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| computer science string definition: Programming Fundamentals Kenneth Leroy Busbee, 2018-01-07 Programming Fundamentals - A Modular Structured Approach using C++ is written by Kenneth Leroy Busbee, a faculty member at Houston Community College in Houston, Texas. The materials used in this textbook/collection were developed by the author and others as independent modules for publication within the Connexions environment. Programming fundamentals are often divided into three college courses: Modular/Structured, Object Oriented and Data Structures. This textbook/collection covers the rest of those three courses. |
| computer science string definition: Algorithms on Strings, Trees, and Sequences Dan Gusfield, 1997-05-28 String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This book is a general text on computer algorithms for string processing. In addition to pure computer science, the book contains extensive discussions on biological problems that are cast as string problems, and on methods developed to solve them. It emphasises the fundamental ideas and techniques central to today's applications. New approaches to this complex material simplify methods that up to now have been for the specialist alone. With over 400 exercises to reinforce the material and develop additional topics, the book is suitable as a text for graduate or advanced undergraduate students in computer science, computational biology, or bio-informatics. Its discussion of current algorithms and techniques also makes it a reference for professionals. |
| computer science string definition: Fundamentals of Computer Programming with C# Svetlin Nakov, Veselin Kolev, 2013-09-01 The free book Fundamentals of Computer Programming with C# is a comprehensive computer programming tutorial that teaches programming, logical thinking, data structures and algorithms, problem solving and high quality code with lots of examples in C#. It starts with the first steps in programming and software development like variables, data types, conditional statements, loops and arrays and continues with other basic topics like methods, numeral systems, strings and string processing, exceptions, classes and objects. After the basics this fundamental programming book enters into more advanced programming topics like recursion, data structures (lists, trees, hash-tables and graphs), high-quality code, unit testing and refactoring, object-oriented principles (inheritance, abstraction, encapsulation and polymorphism) and their implementation the C# language. It also covers fundamental topics that each good developer should know like algorithm design, complexity of algorithms and problem solving. The book uses C# language and Visual Studio to illustrate the programming concepts and explains some C# / .NET specific technologies like lambda expressions, extension methods and LINQ. The book is written by a team of developers lead by Svetlin Nakov who has 20+ years practical software development experience. It teaches the major programming concepts and way of thinking needed to become a good software engineer and the C# language in the meantime. It is a great start for anyone who wants to become a skillful software engineer. The books does not teach technologies like databases, mobile and web development, but shows the true way to master the basics of programming regardless of the languages, technologies and tools. It is good for beginners and intermediate developers who want to put a solid base for a successful career in the software engineering industry. The book is accompanied by free video lessons, presentation slides and mind maps, as well as hundreds of exercises and live examples. Download the free C# programming book, videos, presentations and other resources from http://introprogramming.info. Title: Fundamentals of Computer Programming with C# (The Bulgarian C# Programming Book) ISBN: 9789544007737 ISBN-13: 978-954-400-773-7 (9789544007737) ISBN-10: 954-400-773-3 (9544007733) Author: Svetlin Nakov & Co. Pages: 1132 Language: English Published: Sofia, 2013 Publisher: Faber Publishing, Bulgaria Web site: http://www.introprogramming.info License: CC-Attribution-Share-Alike Tags: free, programming, book, computer programming, programming fundamentals, ebook, book programming, C#, CSharp, C# book, tutorial, C# tutorial; programming concepts, programming fundamentals, compiler, Visual Studio, .NET, .NET Framework, data types, variables, expressions, statements, console, conditional statements, control-flow logic, loops, arrays, numeral systems, methods, strings, text processing, StringBuilder, exceptions, exception handling, stack trace, streams, files, text files, linear data structures, list, linked list, stack, queue, tree, balanced tree, graph, depth-first search, DFS, breadth-first search, BFS, dictionaries, hash tables, associative arrays, sets, algorithms, sorting algorithm, searching algorithms, recursion, combinatorial algorithms, algorithm complexity, OOP, object-oriented programming, classes, objects, constructors, fields, properties, static members, abstraction, interfaces, encapsulation, inheritance, virtual methods, polymorphism, cohesion, coupling, enumerations, generics, namespaces, UML, design patterns, extension methods, anonymous types, lambda expressions, LINQ, code quality, high-quality code, high-quality classes, high-quality methods, code formatting, self-documenting code, code refactoring, problem solving, problem solving methodology, 9789544007737, 9544007733 |
| computer science string definition: Mathematical Foundations of Computer Science Ashwin Lall, 2024-11-05 Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of computation topics interleaved throughout. Students learn about mathematical concepts just in time to apply them to theory of computation ideas. For instance, sets motivate the study of finite automata, direct proof is practised using closure properties, induction is used to prove the language of an automaton, and contradiction is used to apply the pumping lemma. The main content of the book starts with primitive data types such as sets and strings and ends with showing the undecidability of the halting problem. There are also appendix chapters on combinatorics, probability, elementary number theory, asymptotic notation, graphs, loop invariants, and recurrences. The content is laid out concisely with a heavy reliance on worked examples, of which there are over 250 in the book. Each chapter has exercises, totalling 550. This class-tested textbook is targeted to intermediate Computer Science majors, and it is primarily intended for a discrete math / proofs course in a Computer Science major. It is also suitable for introductory theory of computation courses. The authors hope this book breeds curiosity into the subject and is designed to satisfy this to some extent by reading this book. The book will prepare readers for deeper study of game theory applications in many fields of study. |
