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  2. Regning og matematisk analyse
  3. Numerisk analyse

Analysis for Computer Scientists

- Foundations, Methods, and Algorithms
Af: Michael Oberguggenberger, Alexander Ostermann Engelsk Paperback

Analysis for Computer Scientists

- Foundations, Methods, and Algorithms
Af: Michael Oberguggenberger, Alexander Ostermann Engelsk Paperback
Tjek vores konkurrenters priser

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 methods of numerical analysis, enriched by computer experiments using MATLAB, Python, Maple, and Java applets. This fully updated and expanded new edition also features an even greater number of programming exercises.

Topics and features: describes the fundamental concepts in analysis, covering real and complex numbers, trigonometry, sequences and series, functions, derivatives, integrals, and curves; discusses important applications and advanced topics, such as fractals and L-systems, numerical integration, linear regression, and differential equations; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes added material on hyperbolic functions, curves and surfaces in space, second-order differential equations, and the pendulum equation (NEW); contains experiments, exercises, definitions, and propositions throughout the text; supplies programming examples in Python, in addition to MATLAB (NEW); provides supplementary resources at an associated website, including Java applets, code source files, and links to interactive online learning material.

Addressing the core needs of computer science students and researchers, this clearly written textbook is an essential resource for undergraduate-level courses on numerical analysis, and an ideal self-study tool for professionals seeking to enhance their analysis skills.

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Tjek vores konkurrenters priser
Normalpris
kr 478
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

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 methods of numerical analysis, enriched by computer experiments using MATLAB, Python, Maple, and Java applets. This fully updated and expanded new edition also features an even greater number of programming exercises.

Topics and features: describes the fundamental concepts in analysis, covering real and complex numbers, trigonometry, sequences and series, functions, derivatives, integrals, and curves; discusses important applications and advanced topics, such as fractals and L-systems, numerical integration, linear regression, and differential equations; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes added material on hyperbolic functions, curves and surfaces in space, second-order differential equations, and the pendulum equation (NEW); contains experiments, exercises, definitions, and propositions throughout the text; supplies programming examples in Python, in addition to MATLAB (NEW); provides supplementary resources at an associated website, including Java applets, code source files, and links to interactive online learning material.

Addressing the core needs of computer science students and researchers, this clearly written textbook is an essential resource for undergraduate-level courses on numerical analysis, and an ideal self-study tool for professionals seeking to enhance their analysis skills.

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Produktdetaljer
Sprog: Engelsk
Sider: 378
ISBN-13: 9783319911540
Indbinding: Paperback
Udgave:
ISBN-10: 3319911546
Kategori: Numerisk analyse
Udg. Dato: 6 nov 2018
Længde: 23mm
Bredde: 160mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 6 nov 2018
Forfatter(e): Michael Oberguggenberger, Alexander Ostermann
Forfatter(e) Michael Oberguggenberger, Alexander Ostermann

Kategori Numerisk analyse

ISBN-13 9783319911540

Sprog Engelsk

Indbinding Paperback

Sider 378

Udgave

Længde 23mm

Bredde 160mm

Højde 235mm

Udg. Dato 6 nov 2018

Oplagsdato 6 nov 2018

Forlag Springer International Publishing AG

Kategori sammenhænge