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Author: Donald Ervin Knuth Publisher: Center for the Study of Language and Information Publica Tion ISBN: 9781575865829 Category : Algorithms Languages : en Pages : 0
Book Description
Donald Knuth's influence in computer science ranges from the invention of methods for translating and defining programming languages to the creation of the TEX and METAFONT systems for desktop publishing. His award-winning textbooks have become classics that are often given credit for shaping the field; his scientific papers are widely referenced and stand as milestones of development over a wide variety of topics. The present volume, which is the seventh in a series of his collected papers, is devoted to his work on the design of new algorithms. It covers methods for numerous discrete problems such as sorting, searching, data compression, optimization, theorem-proving, and cryptography, as well as methods for controlling errors in numerical computations and for Brownian motion. Nearly thirty of Knuth's classic papers on the subject are collected in this book, brought up to date with extensive revisions and notes on subsequent developments. Many of these algorithms have seen wide use--for example, Knuth's algorithm for optimum search trees, the Faller-Gallagher-Knuth algorithm for adaptive Huffman coding, the Knuth-Morris-Pratt algorithm for pattern matching, the Dijkstra-Knuth algorithm for optimum expressions, and the Knuth-Bendix algorithm for deducing the consequences of axioms. Others are pedagogically important, helping students to learn how to design new algorithms for new tasks. One or two are significant historically, as they show how things were done in computing's early days. All are found here, together with more than forty newly created illustrations.
Author: Donald Ervin Knuth Publisher: Center for the Study of Language and Information Publica Tion ISBN: 9781575865829 Category : Algorithms Languages : en Pages : 0
Book Description
Donald Knuth's influence in computer science ranges from the invention of methods for translating and defining programming languages to the creation of the TEX and METAFONT systems for desktop publishing. His award-winning textbooks have become classics that are often given credit for shaping the field; his scientific papers are widely referenced and stand as milestones of development over a wide variety of topics. The present volume, which is the seventh in a series of his collected papers, is devoted to his work on the design of new algorithms. It covers methods for numerous discrete problems such as sorting, searching, data compression, optimization, theorem-proving, and cryptography, as well as methods for controlling errors in numerical computations and for Brownian motion. Nearly thirty of Knuth's classic papers on the subject are collected in this book, brought up to date with extensive revisions and notes on subsequent developments. Many of these algorithms have seen wide use--for example, Knuth's algorithm for optimum search trees, the Faller-Gallagher-Knuth algorithm for adaptive Huffman coding, the Knuth-Morris-Pratt algorithm for pattern matching, the Dijkstra-Knuth algorithm for optimum expressions, and the Knuth-Bendix algorithm for deducing the consequences of axioms. Others are pedagogically important, helping students to learn how to design new algorithms for new tasks. One or two are significant historically, as they show how things were done in computing's early days. All are found here, together with more than forty newly created illustrations.
Author: Steven S Skiena Publisher: Springer Science & Business Media ISBN: 1848000707 Category : Computers Languages : en Pages : 742
Book Description
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
Author: Donald Ervin Knuth Publisher: Stanford Univ Center for the Study ISBN: 9781575862125 Category : Computers Languages : en Pages : 621
Book Description
Analysis of Algorithms is the fourth in a series of collected works by world-renowned computer scientist Donald Knuth. This volume is devoted to an important subfield of Computer Science that Knuth founded in the 1960s and still considers his main life's work. This field, to which he gave the name Analysis of Algorithms, deals with quantitative studies of computer techniques, leading to methods for understanding and predicting the efficiency of computer programs. Analysis of Algorithms, which has grown to be a thriving international discipline, is the unifying theme underlying Knuth's well known book The Art of Computer Programming. More than 30 of the fundamental papers that helped to shape this field are reprinted and updated in the present collection, together with historical material that has not previously been published. Although many ideas come and go in the rapidly changing world of computer science, the basic concepts and techniques of algorithmic analysis will remain important as long as computers are used.