| computer science string definition: Mathematical Structures for Computer Science Judith L. Gersting, 2007 This edition offers a pedagogically rich and intuitive introduction to discrete mathematics structures. It meets the needs of computer science majors by being both comprehensive and accessible. |
| computer science string definition: Dictionary of Computer Science, Engineering and Technology Philip A. Laplante, 2017-12-19 A complete lexicon of technical information, the Dictionary of Computer Science, Engineering, and Technology provides workable definitions, practical information, and enhances general computer science and engineering literacy. It spans various disciplines and industry sectors such as: telecommunications, information theory, and software and hardware systems. If you work with, or write about computers, this dictionary is the single most important resource you can put on your shelf. The dictionary addresses all aspects of computing and computer technology from multiple perspectives, including the academic, applied, and professional vantage points. Including more than 8,000 terms, it covers all major topics from artificial intelligence to programming languages, from software engineering to operating systems, and from database management to privacy issues. The definitions provided are detailed rather than concise. Written by an international team of over 80 contributors, this is the most comprehensive and easy-to-read reference of its kind. If you need to know the definition of anything related to computers you will find it in the Dictionary of Computer Science, Engineering, and Technology. |
| computer science string definition: A Dictionary of Computer Science Andrew Butterfield, Gerard Ekembe Ngondi, 2016 This bestselling dictionary has been fully revised, making it the most up-to-date and authoritative reference of its kind. Providing comprehensive coverage of computer applications in industry, school, work, education, and the home, it is the ideal reference for students, professionals, and anyone who uses computers. |
| computer science string definition: A Basis for Theoretical Computer Science M.A. Arbib, A.J. Kfoury, R.N. Moll, 2012-12-06 Computer science seeks to provide a scientific basis for the study of inform a tion processing, the solution of problems by algorithms, and the design and programming of computers. The last forty years have seen increasing sophistication in the science, in the microelectronics which has made machines of staggering complexity economically feasible, in the advances in programming methodology which allow immense programs to be designed with increasing speed and reduced error, and in the development of mathematical techniques to allow the rigorous specification of program, process, and machine. The present volume is one of a series, The AKM Series in Theoretical Computer Science, designed to make key mathe matical developments in computer science readily accessible to under graduate and beginning graduate students. Specifically, this volume takes readers with little or no mathematical background beyond high school algebra, and gives them a taste of a number of topics in theoretical computer science while laying the mathematical foundation for the later, more detailed, study of such topics as formal language theory, computability theory, programming language semantics, and the study of program verification and correctness. Chapter 1 introduces the basic concepts of set theory, with special emphasis on functions and relations, using a simple algorithm to provide motivation. Chapter 2 presents the notion of inductive proof and gives the reader a good grasp on one of the most important notions of computer science: the recursive definition of functions and data structures. |
| computer science string definition: Mathematical Foundations of Computer Science 1996 Wojciech Penczek, Andrzej Szalas, 1996-08-07 This book constitutes the refereed proceedings of the 21st International Symposium on Mathematical Foundations of Computer Science, MFCS '96, held in Crakow, Poland in September 1996. The volume presents 35 revised full papers selected from a total of 95 submissions together with 8 invited papers and 2 abstracts of invited talks. The papers included cover issues from the whole area of theoretical computer science, with a certain emphasis on mathematical and logical foundations. The 10 invited presentations are of particular value. |
| computer science string definition: Think Java Allen B. Downey, Chris Mayfield, 2016-05-06 Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards |
| computer science string definition: Algorithms on Strings, Trees, and Sequences Dan Gusfield, 1997-05-28 This book describes a range of string problems in computer science and molecular biology and the algorithms developed to solve them. |
| computer science string definition: Rudiments of Computer Science , |
| computer science string definition: Relational and Algebraic Methods in Computer Science Peter Höfner, Peter Jipsen, Wolfram Kahl, Martin Eric Müller, 2014-04-08 This book constitutes the proceedings of the 14th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 2014 held in Marienstatt, Germany, in April/May 2014. The 25 revised full papers presented were carefully selected from 37 submissions. The papers are structured in specific fields on concurrent Kleene algebras and related formalisms, reasoning about computations and programs, heterogeneous and categorical approaches, applications of relational and algebraic methods and developments related to modal logics and lattices. |
