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Analysis for Computer Scientists: Foundations, Methods, and Algorithms

โœ Scribed by Michael Oberguggenberger; Alexander Ostermann

Publisher
Springer Science & Business Media
Year
2011
Tongue
English
Leaves
342
Category
Library
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โœฆ Synopsis

This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. Features: thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter, as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes definitions, propositions and examples throughout the text; supplementary software can be downloaded from the bookโ€™s webpage.

๐Ÿ“œ SIMILAR VOLUMES

Analysis for Computer Scientists: Founda
๐Ÿ“ Analysis for Computer Scientists: Foundations, Methods, and Algorithms
โœ Michael Oberguggenberger, Alexander Ostermann (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><p>Mathematics and mathematical modelling are of central importance in computer science, and therefore it is vital that computer scientists are aware of the latest concepts and techniques.</p><p>This concise and easy-to-read textbook/reference presents an algorithmic approach to mathematical anal

Analysis for Computer Scientists: Founda
๐Ÿ“ Analysis for Computer Scientists: Foundations, Methods, and Algorithms
โœ Michael Oberguggenberger, Alexander Ostermann (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><p>Mathematics and mathematical modelling are of central importance in computer science, and therefore it is vital that computer scientists are aware of the latest concepts and techniques.</p><p>This concise and easy-to-read textbook/reference presents an algorithmic approach to mathematical anal

Analysis for Computer Scientists: Founda
๐Ÿ“ Analysis for Computer Scientists: Foundations, Methods, and Algorithms
โœ Michael Oberguggenberger, Alexander Ostermann (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><p>Mathematics and mathematical modelling are of central importance in computer science, and therefore it is vital that computer scientists are aware of the latest concepts and techniques.</p><p>This concise and easy-to-read textbook/reference presents an algorithmic approach to mathematical anal

Analysis for Computer Scientists: Founda
๐Ÿ“ Analysis for Computer Scientists: Foundations, Methods, and Algorithms
โœ Michael Oberguggenberger, Alexander Ostermann ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Springer ๐ŸŒ English

This easy-to-follow textbook/reference presents a concise introduction to mathematical analysis from an algorithmic point of view, with a particular focus on applications of analysis and aspects of mathematical modelling. The text describes the mathematical theory alongside the basic concepts and me

Analysis for Computer Scientists: Founda
๐Ÿ“ Analysis for Computer Scientists: Foundations, Methods, and Algorithms
โœ Michael Oberguggenberger; Alexander Ostermann ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Springer ๐ŸŒ English

This easy-to-follow textbook/reference presents a concise introduction to mathematical analysis from an algorithmic point of view, with a particular focus on applications of analysis and aspects of mathematical modelling. The text describes the mathematical theory alongside the basic concepts and me