environments such as parallel computers, the Internet, and cluster and grid computing, it is important that computer science students be exposed to algorithms that exploit these technologies. Berman and Paul's text will teach students how to create new algorithms or modify existing algorithms, thereby enhancing students' ability to think independently.
Book Synopsis Algorithms, Sequential & Parallel by : Russ Miller
Download or read book Algorithms, Sequential & Parallel written by Russ Miller and published by . This book was released on 2000 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 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.
Book Synopsis Algorithms : Sequential & Parallel (2Nd Ed.) by : Russ Miller
Download or read book Algorithms : Sequential & Parallel (2Nd Ed.) written by Russ Miller and published by John Wiley & Sons. This book was released on 2005-10-11 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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.
Introduction fro ancient to modern times; Elementary data structures; Design analysis of sequential algorithms; Sequential sortin algorithms and their analysis; Introduction to parallel algorithms and architectures; parallel sorting; Expanding the design and analysis of the algorithms toolkit; Introduction, correctness proofs, and recurrence relations;Graphs, digraphs, and sets; Probability and average complexity of agorithms; Introduction to Lower bound theory; Parallel prefix, matix multiplication, and pointer jumping; Major design strategies; The Greedy method; Divide conquer; Dynamic programming; Backtracking and branch-and-bound; Special topics; Heuristic search: A- search, game trees; The dictionary problem: hashing and balanced trees; Probabilistic algorithms; graph algorithms; NP- complete problems and the class NC; The classes NC and P-complete; Closing remarks.
Book Synopsis Fundamentals of Sequential and Parallel Algorithms by : Kenneth A. Berman
Download or read book Fundamentals of Sequential and Parallel Algorithms written by Kenneth A. Berman and published by Course Technology. This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction fro ancient to modern times; Elementary data structures; Design analysis of sequential algorithms; Sequential sortin algorithms and their analysis; Introduction to parallel algorithms and architectures; parallel sorting; Expanding the design and analysis of the algorithms toolkit; Introduction, correctness proofs, and recurrence relations;Graphs, digraphs, and sets; Probability and average complexity of agorithms; Introduction to Lower bound theory; Parallel prefix, matix multiplication, and pointer jumping; Major design strategies; The Greedy method; Divide conquer; Dynamic programming; Backtracking and branch-and-bound; Special topics; Heuristic search: A- search, game trees; The dictionary problem: hashing and balanced trees; Probabilistic algorithms; graph algorithms; NP- complete problems and the class NC; The classes NC and P-complete; Closing remarks.
There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.
Book Synopsis Algorithms and Parallel Computing by : Fayez Gebali
Download or read book Algorithms and Parallel Computing written by Fayez Gebali and published by John Wiley & Sons. This book was released on 2011-03-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.
Everything should be made as simple as possible, but not simpler. (Albert Einstein, Readers Digest, 1977) The modern practice of creating technical systems and technological processes of high effi.ciency besides the employment of new principles, new materials, new physical effects and other new solutions ( which is very traditional and plays the key role in the selection of the general structure of the object to be designed) also includes the choice of the best combination for the set of parameters (geometrical sizes, electrical and strength characteristics, etc.) concretizing this general structure, because the Variation of these parameters ( with the structure or linkage being already set defined) can essentially affect the objective performance indexes. The mathematical tools for choosing these best combinations are exactly what is this book about. With the advent of computers and the computer-aided design the pro bations of the selected variants are usually performed not for the real examples ( this may require some very expensive building of sample op tions and of the special installations to test them ), but by the analysis of the corresponding mathematical models. The sophistication of the mathematical models for the objects to be designed, which is the natu ral consequence of the raising complexity of these objects, greatly com plicates the objective performance analysis. Today, the main (and very often the only) available instrument for such an analysis is computer aided simulation of an object's behavior, based on numerical experiments with its mathematical model.
Book Synopsis Global Optimization with Non-Convex Constraints by : Roman G. Strongin
Download or read book Global Optimization with Non-Convex Constraints written by Roman G. Strongin and published by Springer Science & Business Media. This book was released on 2013-11-09 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everything should be made as simple as possible, but not simpler. (Albert Einstein, Readers Digest, 1977) The modern practice of creating technical systems and technological processes of high effi.ciency besides the employment of new principles, new materials, new physical effects and other new solutions ( which is very traditional and plays the key role in the selection of the general structure of the object to be designed) also includes the choice of the best combination for the set of parameters (geometrical sizes, electrical and strength characteristics, etc.) concretizing this general structure, because the Variation of these parameters ( with the structure or linkage being already set defined) can essentially affect the objective performance indexes. The mathematical tools for choosing these best combinations are exactly what is this book about. With the advent of computers and the computer-aided design the pro bations of the selected variants are usually performed not for the real examples ( this may require some very expensive building of sample op tions and of the special installations to test them ), but by the analysis of the corresponding mathematical models. The sophistication of the mathematical models for the objects to be designed, which is the natu ral consequence of the raising complexity of these objects, greatly com plicates the objective performance analysis. Today, the main (and very often the only) available instrument for such an analysis is computer aided simulation of an object's behavior, based on numerical experiments with its mathematical model.
Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms. Each chapter contains a theoretical discussion of the topic, an algorithmic section that fully details implementation examples and specific algorithms, and an evaluation of the advantages and dr
Book Synopsis Parallel Iterative Algorithms by : Jacques Mohcine Bahi
Download or read book Parallel Iterative Algorithms written by Jacques Mohcine Bahi and published by CRC Press. This book was released on 2007-11-28 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms. Each chapter contains a theoretical discussion of the topic, an algorithmic section that fully details implementation examples and specific algorithms, and an evaluation of the advantages and dr
