Introduction To Computation

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Introduction to Computation and Programming Using Python, second edition

John V. Guttag
Introduction to Computation and Programming Using Python second edition Book PDF

Author : John V. Guttag
Publisher : MIT Press
Page : 466 pages
File Size : 48,9 Mb
Release : 2016-08-12
Category : Computers
ISBN : 9780262529624

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Introduction to Computation and Programming Using Python, second edition by John V. Guttag Pdf

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.

Introduction to Computation

Donald Sannella,Michael Fourman,Haoran Peng,Philip Wadler
Introduction to Computation Book PDF

Author : Donald Sannella,Michael Fourman,Haoran Peng,Philip Wadler
Publisher : Springer Nature
Page : 371 pages
File Size : 51,6 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9783030769086

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Introduction to Computation by Donald Sannella,Michael Fourman,Haoran Peng,Philip Wadler Pdf

Computation, itself a form of calculation, incorporates steps that include arithmetical and non-arithmetical (logical) steps following a specific set of rules (an algorithm). This uniquely accessible textbook introduces students using a very distinctive approach, quite rapidly leading them into essential topics with sufficient depth, yet in a highly intuitive manner. From core elements like sets, types, Venn diagrams and logic, to patterns of reasoning, calculus, recursion and expression trees, the book spans the breadth of key concepts and methods that will enable students to readily progress with their studies in Computer Science.

Introduction to Computing

David Evans
Introduction to Computing Book PDF

Author : David Evans
Publisher : Unknown
Page : 300 pages
File Size : 46,7 Mb
Release : 2011-12-07
Category : Electronic
ISBN : 0983455759

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Introduction to Computing by David Evans Pdf

Introduction to Computing is a comprehensive text designed for the CS0 (Intro to CS) course at the college level. It may also be used as a primary text for the Advanced Placement Computer Science course at the high school level.

An Introduction to Natural Computation

Dana H. Ballard
An Introduction to Natural Computation Book PDF

Author : Dana H. Ballard
Publisher : MIT Press
Page : 338 pages
File Size : 52,8 Mb
Release : 1999-01-22
Category : Psychology
ISBN : 0262522586

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An Introduction to Natural Computation by Dana H. Ballard Pdf

This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models—ranging from neural network learning through reinforcement learning to genetic learning—and situates the various models in their appropriate neural context. To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.

Introduction to the Theory of Computation

Michael Sipser
Introduction to the Theory of Computation Book PDF

Author : Michael Sipser
Publisher : Cengage Learning
Page : 0 pages
File Size : 44,9 Mb
Release : 2012-06-27
Category : Computers
ISBN : 113318779X

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Introduction to the Theory of Computation by Michael Sipser Pdf

Now you can clearly present even the most complex computational theory topics to your students with Sipser’s distinct, market-leading INTRODUCTION TO THE THEORY OF COMPUTATION, 3E. The number one choice for today’s computational theory course, this highly anticipated revision retains the unmatched clarity and thorough coverage that make it a leading text for upper-level undergraduate and introductory graduate students. This edition continues author Michael Sipser’s well-known, approachable style with timely revisions, additional exercises, and more memorable examples in key areas. A new first-of-its-kind theoretical treatment of deterministic context-free languages is ideal for a better understanding of parsing and LR(k) grammars. This edition’s refined presentation ensures a trusted accuracy and clarity that make the challenging study of computational theory accessible and intuitive to students while maintaining the subject’s rigor and formalism. Readers gain a solid understanding of the fundamental mathematical properties of computer hardware, software, and applications with a blend of practical and philosophical coverage and mathematical treatments, including advanced theorems and proofs. INTRODUCTION TO THE THEORY OF COMPUTATION, 3E’s comprehensive coverage makes this an ideal ongoing reference tool for those studying theoretical computing. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Models of Computation

Maribel Fernandez
Models of Computation Book PDF

Author : Maribel Fernandez
Publisher : Springer Science & Business Media
Page : 188 pages
File Size : 52,5 Mb
Release : 2009-04-14
Category : Computers
ISBN : 9781848824348

