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Algorithms Their Complexity And Efficiency


Algorithms Their Complexity And Efficiency
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Algorithms Their Complexity And Efficiency


Algorithms Their Complexity And Efficiency
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Author : Lydia I. Kronsjö
language : en
Publisher: John Wiley & Sons
Release Date : 1979

Algorithms Their Complexity And Efficiency written by Lydia I. Kronsjö and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Computers categories.


Like the first edition, this book is concerned with the study of algorithms and their complexity, and the evaluation of their performance.



Complexity Theory


Complexity Theory
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Author : Ingo Wegener
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-04-11

Complexity Theory written by Ingo Wegener and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-11 with Computers categories.


Reflects recent developments in its emphasis on randomized and approximation algorithms and communication models All topics are considered from an algorithmic point of view stressing the implications for algorithm design



Space Efficient Data Structures Streams And Algorithms


Space Efficient Data Structures Streams And Algorithms
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Author : Andrej Brodnik
language : en
Publisher: Springer
Release Date : 2013-08-13

Space Efficient Data Structures Streams And Algorithms written by Andrej Brodnik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-13 with Computers categories.


This Festschrift volume, published in honour of J. Ian Munro, contains contributions written by some of his colleagues, former students, and friends. In celebration of his 66th birthday the colloquium "Conference on Space Efficient Data Structures, Streams and Algorithms" was held in Waterloo, ON, Canada, during August 15-16, 2013. The articles presented herein cover some of the main topics of Ian's research interests. Together they give a good overall perspective of the last 40 years of research in algorithms and data structures.



Computational Complexity


Computational Complexity
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Author : Sanjeev Arora
language : en
Publisher: Cambridge University Press
Release Date : 2009-04-20

Computational Complexity written by Sanjeev Arora and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-20 with Computers categories.


New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.



Theory And Engineering Of Dependable Computer Systems And Networks


Theory And Engineering Of Dependable Computer Systems And Networks
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Author : Wojciech Zamojski
language : en
Publisher: Springer Nature
Release Date : 2021-05-26

Theory And Engineering Of Dependable Computer Systems And Networks written by Wojciech Zamojski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-26 with Technology & Engineering categories.


This book contains papers on selected aspects of dependability analysis in computer systems and networks, which were chosen for discussion during the 16th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 28 to July 2, 2021. Their collection will be a valuable source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also—the most dynamically evolving ones), organization of contemporary computer systems cannot be interpreted only as structures built on the basis of (unreliable) technical resources. Their evaluation must take into account a specific blend of interacting people (their needs and behaviours), networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Ever-growing number of research methods being continuously developed for dependability analyses apply the newest techniques of artificial and computational intelligence. Selection of papers in these proceedings illustrates diversity of multi-disciplinary topics which are considered in present-day dependability explorations.



Efficient Algorithm Design


Efficient Algorithm Design
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Author : Masoud Makrehchi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-31

Efficient Algorithm Design written by Masoud Makrehchi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.


Master advanced algorithm design techniques to tackle complex programming challenges and optimize application performance Key Features Develop advanced algorithm design skills to solve modern computational problems Learn state-of-the-art techniques to deepen your understanding of complex algorithms Apply your skills to real-world scenarios, enhancing your expertise in today's tech landscape Purchase of the print or Kindle book includes a free PDF eBook Book Description Efficient Algorithm Design redefines algorithms, tracing the evolution of computer science as a discipline bridging natural science and mathematics. Author Masoud Makrehchi, PhD, with his extensive experience in delivering publications and presentations, explores the duality of computers as mortal hardware and immortal algorithms. The book guides you through essential aspects of algorithm design and analysis, including proving correctness and the importance of repetition and loops. This groundwork sets the stage for exploring algorithm complexity, with practical exercises in design and analysis using sorting and search as examples. Each chapter delves into critical topics such as recursion and dynamic programming, reinforced with practical examples and exercises that link theory with real-world applications. What sets this book apart is its focus on the practical application of algorithm design and analysis, equipping you to solve real programming challenges effectively. By the end of this book, you’ll have a deep understanding of algorithmic foundations and gain proficiency in designing efficient algorithms, empowering you to develop more robust and optimized software solutions. What you will learn Gain skills in advanced algorithm design for better problem-solving Understand algorithm correctness and complexity for robust software Apply theoretical concepts to real-world scenarios for practical solutions Master sorting and search algorithms, understanding their synergy Explore recursion and recurrence for complex algorithmic structures Leverage dynamic programming to optimize algorithms Grasp the impact of data structures on algorithm efficiency and design Who this book is for If you’re a software engineer, computer scientist, or a student in a related field looking to deepen your understanding of algorithm design and analysis, this book is tailored for you. A foundation in programming and a grasp of basic mathematical concepts is recommended. It's an ideal resource for those already familiar with the basics of algorithms who want to explore more advanced topics. Data scientists and AI developers will find this book invaluable for enhancing their algorithmic approaches in practical applications.



