[PDF] Objective Computer Science eBook

Author : Chandresh Agrawal
Publisher : Chandresh Agrawal
Page : 120 pages
File Size : 32,49 MB
Release : 2023-10-12
Category : Computers
ISBN :

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SGN. The Computer Science Engineering Objective Questions PDF eBook Covers Objective Questions From various Competitive Exams With Answers.

Author : Arihant Experts
Publisher : Arihant Publications India limited
Page : 416 pages
File Size : 23,12 MB
Release : 2018-04-20
Category :
ISBN : 9350944308

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Scope of science and technology is expanding at an exponential rate and so is the need of skilled professionals i.e., Engineers. To stand out of the crowd amidst rising competition, many of the engineering graduates aim to crack GATE, IES and PSUs and pursue various post graduate Programmes. Handbook series as its name suggests is a set of Best-selling Multi-Purpose Quick Revision resource books, those are devised with anytime, anywhere approach. It’s a compact, portable revision aid like none other. It contains almost all useful Formulae, equations, Terms, definitions and many more important aspects of these subjects. Computer Science & IT Handbook has been designed for aspirants of GATE, IES, PSUs and Other Competitive Exams. Each topic is summarized in the form of key points and notes for everyday work, problem solving or exam revision, in a unique format that displays concepts clearly. The book also displays formulae and circuit diagrams clearly, places them in context and crisply identities and describes all the variables involved Theory of Computation, Data Structure with Programming in C, Design and Analysis of Algorithm, Database Management Systems, Operation System, Computer Network, Compiler Design, Software Engineering and Information System, Web Technology, Switching Theory and Computer Architecture

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
Page : 253 pages
File Size : 22,68 MB
Release : 2018-04-28
Category : Education
ISBN : 0309467020

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The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation.

Author : Thu Bui, Lam
Publisher : IGI Global
Page : 496 pages
File Size : 35,61 MB
Release : 2008-05-31
Category : Technology & Engineering
ISBN : 1599045001

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Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.

Author : Sanjeev Thakur
Publisher : Rudra Publications
Page : 195 pages
File Size : 36,47 MB
Release :
Category : Computers
ISBN : 9393767475

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Computer Science is the basic need of every organization to find out where it stands. it is a very important subject of students and every person involved in it has prescribed set of tasks. A major goal of this book “Concepts of Computer Science” is not just to explain fundamental theories and concept of computer science discipline, but to help students apply those theories and concepts to their IT lives and work lives. This book is a modest attempt to give exposure of concepts of computer science. This book has been written for the students of Class 1 to Graduation. All the new features included and extensive revision done, we feverishly hope that the book would appeal to the students , the teachers and all the interested reader. All the suggestions and feedbacks are welcomed to further improve the quality of the content to achieve the objective of presenting this book.

Author : Carlos Coello Coello
Publisher : Springer Science & Business Media
Page : 600 pages
File Size : 44,84 MB
Release : 2013-03-09
Category : Computers
ISBN : 1475751842

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Researchers and practitioners alike are increasingly turning to search, op timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu tionary computation for the solution of multi-objective problems is a landmark addition to the literature that comes just in the nick of time. Multi-objective evolutionary algorithms (MOEAs) are receiving increasing and unprecedented attention. Researchers and practitioners are finding an irresistible match be tween the popUlation available in most genetic and evolutionary algorithms and the need in multi-objective problems to approximate the Pareto trade-off curve or surface.

Author : Thomas Philip Runarsson
Publisher : Springer
Page : 1079 pages
File Size : 13,41 MB
Release : 2006-10-06
Category : Computers
ISBN : 3540389911

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This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.