The Algorithm Design Manual

Author: Steven S Skiena
Publisher: Springer Science & Business Media
ISBN: 9781848000704
Release Date: 2009-04-05
Genre: Computers

This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java

Algorithm Design

Author: Jon Kleinberg
Publisher: Pearson Education India
ISBN: 813170310X
Release Date: 2006
Genre:


Algorithm design

Author: Marvin C. Paull
Publisher: John Wiley & Sons
ISBN: 0471816884
Release Date: 1988
Genre: Mathematics


Design and Analysis of Algorithms

Author: Parag Himanshu Dave
Publisher: Pearson Education India
ISBN: 8177585959
Release Date: 2009-08-10
Genre: Algorithms

"All aspects pertaining to algorithm design and algorithm analysis have been discussed over the chapters in this book-- Design and Analysis of Algorithms"--Resource description p.

Hyperspectral Data Processing

Author: Chein-I Chang
Publisher: John Wiley & Sons
ISBN: 9781118269770
Release Date: 2013-02-01
Genre: Technology & Engineering

Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Most materials covered in this book can be used in conjunction with the author’s first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap. Many results in this book are either new or have not been explored, presented, or published in the public domain. These include various aspects of endmember extraction, unsupervised linear spectral mixture analysis, hyperspectral information compression, hyperspectral signal coding and characterization, as well as applications to conceal target detection, multispectral imaging, and magnetic resonance imaging. Hyperspectral Data Processing contains eight major sections: Part I: provides fundamentals of hyperspectral data processing Part II: offers various algorithm designs for endmember extraction Part III: derives theory for supervised linear spectral mixture analysis Part IV: designs unsupervised methods for hyperspectral image analysis Part V: explores new concepts on hyperspectral information compression Parts VI & VII: develops techniques for hyperspectral signal coding and characterization Part VIII: presents applications in multispectral imaging and magnetic resonance imaging Hyperspectral Data Processing compiles an algorithm compendium with MATLAB codes in an appendix to help readers implement many important algorithms developed in this book and write their own program codes without relying on software packages. Hyperspectral Data Processing is a valuable reference for those who have been involved with hyperspectral imaging and its techniques, as well those who are new to the subject.

ALGORITHM DESIGN FOUNDATION ANALYSIS AND INTERNET EXAMPLES

Author: Michael T. Goodrich
Publisher: John Wiley & Sons
ISBN: 8126509864
Release Date: 2006-01-01
Genre: Computer algorithms

Market_Desc: · Computer Programmers· Software Engineers· Scientists Special Features: · Addresses the issue of the implementation of data structures and algorithms· Covers Cryptology, FFTs, Parallel algorithms, and NP-completeness About The Book: This text addresses the often neglected issue of how to actually implement data structures and algorithms. The title Algorithm Engineering reflects the authors' approach that designing and implementing algorithms takes more than just the theory of algorithms. It also involves engineering design principles, such as abstract data types, object-orient design patterns, and software use and robustness issues.

Experimental Algorithmics

Author: Rudolf Fleischer
Publisher: Springer
ISBN: 9783540363835
Release Date: 2003-07-01
Genre: Computers

Experimental algorithmics, as its name indicates, combines algorithmic work and experimentation: algorithms are not just designed, but also implemented and tested on a variety of instances. Perhaps the most important lesson in this process is that designing an algorithm is but the first step in the process of developing robust and efficient software for applications. Based on a seminar held at Dagstuhl Castle, Germany in September 2000, this state-of-the-art survey presents a coherent survey of the work done in the area so far. The 11 carefully reviewed chapters provide complete coverage of all current topics in experimental algorithmics.

Security of Block Ciphers

Author: Kazuo Sakiyama
Publisher: John Wiley & Sons
ISBN: 9781118660010
Release Date: 2015-09-28
Genre: Technology & Engineering

A comprehensive evaluation of information security analysis spanning the intersection of cryptanalysis and side-channel analysis Written by authors known within the academic cryptography community, this book presents the latest developments in current research Unique in its combination of both algorithmic-level design and hardware-level implementation; this all-round approach - algorithm to implementation – covers security from start to completion Deals with AES (Advanced Encryption standard), one of the most used symmetric-key ciphers, which helps the reader to learn the fundamental theory of cryptanalysis and practical applications of side-channel analysis

A Guide to Algorithm Design

Author: Anne Benoit
Publisher: CRC Press
ISBN: 9781439898130
Release Date: 2013-08-27
Genre: Computers

Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness. Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard. Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.

Algorithm Design Pearson New International Edition

Author: Jon Kleinberg
Publisher: Pearson Higher Ed
ISBN: 9781292037042
Release Date: 2013-08-29
Genre: Computers

August 6, 2009 Author, Jon Kleinberg, was recently cited in the New York Times for his statistical analysis research in the Internet age. Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches students a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the role of algorithms in the broader field of computer science.

Algorithm Design and Applications

Author: Michael T. Goodrich
Publisher: Wiley
ISBN: 1118335910
Release Date: 2014-10-27
Genre: Computers

Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications, by Michael T. Goodrich & Roberto Tamassia! Algorithms is a course required for all computer science majors, with a strong focus on theoretical topics. Students enter the course after gaining hands-on experience with computers, and are expected to learn how algorithms can be applied to a variety of contexts. This new book integrates application with theory. Goodrich & Tamassia believe that the best way to teach algorithmic topics is to present them in a context that is motivated from applications to uses in society, computer games, computing industry, science, engineering, and the internet. The text teaches students about designing and using algorithms, illustrating connections between topics being taught and their potential applications, increasing engagement.

Pearls of Functional Algorithm Design

Author: Richard Bird
Publisher: Cambridge University Press
ISBN: 9781139490603
Release Date: 2010-09-16
Genre: Computers

Richard Bird takes a radical approach to algorithm design, namely, design by calculation. These 30 short chapters each deal with a particular programming problem drawn from sources as diverse as games and puzzles, intriguing combinatorial tasks, and more familiar areas such as data compression and string matching. Each pearl starts with the statement of the problem expressed using the functional programming language Haskell, a powerful yet succinct language for capturing algorithmic ideas clearly and simply. The novel aspect of the book is that each solution is calculated from an initial formulation of the problem in Haskell by appealing to the laws of functional programming. Pearls of Functional Algorithm Design will appeal to the aspiring functional programmer, students and teachers interested in the principles of algorithm design, and anyone seeking to master the techniques of reasoning about programs in an equational style.