| computer science string definition: Computer Science – Theory and Applications Alexander S. Kulikov, Gerhard J. Woeginger, 2016-06-02 This book constitutes the proceedings of the 11th International Computer Science Symposium in Russia, CSR 2016, held in St. Petersburg, Russia, in June 2016. The 28 full papers presented in this volume were carefully reviewed and selected from 71 submissions. In addition the book contains 4 invited lectures. The scope of the proposed topics is quite broad and covers a wide range of areas such as: include, but are not limited to: algorithms and data structures; combinatorial optimization; constraint solving; computational complexity; cryptography; combinatorics in computer science; formal languages and automata; computational models and concepts; algorithms for concurrent and distributed systems, networks; proof theory and applications of logic to computer science; model checking; automated reasoning; and deductive methods. |
| computer science string definition: SOFSEM 2005: Theory and Practice of Computer Science Maria Bieliková, Peter Vojtás, Ondrej Sýkora, Charon-Bost, 2005-01-27 This book constitutes the refereed proceedings of the 31st Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2005, held in Liptovský Ján, Slovakia in January 2005. The 28 revised full papers and 16 revised short papers presented together with 8 invited contributions were carefully reviewed and selected from 144 submissions. The papers were organized in four topical tracks on foundations of computer science, modeling and searching data in the web area, software engineering, and graph drawing and discrete computational mathematics. |
| computer science string definition: Essential Discrete Mathematics for Computer Science Harry Lewis, Rachel Zax, 2019-03-19 A more intuitive approach to the mathematical foundation of computer science Discrete mathematics is the basis of much of computer science, from algorithms and automata theory to combinatorics and graph theory. This textbook covers the discrete mathematics that every computer science student needs to learn. Guiding students quickly through thirty-one short chapters that discuss one major topic each, this flexible book can be tailored to fit the syllabi for a variety of courses. Proven in the classroom, Essential Discrete Mathematics for Computer Science aims to teach mathematical reasoning as well as concepts and skills by stressing the art of proof. It is fully illustrated in color, and each chapter includes a concise summary as well as a set of exercises. The text requires only precalculus, and where calculus is needed, a quick summary of the basic facts is provided. Essential Discrete Mathematics for Computer Science is the ideal introductory textbook for standard undergraduate courses, and is also suitable for high school courses, distance education for adult learners, and self-study. The essential introduction to discrete mathematics Features thirty-one short chapters, each suitable for a single class lesson Includes more than 300 exercises Almost every formula and theorem proved in full Breadth of content makes the book adaptable to a variety of courses Each chapter includes a concise summary Solutions manual available to instructors |
| computer science string definition: Computer Science Allen B. Tucker, 1988 |
| computer science string definition: TEXTBOOK OF COMPUTER SCIENCE : FOR CLASS XII SEEMA BHATNAGAR, 2008-08-19 Written in Accordance with CBSE Syllabus for Board Examination to be Held in 2009 and 2010 This textbook is a sequel to the Textbook of Computer Science for Class XI. It is written in a simple, direct style for maximum clarity. It comprehensively covers the Class XII CBSE syllabus of Computer Science (subject code 083). The goal of the book is to develop the student’s proficiency in fundamentals and make the learning process creative, engrossing and interesting. There are practice exercises and questions throughout the text, designed on the pattern of sample question papers published by CBSE. The approach of this book is to teach the students through extensive “skill and drill” type exercises in order to make them high-ranking achievers in the Board examinations. KEY FEATURES Provides accurate and balanced coverage of topics as prescribed in the CBSE syllabus code 083. Builds a solid programming foundation in C++. Students can prepare a Practical File with solved programming examples given in the text. End-of-chapter questions help teachers prepare assignments for self-practice by the students. End-of-chapter Programming Exercises help students in preparing for the Board practical examination. Solved questions at the end of each chapter prepare students for the Board theory examination. For further guidance on how to use this book effectively, e-mail the author using seema_591@rediffmail.com |
| computer science string definition: TEXTBOOK OF COMPUTER SCIENCE FOR CLASS XI SEEMA BHATNAGAR, 2008-08-19 This textbook, presented in a clear and friendly writing style, provides students of Class XI with a thorough introduction to the discipline of computer science. It offers accurate and balanced coverage of all the computer science topics as prescribed in the CBSE syllabus Code 083. Assuming no previous knowledge of computer science, this book discusses key computing concepts to provide invaluable insight into how computers work. It prepares students for the world of computing by giving them a solid foundation in programming concepts, operating systems, problem solving methodology, C++ programming language, data representation, and computer hardware. KEY FEATURES • Explains theory in user friendly and easy-to-approach style • Teaches C++ from scratch; knowledge of C is not needed • Provides Programming Examples • Gives Practical Exercise • Provides Answers to Short Questions • Gives Practice Questions at the end of each chapter • Suitable for Self-Study |
