Lessons in Scientific Computing : Numerical Mathematics, Computer Technology, and Scientific Discovery /

Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods, computer technology, and their interconnections, which are treated with the goal of facilitating scientific research across all disciplines. Each chapter provides...

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Bibliographic Details
Main Author: Schorghofer, Norbert (Author)
Corporate Author: Taylor and Francis
Format: Electronic eBook
Language:English
Published: Boca Raton, FL : CRC Press, [2018]
Edition:First edition.
Subjects:
Online Access: Full text (WIT users only)

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245 1 0 |a Lessons in Scientific Computing :  |b Numerical Mathematics, Computer Technology, and Scientific Discovery /  |c by Norbert Schorghofer. 
250 |a First edition. 
264 1 |a Boca Raton, FL :  |b CRC Press,  |c [2018] 
264 4 |c ©2019 
300 |a 1 online resource (204 pages) :  |b 82 illustrations, text file, PDF 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 0 |t Chapter 1.-- Analytical and Numerical Solutions --   |t Chapter2.-- A Few Concepts from Numerical Analysis --   |t Chapter 3.-- Roundoff and Number Representation --   |t Chapter 4.-- Programming Languages and Tools --   |t Chapter 5.-- Sample Problems; Building Conclusions --   |t Chapter6.-- Approximation Theory --   |t Chapter7.-- Other Common Computational Methods --   |t Chapter8.-- Performance Basics and Computer Architectures --   |t Chapter9.-- High-Performance and Parallel Computing --   |t Chapter10.-- The Operation Count; Numerical Linear Algebra --   |t Chapter11.-- Random Numbers and Stochastic Methods --   |t Chapter12.-- Algorithms, Data Structures, and Complexity --   |t Chapter13.-- Data --   |t Chapter14.-- Building Programs for Computation and Data Analysis --   |t Chapter15--. Crash Course on Partial Differential Equiations --   |t Chapter16--. Reformulated Problems 
520 3 |a Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods, computer technology, and their interconnections, which are treated with the goal of facilitating scientific research across all disciplines. Each chapter provides an insightful lesson and viewpoints from several subject areas are often compounded within a single chapter. Written with an eye on usefulness, longevity, and breadth, Lessons in Scientific Computing will serve as a "one stop shop" for students taking a unified course in scientific computing, or seeking a single cohesive text spanning multiple courses.Features:Provides a unique combination of numerical analysis, computer programming, and computer hardware in a single textIncludes essential topics such as numerical methods, approximation theory, parallel computing, algorithms, and examples of computational discoveries in science Written in a clear and engaging styleNot wedded to a specific programming language 
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