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Introduction to Scientific Computing and Data Analysis: 13 (Texts in Computational Science and Engineering) - Tapa dura
Sinopsis
THIS TEXTBOOK PROVIDES AND INTRODUCTION TO NUMERICAL COMPUTING AND ITS APPLICATIONS IN SCIENCE AND ENGINEERING. THE TOPICS COVERED INCLUDE THOSE USUALLY FOUND IN AN INTRODUCTORY COURSE, AS WELL AS THOSE THAT ARISE IN DATA ANALYSIS. THIS INCLUDES OPTIMIZATION AND REGRESSION BASED METHODS USING A SINGULAR VALUE DECOMPOSITION. THE EMPHASIS IS ON PROBLEM SOLVING, AND THERE ARE NUMEROUS EXERCISES THROUGHOUT THE TEXT CONCERNING APPLICATIONS IN ENGINEERING AND SCIENCE. THE ESSENTIAL ROLE OF THE MATHEMATICAL THEORY UNDERLYING THE METHODS IS ALSO CONSIDERED, BOTH FOR UNDERSTANDING HOW THE METHOD WORKS, AS WELL AS HOW THE ERROR IN THE COMPUTATION DEPENDS ON THE METHOD BEING USED. THE MATLAB CODES USED TO PRODUCE MOST OF THE FIGURES AND DATA TABLES IN THE TEXT ARE AVAILABLE ON THE AUTHOR’S WEBSITE AND SPRINGERLINK.<P></P>
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Críticas
“The material is accompanied by many examples, exercises, as well as diagrams and tables of resulting data which are produced by MATLAB for which the programs are available on the author's website. The book is intended for beginners in scientific computing with basic knowledge in calculus, matrix algebra, and differential equations. ... a good reading for the more advanced scientific engineer or lecturer in this field who may find numerous suggestions for working or teaching.” (Gudula Rünger, zbMATH 1368.65002, 2017)
Reseña del editor
This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author’s website and SpringerLink.
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- EditorialSpringer International Publishing AG
- Año de publicación2016
- ISBN 10 331930254X
- ISBN 13 9783319302546
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas497
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Introduction to Scientific Computing and Data Analysis (Texts in Computational Science and Engineering, 13)
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ISBN 13: 9783319302546
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Introduction to Scientific Computing and Data Analysis (Texts in Computational Science and Engineering (13), Band 13)
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Gebundene Ausgabe. Condición: Sehr gut. Gebraucht - Sehr gut SG - Ungelesenes Mängelexemplar, gestempelt, mit leichten Lagerspuren - This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author's website and SpringerLink. Nº de ref. del artículo: INF1000548323
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