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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Oberguggenberger, Michael (Συγγραφέας), Ostermann, Alexander (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2011.
Σειρά:Undergraduate Topics in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.