| computer science string definition: Computer Science Logic European Association for Computer Science Logic. Conference, 2005-08-09 This book constitutes the refereed proceedings of the 19th International Workshop on Computer Science Logic, CSL 2005, held as the 14th Annual Conference of the EACSL in Oxford, UK in August 2005. The 33 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from 108 papers submitted. All current aspects of logic in computer science are addressed ranging from mathematical logic and logical foundations to methodological issues and applications of logics in various computing contexts. The volume is organized in topical sections on semantics and logics, type theory and lambda calculus, linear logic and ludics, constraints, finite models, decidability and complexity, verification and model checking, constructive reasoning and computational mathematics, and implicit computational complexity and rewriting. |
| computer science string definition: Encyclopedia of Computer Science and Technology Jack Belzer, Albert G. Holzman, Allen Kent, 1979-10-01 This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions. |
| computer science string definition: How to Design Programs, second edition Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi, 2018-05-25 A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming. |
| computer science string definition: Computer Science Handbook Allen B. Tucker, 2004-06-28 When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chap |
| computer science string definition: GATE AND PGECET For Computer Science and Information Technology DASARADH RAMAIAH K., 2014-10-01 Useful for Campus Recruitments, UGC-NET and Competitive Examinations— ISRO, DRDO, HAL, BARC, ONGC, NTPC, RRB, BHEL, MTNL, GAIL and Others 28 Years’ GATE Topic-wise Problems and Solutions In today’s competitive scenario, where there is a mushrooming of universities and engineering colleges, the only yardstick to analyze the caliber of engineering students is the Graduate Aptitude Test in Engineering (GATE). It is one of the recognized national level examination that demands focussed study along with forethought, systematic planning and exactitude. Postgraduate Engineering Common Entrance Test (PGECET) is also one of those examinations, a student has to face to get admission in various postgraduate programs. So, in order to become up to snuff for this eligibility clause (qualifying GATE/PGECET), a student facing a very high competition should excel his/her standards to success by way of preparing from the standard books. This book guides students via simple, elegant and explicit presentation that blends theory logically and rigorously with the practical aspects bearing on computer science and information technology. The book not only keeps abreast of all the chapterwise information generally asked in the examinations but also proffers felicitous tips in the furtherance of problem-solving technique. Various cardinal landmarks pertaining to the subject such as theory of computation, compiler design, digital logic design, computer organisation and architecture, computer networks, database management system, operating system, web technology, software engineering, C programming, data structure, design and analysis of algorithms along with general aptitude verbal ability, non-verbal aptitude, basic mathematics and discrete mathematics are now under a single umbrella. HIGHLIGHTS OF THE BOOK • Systematic discussion of concepts endowed with ample illustrations • Adequate study material suffused with pointwise style to enhance learning ability • Notes are incorporated at several places giving additional information on the key concepts • Inclusion of solved practice exercises for verbal and numerical aptitude to guide the students from practice and examination point of view • Points to ponder are provided in between for a quick recap before examination • Prodigious objective-type questions based on the GATE examination from 1987 to 2014 along with in-depth explanation for each solution from stem to stern • Every solution lasts with a reference, thus providing a scope for further study • Two sample papers for GATE 2015 are incorporated along with answer keys WHAT THE REVIEWERS SAY “Professor Dasaradh has significantly prepared each and every solution of the questions appeared in GATE and other competitive examinations and many individuals from the community have devoted their time to proofread and improve the quality of the solutions so that they become very lucid for the reader. I personally find this book very useful and only one of its kind in the market because this book gives complete analysis of the chapterwise questions based on the previous years’ examination. Moreover, all solutions are fully explained, with a reference to the concerned book given after each solution. It definitely helps in the elimination of redundant topics which are not important from examination point of view. So, the students will be able to reduce the volume of text matter to be studied. Besides, solutions are presented in lucid and understandable language for an average student.” —Dr. T. Venugopal, Associate Professor, Department of CSE, JNTUH, Jagtial “Overall, I think this book represents an extremely valuable and unique contribution to the competitive field because it captures a wealth of GATE/PGECET examination’s preparation experience in a compact and reusable form. This book is certainly one that I shall turn into a regular practice for all entrance examinations’ preparation guides. This book will change the way of preparation for all competitive examinations.” —Professor L.V.N. Prasad, CEO, Vardhaman College of Engineering, Hyderabad “I began to wish that someone would compile all the important abstracting information into one reference, as the need for a single reference book for aspirants had become even more apparent. I have been thinking about this project for several years, as I have conducted many workshops and training programs. This book is full of terms, phrases, examples and other key information as well as guidelines that will be helpful not only for the students or the young engineers but also for the instructors.” —Professor R. Muraliprasad, Professional Trainer, GATE/IES/PSU, Hyderabad The book, which will prove to be an epitome of learning the concepts of CS and IT for GATE/PGECET examination, is purely intended for the aspirants of GATE and PGECET examinations. It should also be of considerable utility and worth to the aspirants of UGC-NET as well as to those who wish to pursue career in public sector units like ONGC, NTPC, ISRO, BHEL, BARC, DRDO, DVC, Power-grid, IOCL and many more. In addition, the book is also of immense use for the placement coordinators of GATE/PGECET. |
