Introduction to Computational Science

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Release : 2014-03-30
Genre : Computers
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Book Rating : 55X/5 ( reviews)

Introduction to Computational Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Computational Science write by Angela B. Shiflet. This book was released on 2014-03-30. Introduction to Computational Science available in PDF, EPUB and Kindle. 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

An Introduction to Computational Science

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Release : 2019-06-18
Genre : Business & Economics
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Book Rating : 796/5 ( reviews)

An Introduction to Computational Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Introduction to Computational Science write by Allen Holder. This book was released on 2019-06-18. An Introduction to Computational Science available in PDF, EPUB and Kindle. This textbook provides an introduction to the growing interdisciplinary field of computational science. It combines a foundational development of numerical methods with a variety of illustrative applications spread across numerous areas of science and engineering. The intended audience is the undergraduate who has completed introductory coursework in mathematics and computer science. Students gain computational acuity by authoring their own numerical routines and by practicing with numerical methods as they solve computational models. This education encourages students to learn the importance of answering: How expensive is a calculation, how trustworthy is a calculation, and how might we model a problem to apply a desired numerical method? The text is written in two parts. Part I provides a succinct, one-term inauguration into the primary routines on which a further study of computational science rests. The material is organized so that the transition to computational science from coursework in calculus, differential equations, and linear algebra is natural. Beyond the mathematical and computational content of Part I, students gain proficiency with elemental programming constructs and visualization, which are presented in MATLAB syntax. The focus of Part II is modeling, wherein students build computational models, compute solutions, and report their findings. The models purposely intersect numerous areas of science and engineering to demonstrate the pervasive role played by computational science.

Introduction to Computational Social Science

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Release : 2017-06-29
Genre : Computers
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Book Rating : 313/5 ( reviews)

Introduction to Computational Social Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Computational Social Science write by Claudio Cioffi-Revilla. This book was released on 2017-06-29. Introduction to Computational Social Science available in PDF, EPUB and Kindle. 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.

Insight Through Computing

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Release : 2010-01-01
Genre : Mathematics
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Book Rating : 918/5 ( reviews)

Insight Through Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Insight Through Computing write by Charles F. Van Loan. This book was released on 2010-01-01. Insight Through Computing available in PDF, EPUB and Kindle. An introduction to computer-based problem-solving using the MATLAB® environment for undergraduates.

Introduction to Computation and Programming Using Python, second edition

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Release : 2016-08-12
Genre : Computers
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Book Rating : 629/5 ( reviews)

Introduction to Computation and Programming Using Python, second edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Computation and Programming Using Python, second edition write by John V. Guttag. This book was released on 2016-08-12. Introduction to Computation and Programming Using Python, second edition available in PDF, EPUB and Kindle. 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.