Analysis for computer scientists: foundations, methods, and algorithms

Analysis for computer scientists: foundations, methods, and algorithms

Oberguggenberger, Michael
Ostermann, Alexander

36,35 €(IVA inc.)

This textbook presents an algorithmic approach to mathematical analysis, witha 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. Presents an algorithmic approach to mathematical analysis, with a focus onmodelling and on the applications of analysis. Makes thorough use of examplesand explanations using MATLAB, Maple, and Java applets. Describes mathematical theory alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises. INDICE: 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.

  • ISBN: 978-0-85729-445-6
  • Editorial: Springer London
  • Encuadernacion: Rústica
  • Páginas: 327
  • Fecha Publicación: 01/04/2011
  • Nº Volúmenes: 1
  • Idioma: Inglés