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Models of Computation by Maribel Fernandez Pdf

A Concise Introduction to Computation Models and Computability Theory provides an introduction to the essential concepts in computability, using several models of computation, from the standard Turing Machines and Recursive Functions, to the modern computation models inspired by quantum physics. An in-depth analysis of the basic concepts underlying each model of computation is provided. Divided into two parts, the first highlights the traditional computation models used in the first studies on computability: - Automata and Turing Machines; - Recursive functions and the Lambda-Calculus; - Logic-based computation models. and the second part covers object-oriented and interaction-based models. There is also a chapter on concurrency, and a final chapter on emergent computation models inspired by quantum mechanics. At the end of each chapter there is a discussion on the use of computation models in the design of programming languages.

An Introduction to Computational Learning Theory

Michael J. Kearns,Umesh Vazirani
An Introduction to Computational Learning Theory Book PDF

Author : Michael J. Kearns,Umesh Vazirani
Publisher : MIT Press
Page : 230 pages
File Size : 50,8 Mb
Release : 1994-08-15
Category : Computers
ISBN : 0262111934

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An Introduction to Computational Learning Theory by Michael J. Kearns,Umesh Vazirani Pdf

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.

Introduction to the Theory of Computation

Michael Sipser
Introduction to the Theory of Computation Book PDF

Author : Michael Sipser
Publisher : Thomson/Course Technology
Page : 437 pages
File Size : 55,6 Mb
Release : 2006
Category : Computational complexity
ISBN : 0619217642

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Introduction to the Theory of Computation by Michael Sipser Pdf

"Intended as an upper-level undergraduate or introductory graduate text in computer science theory," this book lucidly covers the key concepts and theorems of the theory of computation. The presentation is remarkably clear; for example, the "proof idea," which offers the reader an intuitive feel for how the proof was constructed, accompanies many of the theorems and a proof. Introduction to the Theory of Computation covers the usual topics for this type of text plus it features a solid section on complexity theory--including an entire chapter on space complexity. The final chapter introduces more advanced topics, such as the discussion of complexity classes associated with probabilistic algorithms.

Introduction to Computational Science

Angela B. Shiflet,George W. Shiflet
Introduction to Computational Science Book PDF

Author : Angela B. Shiflet,George W. Shiflet
Publisher : Princeton University Press
Page : 857 pages
File Size : 42,7 Mb
Release : 2014-03-30
Category : Computers
ISBN : 9781400850556

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Introduction to Computational Science by Angela B. Shiflet,George W. Shiflet Pdf

The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Introduction to Computational Social Science

Claudio Cioffi-Revilla
Introduction to Computational Social Science Book PDF

Author : Claudio Cioffi-Revilla
Publisher : Springer
Page : 636 pages
File Size : 49,5 Mb
Release : 2017-06-29
Category : Computers
ISBN : 9783319501314

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Introduction to Computational Social Science by Claudio Cioffi-Revilla Pdf

This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.

An Introduction to Online Computation

Dennis Komm
An Introduction to Online Computation Book PDF

Author : Dennis Komm
Publisher : Springer
Page : 349 pages
File Size : 46,6 Mb
Release : 2016-10-31
Category : Computers
ISBN : 9783319427492

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An Introduction to Online Computation by Dennis Komm Pdf

This textbook explains online computation in different settings, with particular emphasis on randomization and advice complexity. These settings are analyzed for various online problems such as the paging problem, the k-server problem, job shop scheduling, the knapsack problem, the bit guessing problem, and problems on graphs. This book is appropriate for undergraduate and graduate students of computer science, assuming a basic knowledge in algorithmics and discrete mathematics. Also researchers will find this a valuable reference for the recent field of advice complexity.

