Verwandte Artikel zu Analysis for Computer Scientists: Foundations, Methods,...
Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science) - Softcover
Inhaltsangabe
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Dr. Michael Oberguggenberger is a professor in the Unit of Engineering Mathematics at the University of Innsbruck, Austria.
Dr. Alexander Ostermann is a professor in the Department of Mathematics at the University of Innsbruck, Austria.
Von der hinteren Coverseite
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.
Dr. Michael Oberguggenberger is a professor in the Unit of Engineering Mathematics at the University of Innsbruck, Austria. Dr. Alexander Ostermann is a professor in the Department of Mathematics at the University of Innsbruck, Austria.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 47,23
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Analysis for Computer Scientists: Foundations, Methods,...
Beispielbild für diese ISBN
Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science) [Paperback] Oberguggenberger, Michael and Ostermann, Alexander
Anbieter: SpringBooks, Berlin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Softcover. Zustand: Very Good. 2. Auflage. unread, cover with shelfwear or minor damages. Bestandsnummer des Verkäufers CE-2307C-WISENT-06-1000XS
Anzahl: 1 verfügbar
Foto des Verkäufers
Analysis for Computer Scientists
Verlag:
Springer International Publishing, 2018
ISBN 10: 3319911546
ISBN 13: 9783319911540
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis   Makes thorough use of examples and explanations using MATLAB, Maple, and Java applets  Describes mathe. Bestandsnummer des Verkäufers 220289813
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Analysis for Computer Scientists: Foundations, Methods, and Algorithms
Verlag:
Springer International Publishing AG, Switzerland, 2018
ISBN 10: 3319911546
ISBN 13: 9783319911540
Gebraucht
Paperback
Anbieter: PsychoBabel & Skoob Books, Didcot, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. Paperback in very good condition. Small bump to lower edge of front cover, leading into the page block. Covers are clean, binding is sound and content is as unread. LW. Bestandsnummer des Verkäufers 611065
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Analysis for Computer Scientists
Anbieter: Basi6 International, Irving, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verkäufers ABEJUNE24-21658
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Analysis for Computer Scientists
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Bestandsnummer des Verkäufers ABNR-243212
Anzahl: 2 verfügbar
Foto des Verkäufers
Analysis for Computer Scientists : Foundations, Methods, and Algorithms
ISBN 10: 3319911546
ISBN 13: 9783319911540
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783319911540
Anzahl: 1 verfügbar
Foto des Verkäufers
Analysis for Computer Scientists
ISBN 10: 3319911546
ISBN 13: 9783319911540
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch. Bestandsnummer des Verkäufers 9783319911540
Anzahl: 2 verfügbar
Foto des Verkäufers
Analysis for Computer Scientists
Verlag:
Springer International Publishing Nov 2018, 2018
ISBN 10: 3319911546
ISBN 13: 9783319911540
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 392 pp. Englisch. Bestandsnummer des Verkäufers 9783319911540
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Analysis for Computer Scientists
Anbieter: SMASS Sellers, IRVING, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. Bestandsnummer des Verkäufers ASNT3-243212
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9783319911540_new
Anzahl: Mehr als 20 verfügbar