Scientific Computing : : For Scientists and Engineers / / Timo Heister, Leo G. Rebholz.

Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing. Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a comp...

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Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2023]
©2023
Year of Publication:2023
Edition:2nd Edition
Language:English
Series:De Gruyter Textbook
Online Access:
Physical Description:1 online resource (XIV, 170 p.)
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245 1 0 |a Scientific Computing :  |b For Scientists and Engineers /  |c Timo Heister, Leo G. Rebholz. 
250 |a 2nd Edition 
264 1 |a Berlin ;  |a Boston :   |b De Gruyter,   |c [2023] 
264 4 |c ©2023 
300 |a 1 online resource (XIV, 170 p.) 
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505 0 0 |t Frontmatter --   |t Preface --   |t Acknowledgments --   |t Contents --   |t 1 Introduction --   |t 2 Computer representation of numbers and roundoff error --   |t 3 Solving linear systems of equations --   |t 4 Finite difference methods --   |t 5 Solving nonlinear equations --   |t 6 Accuracy in solving linear systems --   |t 7 Eigenvalues and eigenvectors --   |t 8 Fitting curves to data --   |t 9 Numerical integration --   |t 10 Initial value ODEs --   |t A Getting started with Octave and MATLAB --   |t Index 
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520 |a Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing. Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems; Scientific computing fundamentals like floating point representation of numbers and convergence; Analysis of accuracy and efficiency; Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems; Exercises to reinforce all topics. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) 
650 4 |a Numerical Analysis. 
650 4 |a Scientific Computing. 
650 7 |a COMPUTERS / Social Aspects / General.  |2 bisacsh 
653 |a Numerical Analysis. 
653 |a Scientific Computing. 
700 1 |a Rebholz, Leo G.,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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