| computer science string definition: Simply Scheme Brian Harvey, Matthew Wright, 1999 Showing off scheme - Functions - Expressions - Defining your own procedures - Words and sentences - True and false - Variables - Higher-order functions - Lambda - Introduction to recursion - The leap of faith - How recursion works - Common patterns in recursive procedures - Advanced recursion - Example : the functions program - Files - Vectors - Example : a spreadsheet program - Implementing the spreadsheet program - What's next? |
| computer science string definition: Logic And Language Models For Computer Science (Fourth Edition) Dana Richards, Henry Hamburger, 2023-01-19 This unique compendium highlights the theory of computation, particularly logic and automata theory. Special emphasis is on computer science applications including loop invariants, program correctness, logic programming and algorithmic proof techniques.This innovative volume differs from standard textbooks, by building on concepts in a different order, using fewer theorems with simpler proofs. It has added many new examples, problems and answers. It can be used as an undergraduate text at most universities. |
| computer science string definition: Transactions on Computational Science V Marina L. Gavrilova, Yingxu Wang, C. J. Kenneth Tan, Keith Chan, 2009-05-25 The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. The fifth volume of the Transactions on Computational Science journal, edited by Yingxu Wang and Keith C.C. Chan, is devoted to the subject of cognitive knowledge representation. This field of study focuses on the internal knowledge representation mechanisms of the brain and how these can be applied to computer science and engineering. The issue includes the latest research results in internal knowledge representation at the logical, functional, physiological, and biological levels and describes their impacts on computing, artificial intelligence, and computational intelligence. |
| computer science string definition: GATE AND PGECET FOR COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, Second Edition RAMAIAH K, DASARADH, 2019-11-01 Graduate Aptitude Test in Engineering (GATE) is one of the recognized national level examinations that demands focussed study along with forethought, systematic planning and exactitude. Postgraduate Engineering Common Entrance Test (PGECET) is also one of those examinations, a student has to face to get admission in various postgraduate programs. So, in order to become up to snuff for this eligibility clause (qualifying GATE/PGECET), a student facing a very high competition should excel his/her standards to success by way of preparing from the standard books. This book guides students via simple, elegant and explicit presentation that blends theory logically and rigorously with the practical aspects bearing on computer science and information technology. The book not only keeps abreast of all the chapterwise information generally asked in the examinations but also proffers felicitous tips in the furtherance of problem-solving technique. HIGHLIGHTS OF THE BOOK • Systematic discussion of concepts endowed with ample illustrations • Notes are incorporated at several places giving additional information on the key concepts • Inclusion of solved practice exercises for verbal and numerical aptitude to guide students from practice and examination point of view • Prodigious objective-type questions based on the past years’ GATE examination questions with answer keys and in-depth explanation are available at https://www.phindia.com/GATE_AND_PGECET • Every solution lasts with a reference, thus providing a scope for further study The book, which will prove to be an epitome of learning the concepts of CS and IT for GATE/PGECET examination, is purely intended for the aspirants of GATE and PGECET examinations. It should also be of considerable utility and worth to the aspirants of UGC-NET as well as to those who wish to pursue career in public sector units like ONGC, NTPC, ISRO, BHEL, BARC, DRDO, DVC, Power-grid, IOCL and many more. In addition, the book is also of immense use for the placement coordinators of GATE/PGECET. TARGET AUDIENCE • GATE/PGECET Examination • UGC-NET Examination • Examinations conducted by PSUs like ONGC, NTPC, ISRO, BHEL, BARC, DRDO, DVC, Power-grid, IOCL and many more |
| computer science string definition: Mathematical Foundations of Computer Science 2000 Mogens Nielsen, Branislav Rovan, 2003-06-29 This book constitutes the refereed proceedings of the 25th International Symposium on Mathematical Foundations of Computer Science, MFCS 2000, held in Bratislava/Slovakia in August/September 2000. The 57 revised full papers presented together with eight invited papers were carefully reviewed and selected from a total of 147 submissions. The book gives an excellent overview on current research in theoretical informatics. All relevant foundational issues, from mathematical logics as well as from discrete mathematics are covered. Anybody interested in theoretical computer science or the theory of computing will benefit from this book. |
| computer science string definition: From Semantics to Computer Science Gilles Kahn, Yves Bertot, 2009-09-24 Gilles Kahn was one of the most influential figures in the development of computer science and information technology, not only in Europe but throughout the world. This volume of articles by several leading computer scientists serves as a fitting memorial to Kahn's achievements and reflects the broad range of subjects to which he contributed through his scientific research and his work at INRIA, the French National Institute for Research in Computer Science and Control. The authors also reflect upon the future of computing: how it will develop as a subject in itself and how it will affect other disciplines, from biology and medical informatics, to web and networks in general. Its breadth of coverage, topicality, originality and depth of contribution, make this book a stimulating read for all those interested in the future development of information technology. |