Author: Dexter C. Kozen Publisher: Springer Science & Business Media ISBN: 1461244005 Category : Computers Languages : en Pages : 327
Book Description
These are my lecture notes from CS681: Design and Analysis of Algo rithms, a one-semester graduate course I taught at Cornell for three consec utive fall semesters from '88 to '90. The course serves a dual purpose: to cover core material in algorithms for graduate students in computer science preparing for their PhD qualifying exams, and to introduce theory students to some advanced topics in the design and analysis of algorithms. The material is thus a mixture of core and advanced topics. At first I meant these notes to supplement and not supplant a textbook, but over the three years they gradually took on a life of their own. In addition to the notes, I depended heavily on the texts • A. V. Aho, J. E. Hopcroft, and J. D. Ullman, The Design and Analysis of Computer Algorithms. Addison-Wesley, 1975. • M. R. Garey and D. S. Johnson, Computers and Intractibility: A Guide to the Theory of NP-Completeness. w. H. Freeman, 1979. • R. E. Tarjan, Data Structures and Network Algorithms. SIAM Regional Conference Series in Applied Mathematics 44, 1983. and still recommend them as excellent references.
Author: Sandeep Sen Publisher: Cambridge University Press ISBN: 1108576893 Category : Computers Languages : en Pages : 396
Book Description
The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.
Author: Michael T. Goodrich Publisher: John Wiley & Sons ISBN: 0471383651 Category : Computers Languages : en Pages : 722
Book Description
Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms. Market: Computer Scientists; Programmers.
Author: China Society of Automotive Engineers Publisher: Springer Nature ISBN: 9811938423 Category : Technology & Engineering Languages : en Pages : 1373
Book Description
These proceedings gather outstanding papers presented at the China SAE Congress 2021, held on Oct. 19-21, Shanghai, China. Featuring contributions mainly from China, the biggest carmaker as well as most dynamic car market in the world, the book covers a wide range of automotive-related topics and the latest technical advances in the industry. Many of the approaches in the book will help technicians to solve practical problems that affect their daily work. In addition, the book offers valuable technical support to engineers, researchers and postgraduate students in the field of automotive engineering.
Author: Anne Benoit Publisher: CRC Press ISBN: 1439898138 Category : Computers Languages : en Pages : 380
Book Description
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.
Author: Gabriel Kabanda Publisher: GRIN Verlag ISBN: 3668983895 Category : Computers Languages : en Pages : 14
Book Description
Academic Paper from the year 2019 in the subject Computer Science - Theory, grade: 4.00, Atlantic International University, language: English, abstract: The paper presents an analytical exposition, a critical context, and an integrative conclusion on the six major text books on Algorithms design and analysis. Algorithms form the heart of Computer Science in general. An algorithm is simply a set of steps to accomplish or complete a task that is described precisely enough that a computer can run it. It is a sequence of unambiguous instructions for solving a problem, and is used for obtaining a required output for any legitimate input in a finite amount of time. Algorithms can be considered as procedural solutions to problems where the focus is on correctness and efficiency. The important problem types are sorting, searching, string processing, graph problems, combinatorial problems, geometric problems, and numerical problems.
Author: Anuradha A. Puntambekar Publisher: Technical Publications ISBN: 933322386X Category : Computers Languages : en Pages : 688
Book Description
This well-organized textbook provides the design techniques of algorithms in a simple and straight forward manner. The book begins with a description of the fundamental concepts such as algorithm, functions and relations, vectors and matrices. Then it focuses on efficiency analysis of algorithms. In this unit, the technique of computing time complexity of the algorithm is discussed along with illustrative examples. Gradually, the text discusses various algorithmic strategies such as divide and conquer, dynamic programming, Greedy algorithm, backtracking and branch and bound. Finally the string matching algorithms and introduction to NP completeness is discussed. Each algorithmic strategy is explained in stepwise manner, followed by examples and pseudo code. Thus this book helps the reader to learn the analysis and design of algorithms in the most lucid way.
Author: Donald Ervin Knuth
Author: Donald Ervin Knuth
Author: Steven S Skiena
Author: Donald Ervin Knuth
Author: Dexter C. Kozen
Author: Sandeep Sen
Author: Michael T. Goodrich
Author: China Society of Automotive Engineers
Author: Anne Benoit
Author: Gabriel Kabanda
Author: Anuradha A. Puntambekar