Analysis for Computer Scientists Foundations, Methods, and Algorithms /

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. This concise and easy-to-read textbook/reference presents an algorithmic approach to mathematical analysis, with a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Oberguggenberger, Michael (Autor), Ostermann, Alexander (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Undergraduate Topics in Computer Science,
Temas:
Computer science > Mathematics.
Mathematics > Data processing.
Engineering mathematics.
Engineering > Data processing.
Discrete mathematics.
Mathematical Applications in Computer Science.
Computational Mathematics and Numerical Analysis.
Mathematical and Computational Engineering Applications.
Discrete Mathematics in Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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