| computer science string definition: Computer Science -- Theory and Applications Lev D. Beklemishev, Daniil V. Musatov, 2015-06-22 This book constitutes the proceedings of the 10th International Computer Science Symposium in Russia, CSR 2015, held in Listvyanka, Russia, in July 2015. The 25 full papers presented in this volume were carefully reviewed and selected from 61 submissions. In addition the book contains 4 invited lectures. The scope of the proposed topics is quite broad and covers a wide range of areas in theoretical computer science and its applications. |
| computer science string definition: SOFSEM 2014: Theory and Practice of Computer Science Viliam Geffert, Bart Preneel, Branislav Rovan, Július Štuller, A Min Tjoa, 2014-01-20 This book constitutes the refereed proceedings of the 40th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2014, held in Nový Smokovec, Slovakia, in January 2014. The 40 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The book also contains 6 invited talks. The contributions covers topics as: Foundations of Computer Science, Software and Web Engineering, as well as Data, Information and Knowledge Engineering and Cryptography, Security and Verification. |
| computer science string definition: Graph-Grammars and Their Application to Computer Science and Biology V. Claus, H. Ehrig, G. Rozenberg, 1979-07 |
| computer science string definition: Gems of Theoretical Computer Science Uwe Schöning, Randall J. Pruim, 2012-12-06 This book assembles some of the most important problems and solutions in theoretical computer science-from computability, logic, circuit theory, and complexity. The book presents these important results with complete proofs in an understandable form. It also presents previously open problems that have found (perhaps unexpected) solutions, and challenges the reader to pursue further active research in computer science. |
| computer science string definition: Automata, Languages and Programming Luca Aceto, Monika Henzinger, JirÌŒiÌ Sgall, 2011-06-27 The two-volume set LNCS 6755 and LNCS 6756 constitutes the refereed proceedings of the 38th International Colloquium on Automata, Languages and Programming, ICALP 2011, held in Zürich, Switzerland, in July 2011. The 114 revised full papers (68 papers for track A, 29 for track B, and 17 for track C) presented together with 4 invited talks, 3 best student papers, and 3 best papers were carefully reviewed and selected from a total of 398 submissions. The papers are grouped in three major tracks on algorithms, complexity and games; on logic, semantics, automata, and theory of programming; as well as on foundations of networked computation: models, algorithms and information management. |
| computer science string definition: Fundamental Structures of Computer Science William Allan Wulf, 1981 |
| computer science string definition: Tale Of Discrete Mathematics, A: A Journey Through Logic, Reasoning, Structures And Graph Theory Joseph Khoury, 2024-03-19 Topics covered in Discrete Mathematics have become essential tools in many areas of studies in recent years. This is primarily due to the revolution in technology, communications, and cyber security. The book treats major themes in a typical introductory modern Discrete Mathematics course: Propositional and predicate logic, proof techniques, set theory (including Boolean algebra, functions and relations), introduction to number theory, combinatorics and graph theory.An accessible, precise, and comprehensive approach is adopted in the treatment of each topic. The ability of abstract thinking and the art of writing valid arguments are emphasized through detailed proof of (almost) every result. Developing the ability to think abstractly and roguishly is key in any areas of science, information technology and engineering. Every result presented in the book is followed by examples and applications to consolidate its comprehension. The hope is that the reader ends up developing both the abstract reasoning as well as acquiring practical skills.All efforts are made to write the book at a level accessible to first-year students and to present each topic in a way that facilitates self-directed learning. Each chapter starts with basic concepts of the subject at hand and progresses gradually to cover more ground on the subject. Chapters are divided into sections and subsections to facilitate readings. Each section ends with its own carefully chosen set of practice exercises to reenforce comprehension and to challenge and stimulate readers.As an introduction to Discrete Mathematics, the book is written with the smallest set of prerequisites possible. Familiarity with basic mathematical concepts (usually acquired in high school) is sufficient for most chapters. However, some mathematical maturity comes in handy to grasp some harder concepts presented in the book. |
| computer science string definition: Scientific and Technical Aerospace Reports , 1991 |
| computer science string definition: Mathematical Foundations of Computer Science Peter A. Fejer, Dan A. Simovici, 2012-12-06 Mathematical Foundations of Computer Science, Volume I is the first of two volumes presenting topics from mathematics (mostly discrete mathematics) which have proven relevant and useful to computer science. This volume treats basic topics, mostly of a set-theoretical nature (sets, functions and relations, partially ordered sets, induction, enumerability, and diagonalization) and illustrates the usefulness of mathematical ideas by presenting applications to computer science. Readers will find useful applications in algorithms, databases, semantics of programming languages, formal languages, theory of computation, and program verification. The material is treated in a straightforward, systematic, and rigorous manner. The volume is organized by mathematical area, making the material easily accessible to the upper-undergraduate students in mathematics as well as in computer science and each chapter contains a large number of exercises. The volume can be used as a textbook, but it will also be useful to researchers and professionals who want a thorough presentation of the mathematical tools they need in a single source. In addition, the book can be used effectively as supplementary reading material in computer science courses, particularly those courses which involve the semantics of programming languages, formal languages and automata, and logic programming. |
