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Oberguggenberger / Ostermann

Analysis for Computer Scientists

Foundations, Methods, and Algorithms

Medium: Buch
ISBN: 978-0-85729-445-6
Verlag: Springer
Erscheinungstermin: 28.03.2011
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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 book’s webpage.


Produkteigenschaften


  • Artikelnummer: 9780857294456
  • Medium: Buch
  • ISBN: 978-0-85729-445-6
  • Verlag: Springer
  • Erscheinungstermin: 28.03.2011
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2011
  • Serie: Undergraduate Topics in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 1090 g
  • Seiten: 342
  • Format (B x H): 160 x 240 mm
  • Ausgabetyp: Kein, Unbekannt
  • Nachauflage: 978-3-319-91154-0
Autoren/Hrsg.

Autoren

Numbers.- Real-Valued Functions.- Trigonometry.- Complex Numbers.- Sequences and Series.- Limits and Continuity of Functions.- The Derivative of a Function.- Applications of the Derivative.- Fractals and L-Systems.- Antiderivatives.- Definite Integrals.- Taylor Series.- Numerical Integration.- Curves.- Scalar-Valued Functions of Two Variables.- Vector-Valued Functions of Two Variables.- Integration of Functions of Two Variables.- Linear Regression.- Differential Equations.- Systems of Differential Equations.- Numerical Solution of Differential Equations.