Text Algorithms


Text Algorithms
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Author : Maxime Crochemore
language : en
Publisher: Maxime Crochemore
Release Date : 1994

Text Algorithms written by Maxime Crochemore and has been published by Maxime Crochemore this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.


This much-needed book on the design of algorithms and data structures for text processing emphasizes both theoretical foundations and practical applications. It is intended to serve both as a textbook for courses on algorithm design, especially those related to text processing, and as a reference for computer science professionals. The work takes a unique approach, one that goes more deeply into its topic than other more general books. It contains both classical algorithms and recent results of research on the subject. The book is the first text to contain a collection of a wide range of text algorithms, many of them quite new and appearing here for the first time. Other algorithms, while known by reputation, have never been published in the journal literature. Two such important algorithms are those of Karp, Miller and Rosenberg, and that of Weiner. Here they are presented together for the fist time. The core of the book is the material on suffix trees and subword graphs, applications of these data structures, new approaches to time-space optimal string-matching, and text compression. Also covered are basic parallel algorithms for text problems. Applications of all these algorithms are given for problems involving data retrieval systems, treatment of natural languages, investigation of genomes, data compression software, and text processing tools. From the theoretical point of view. the book is a goldmine of paradigms for the development of efficient algorithms, providing the necessary foundation to creating practical software dealing with sequences. A crucial point in the authors' approach is the development of a methodology for presenting text algorithms so they can be fully understood. Throughout, the book emphasizes the efficiency of algorithms, holding that the essence of their usefulness depends on it. This is especially important since the algorithms described here will find application in "Big Science" areas like molecular sequence analysis where the explosive growth of data has caused problems for the current generation of software. Finally, with its development of theoretical background, the book can be considered as a mathematical foundation for the analysis and production of text processing algorithms.



Distributed Algorithms


Distributed Algorithms
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Author : Marios Mavronicolas
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-09-10

Distributed Algorithms written by Marios Mavronicolas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-09-10 with Computers categories.


This book constitutes the refereed proceedings of the 11th International Workshop on Distributed Algorithms, WDAG '97, held in Saarbrücken, Germany, in September 1997. The volume presents 20 revised full papers selected from 59 submissions. Also included are three invited papers by leading researchers. The papers address a variety of current issues in the area of distributed algorithms and, more generally, distributed systems such as various particular algorithms, randomized computing, routing, networking, load balancing, scheduling, message-passing, shared-memory systems, communication, graph algorithms, etc.



Super Recursive Algorithms


Super Recursive Algorithms
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Author : Mark Burgin
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-12-21

Super Recursive Algorithms written by Mark Burgin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-21 with Mathematics categories.


Super-Recursive Algorithms provides an accessible, focused examination of the theory of super-recursive algorithms and its ramifications for the computer industry, networks, artificial intelligence, embedded systems, and the Internet. The book demonstrates how these algorithms are more appropriate as mathematical models for modern computers, and how these algorithms present a better framework for computing methods in such areas as numerical analysis, array searching, and controlling and monitoring systems. In addition, a new practically-oriented perspective on the theory of algorithms, computation, and automata, as a whole, is developed. Problems of efficiency, software development, parallel and distributed processing, pervasive and emerging computation, computer architecture, machine learning, brain modeling, knowledge discovery, and intelligent systems are addressed. This clear exposition, motivated by numerous examples and illustrations, serves researchers and advanced students interested in theory of computation and algorithms.



Problems On Algorithms


Problems On Algorithms
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Author : Habib Izadkhah
language : en
Publisher: Springer Nature
Release Date : 2022-11-01

Problems On Algorithms written by Habib Izadkhah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-01 with Computers categories.


With approximately 2500 problems, this book provides a collection of practical problems on the basic and advanced data structures, design, and analysis of algorithms. To make this book suitable for self-instruction, about one-third of the algorithms are supported by solutions, and some others are supported by hints and comments. This book is intended for students wishing to deepen their knowledge of algorithm design in an undergraduate or beginning graduate class on algorithms, for those teaching courses in this area, for use by practicing programmers who wish to hone and expand their skills, and as a self-study text for graduate students who are preparing for the qualifying examination on algorithms for a Ph.D. program in Computer Science or Computer Engineering. About all, it is a good source for exam problems for those who teach algorithms and data structure. The format of each chapter is just a little bit of instruction followed by lots of problems. This book is intended to augment the problem sets found in any standard algorithms textbook. This book • begins with four chapters on background material that most algorithms instructors would like their students to have mastered before setting foot in an algorithms class. The introductory chapters include mathematical induction, complexity notations, recurrence relations, and basic algorithm analysis methods. • provides many problems on basic and advanced data structures including basic data structures (arrays, stack, queue, and linked list), hash, tree, search, and sorting algorithms. • provides many problems on algorithm design techniques: divide and conquer, dynamic programming, greedy algorithms, graph algorithms, and backtracking algorithms. • is rounded out with a chapter on NP-completeness.