| computer science string definition: What Can Be Computed? John MacCormick, 2018-05-01 An accessible and rigorous textbook for introducing undergraduates to computer science theory What Can Be Computed? is a uniquely accessible yet rigorous introduction to the most profound ideas at the heart of computer science. Crafted specifically for undergraduates who are studying the subject for the first time, and requiring minimal prerequisites, the book focuses on the essential fundamentals of computer science theory and features a practical approach that uses real computer programs (Python and Java) and encourages active experimentation. It is also ideal for self-study and reference. The book covers the standard topics in the theory of computation, including Turing machines and finite automata, universal computation, nondeterminism, Turing and Karp reductions, undecidability, time-complexity classes such as P and NP, and NP-completeness, including the Cook-Levin Theorem. But the book also provides a broader view of computer science and its historical development, with discussions of Turing's original 1936 computing machines, the connections between undecidability and Gödel's incompleteness theorem, and Karp's famous set of twenty-one NP-complete problems. Throughout, the book recasts traditional computer science concepts by considering how computer programs are used to solve real problems. Standard theorems are stated and proven with full mathematical rigor, but motivation and understanding are enhanced by considering concrete implementations. The book's examples and other content allow readers to view demonstrations of—and to experiment with—a wide selection of the topics it covers. The result is an ideal text for an introduction to the theory of computation. An accessible and rigorous introduction to the essential fundamentals of computer science theory, written specifically for undergraduates taking introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with forthcoming Java alternatives online) to enhance motivation and understanding Gives equal emphasis to computability and complexity Includes special topics that demonstrate the profound nature of key ideas in the theory of computation Lecture slides and Python programs are available at whatcanbecomputed.com |
Strings - NCERT
Introduction to Strings String Operations Traversing a String Strings Methods and Built-in Functions Handling Strings Python does not have a … See more
Theory of Computer Science SCJ 3203 Strings and Languages
Definition of S* • If S is a set of words, then by S* we mean the set of all finite strings formed by concatenating words from S, where any word may be used as often as we like, and where the …
C Strings - School of Engineering & Applied Science
4. C Built-in String Function The library string.h contains prototypes of many useful functions: Strcpy(dest, src) copies src string into dest string. strncpy copies a certain amount of …
Formal Language Theory - Department of Computer …
String: Any nite sequence of symbols is called a string. Empty sequence is also allowed and denoted (called \empty" or \null" string). Example 2. Consider the following examples of string. …
Exact String Matching: The Fundamental String Problem
Given a string P called the pattern and a longer string T called the text, the exact matching problem is to find all occurrences, if any, of pattern P in text T. For example, if P = aba and T = …
String Manipulation | AQA GCSE Computer Science
What is string manipulation? What is casting?
UNIT-I Strings, Alphabets, Language and Operations - Yola
Strings of characters are fundamental building blocks in computer science. Alphabet is defined as a non empty finite set or nonempty set of symbols. The members of alphabet are the symbols …
Sets and Strings - University of Waterloo
In computer science, a language just means a set of strings. Such sets of strings can represent a task to be solved: the task of deciding whether a given input string is in the set. Some …
Teaching guide: String handling - AQA
It supports Section 3.2.8 of our GCSE Computer Science specification (8525). The guide is designed to address the following outcomes: View strings as arrays of characters. Use …
CS 107 Lecture 4: Chars and C-Strings - web.stanford.edu
Instead, a string is represented as an array of characters with a special ending sentinel value. '\0' is the null-terminating character; you always need to allocate one extra space in an array for it. …
Languages and Strings - Texas State University
Interpretation: Figure out what (if anything) useful it does. We need a single framework in which we can analyze a very diverse set of problems. A language is a (possibly infinite) set of finite …
Formal Grammars and Languages - Computer Science and …
In this chapter, we will present some formal systems that de ̄ne families of formal languages arising in many computer science applications. Our primary focus will be on context-free …
Binary Representation and Strings - Stanford University
Oct 9, 2018 · • The fundamental unit of memory inside a computer is called a bit—a term introduced in a paper by Claude Shannon as a contraction of the words binary digit. • An …
Objects as a programming concept - IB CompSci Hub
Content developed by Dartford Grammar School Computer Science Department Definition: identifier •An identifier is a named pointer that explicitly identifies an object, class, method, or …
Teaching guide: String handling - notes.papacambridge.com
Teaching guide: String handling This resource will help with understanding string handling operations in a programming language. It supports Section 3.2.8 of our current GCSE …
What Is A String In Computer Science (book)
What Is A String In Computer Science: Algorithms on Strings, Trees, and Sequences Dan Gusfield,1997-05-28 String algorithms are a traditional area of study in computer science In …
CS 107 Lecture 4: Chars and C-Strings - Stanford University
strings are simply a sequence of "null" byte). strings are referenced by a pointer to its first character, or by an array variable, which is converted to a pointer when we need to access the …
CSCI 3434: Theory of Computation - University of Colorado …
Department of Computer Science, University of Colorado Boulder Alphabet, Strings, and Languages • An alphabet Σ = {$,&,’} is a finite set of letters/symbols.
