Algorithms Sequential & Parallel: A Unified Approach / Edition 3

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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.

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Product Details

  • ISBN-13: 9781133366805
  • Publisher: Cengage Learning
  • Publication date: 12/20/2012
  • Edition description: New Edition
  • Edition number: 3
  • Pages: 448
  • Sales rank: 1,433,220
  • Product dimensions: 7.30 (w) x 9.20 (h) x 0.70 (d)

Meet the Author

Russ Miller is Distinguished Professor of Computer Science and Engineering, Head of the Cyberinfrastructure Laboratory, and Founding Director (1998-2006) of SUNY-Buffalo's world-class Center for Computational Research. Dr. Miller also maintains appointments in the Department of Electrical Engineering and the Department of Structural Biology at the Hauptman-Woodward Medical Research Institute. Dr. Miller has produced seminal work in areas of parallel algorithms for the mesh, pyramid, hypercube, and reconfigurable architectures covering domains that include computational geometry, image analysis, and fundamental data movement operations. Professor Miller's has over 200 publications, including peer-reviewed papers, chapters, and abstracts of presentations at national and international conferences. He has also authored 2 textbooks covering parallel and sequential algorithms. His Shake-and-Bake was listed on the IEEE poster "Top 10 Algorithms of the 20th Century." Dr. Miller is a fellow of the Institute Electrical and Electronics Engineers (IEEE) and a member of the European Academy of Sciences.

Laurence Boxer is Professor and past chair of the Department of Computer and Information Sciences at Niagara University and is Research Professor of Computer Science and Engineering at SUNY-Buffalo. He is a past member of the editorial board of the Journal of Computing and Information and has authored and co-authored numerous journal articles and conference proceedings papers in algorithms for computational geometry, image processing, and string pattern matching as well as in digital topology.

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Table of Contents

Discrete Mathematics Reference Guide. 1. Asymptotic Analysis. 2. Induction and Recursion. 3. The Master Method. 4. Models of Computation. 5. Combinational Circuits. 6. Matrix Operations. 7. Parallel Prefix. 8. Pointer Jumping. 9. Divide-and-Conquer. 10. Computational Geometry. 11. Image Processing. 12. Graph Algorithms. 13. Numerical Problems. Appendix 1: Proof of Mathematical Induction. Appendix 2: Proof of Master Theorem. Appendix 3: Proof of Expected Running Time of Quicksort. Appendix 4: Expected-Case Running Time of Quicksort.

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Sort by: Showing all of 2 Customer Reviews
  • Posted June 17, 2013

    WOW... I love MyDeals247 model - they create competition among t

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  • Anonymous

    Posted November 29, 2005


    Have you been trying to find a way of to integrate the presentation of sequential and parallel algorithms? If you have, this book is for you! Authors Russ Miller and Laurence Boxer, have done an outstanding job of writing a great book on how to employ a philosophy of presenting a paradigm, such as divide and conquer, and then discussing implementation issues for both sequential and parallel models. Miller and Laurence Boxer begin by introducing the concept of asymptotic analysis. Next, the author explains the Python programming language to write scripts. Then, they focus on fundamentals of induction and recursion. The authors continue by presenting the Master Method, a very useful cookbook-type of system for evaluating recurrence equations that are common in an algorithms-based setting. In addition, the authors next present an overview of combinational circuits and sorting networks. They also introduce fundamental models of computation, including the RAM and a variety of parallel models of computation. Next, the authors focus on the important problem of matrix multiplication, which is considered for a variety of models of computation. Then, they introduce the parallel prefix operation. The authors continue by introducing pointer jumping techniques and show how some list-based algorithms can be efficiently implemented in parallel. In addition, the authors next present the powerful divide and conquer paradigm. They also focus on two important application areas, namely, Computational Geometry and Image Processing. Next, the authors focus on fundamental graph theoretic problems. Finally, they cover sequential algorithms for polynomial evaluation and approximation of definite integrals. Due to the fact that authors of this excellent book present design and analysis of paradigms for sequential and parallel models, the reader will notice that the number of paradigms that can be treated is limited. But, that limitation is of no consequence when compared to a traditional sequential algorithms text.

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