Introduction To Numerical Computation, An (Second Edition)

Wen Shen
Introduction To Numerical Computation An Second Edition Book PDF

Author : Wen Shen
Publisher : World Scientific
Page : 339 pages
File Size : 40,9 Mb
Release : 2019-08-28
Category : Mathematics
ISBN : 9789811204432

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Introduction To Numerical Computation, An (Second Edition) by Wen Shen Pdf

This book serves as a set of lecture notes for a senior undergraduate level course on the introduction to numerical computation, which was developed through 4 semesters of teaching the course over 10 years. The book requires minimum background knowledge from the students, including only a three-semester of calculus, and a bit on matrices.The book covers many of the introductory topics for a first course in numerical computation, which fits in the short time frame of a semester course. Topics range from polynomial approximations and interpolation, to numerical methods for ODEs and PDEs. Emphasis was made more on algorithm development, basic mathematical ideas behind the algorithms, and the implementation in Matlab.The book is supplemented by two sets of videos, available through the author's YouTube channel. Homework problem sets are provided for each chapter, and complete answer sets are available for instructors upon request.The second edition contains a set of selected advanced topics, written in a self-contained manner, suitable for self-learning or as additional material for an honored version of the course. Videos are also available for these added topics.

Introduction to Languages and the Theory of Computation

John C. Martin
Introduction to Languages and the Theory of Computation Book PDF

Author : John C. Martin
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 0 pages
File Size : 52,9 Mb
Release : 2003
Category : Computable functions
ISBN : 0072322004

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Introduction to Languages and the Theory of Computation by John C. Martin Pdf

Provides an introduction to the theory of computation that emphasizes formal languages, automata and abstract models of computation, and computability. This book also includes an introduction to computational complexity and NP-completeness.

A Gentle Introduction to Effective Computing in Quantitative Research

Harry J. Paarsch,Konstantin Golyaev
A Gentle Introduction to Effective Computing in Quantitative Research Book PDF

Author : Harry J. Paarsch,Konstantin Golyaev
Publisher : MIT Press
Page : 777 pages
File Size : 42,6 Mb
Release : 2016-05-13
Category : Computers
ISBN : 9780262034111

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A Gentle Introduction to Effective Computing in Quantitative Research by Harry J. Paarsch,Konstantin Golyaev Pdf

A practical guide to using modern software effectively in quantitative research in the social and natural sciences. This book offers a practical guide to the computational methods at the heart of most modern quantitative research. It will be essential reading for research assistants needing hands-on experience; students entering PhD programs in business, economics, and other social or natural sciences; and those seeking quantitative jobs in industry. No background in computer science is assumed; a learner need only have a computer with access to the Internet. Using the example as its principal pedagogical device, the book offers tried-and-true prototypes that illustrate many important computational tasks required in quantitative research. The best way to use the book is to read it at the computer keyboard and learn by doing. The book begins by introducing basic skills: how to use the operating system, how to organize data, and how to complete simple programming tasks. For its demonstrations, the book uses a UNIX-based operating system and a set of free software tools: the scripting language Python for programming tasks; the database management system SQLite; and the freely available R for statistical computing and graphics. The book goes on to describe particular tasks: analyzing data, implementing commonly used numerical and simulation methods, and creating extensions to Python to reduce cycle time. Finally, the book describes the use of LaTeX, a document markup language and preparation system.

A Recursive Introduction to the Theory of Computation

Carl Smith
A Recursive Introduction to the Theory of Computation Book PDF

Author : Carl Smith
Publisher : Springer Science & Business Media
Page : 155 pages
File Size : 44,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781441985019

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A Recursive Introduction to the Theory of Computation by Carl Smith Pdf

The aim of this textbook is to present an account of the theory of computation. After introducing the concept of a model of computation and presenting various examples, the author explores the limitations of effective computation via basic recursion theory. Self-reference and other methods are introduced as fundamental and basic tools for constructing and manipulating algorithms. From there the book considers the complexity of computations and the notion of a complexity measure is introduced. Finally, the book culminates in considering time and space measures and in classifying computable functions as being either feasible or not. The author assumes only a basic familiarity with discrete mathematics and computing, making this textbook ideal for a graduate-level introductory course. It is based on many such courses presented by the author and so numerous exercises are included. In addition, the solutions to most of these exercises are provided.