Lecture 7: Formal Languages - University College Cork
(In Theoretical Computer Science, sentence and word are used interchangeably with string. I’ll avoid this because students find it confusing: they get confused because using sentence and …
Characters and Strings - Stanford University
Selecting Characters from a String • Conceptually, a string is an ordered collection of characters. • In Java, the character positions in a string are identified by an index that begins at 0 and …
Strings - NCERT
String is a sequence which is made up of one or more UNICODE characters. Here the character can be a letter, digit, whitespace or any other symbol. A string can be created by enclosing …
Theory of Computer Science SCJ 3203 Strings and Languages
Definition of S* • If S is a set of words, then by S* we mean the set of all finite strings formed by concatenating words from S, where any word may be used as often as we like, and where the …
C Strings - School of Engineering & Applied Science
4. C Built-in String Function The library string.h contains prototypes of many useful functions: Strcpy(dest, src) copies src string into dest string. strncpy copies a certain amount of …
Formal Language Theory - Department of Computer Science, …
String: Any nite sequence of symbols is called a string. Empty sequence is also allowed and denoted (called \empty" or \null" string). Example 2. Consider the following examples of string. …
Exact String Matching: The Fundamental String Problem
Given a string P called the pattern and a longer string T called the text, the exact matching problem is to find all occurrences, if any, of pattern P in text T. For example, if P = aba and T = …
String Manipulation | AQA GCSE Computer Science ... - Save …
What is string manipulation? What is casting?
UNIT-I Strings, Alphabets, Language and Operations - Yola
Strings of characters are fundamental building blocks in computer science. Alphabet is defined as a non empty finite set or nonempty set of symbols. The members of alphabet are the symbols …
Sets and Strings - University of Waterloo
In computer science, a language just means a set of strings. Such sets of strings can represent a task to be solved: the task of deciding whether a given input string is in the set. Some …
Teaching guide: String handling - AQA
It supports Section 3.2.8 of our GCSE Computer Science specification (8525). The guide is designed to address the following outcomes: View strings as arrays of characters. Use …
CS 107 Lecture 4: Chars and C-Strings - web.stanford.edu
Instead, a string is represented as an array of characters with a special ending sentinel value. '\0' is the null-terminating character; you always need to allocate one extra space in an array for it. …
Languages and Strings - Texas State University
Interpretation: Figure out what (if anything) useful it does. We need a single framework in which we can analyze a very diverse set of problems. A language is a (possibly infinite) set of finite …
Formal Grammars and Languages - Computer Science and …
In this chapter, we will present some formal systems that de ̄ne families of formal languages arising in many computer science applications. Our primary focus will be on context-free …
Binary Representation and Strings - Stanford University
Oct 9, 2018 · • The fundamental unit of memory inside a computer is called a bit—a term introduced in a paper by Claude Shannon as a contraction of the words binary digit. • An …
Objects as a programming concept - IB CompSci Hub
Content developed by Dartford Grammar School Computer Science Department Definition: identifier •An identifier is a named pointer that explicitly identifies an object, class, method, or …
Teaching guide: String handling - notes.papacambridge.com
Teaching guide: String handling This resource will help with understanding string handling operations in a programming language. It supports Section 3.2.8 of our current GCSE …
What Is A String In Computer Science (book)
What Is A String In Computer Science: Algorithms on Strings, Trees, and Sequences Dan Gusfield,1997-05-28 String algorithms are a traditional area of study in computer science In …
CS 107 Lecture 4: Chars and C-Strings - Stanford University
strings are simply a sequence of "null" byte). strings are referenced by a pointer to its first character, or by an array variable, which is converted to a pointer when we need to access the …
CSCI 3434: Theory of Computation - University of Colorado …
Department of Computer Science, University of Colorado Boulder Alphabet, Strings, and Languages • An alphabet Σ = {$,&,’} is a finite set of letters/symbols.
Lecture 7: Formal Languages - University College Cork
(In Theoretical Computer Science, sentence and word are used interchangeably with string. I’ll avoid this because students find it confusing: they get confused because using sentence and …
Characters and Strings - Stanford University
Selecting Characters from a String • Conceptually, a string is an ordered collection of characters. • In Java, the character positions in a string are identified by an index that begins at 0 and …
