Lessons in Scientific Computing : Numerical Mathematics, Computer Technology, and Scientific Discovery / by Norbert Schorghofer.

Lessons in Scientific Computing : Numerical Mathematics, Computer Technology, and Scientific Discovery /

Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods, computer technology, and their interconnections, which are treated with the goal of facilitating scientific research across all disciplines. Each chapter provides...

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Bibliographic Details
Main Author: Schorghofer, Norbert (Author)
Corporate Author: Taylor and Francis
Format: Electronic eBook
Language:English
Published: Boca Raton, FL : CRC Press, [2018]
Edition:First edition.
Subjects:
Science > Mathematics > Data processing.
Numerical analysis > Data processing.
Electronic books.
Online Access: Full text (WIT users only)
Table of Contents:
  • Chapter 1
  • Analytical and Numerical Solutions
  • Chapter2
  • A Few Concepts from Numerical Analysis
  • Chapter 3
  • Roundoff and Number Representation
  • Chapter 4
  • Programming Languages and Tools
  • Chapter 5
  • Sample Problems; Building Conclusions
  • Chapter6
  • Approximation Theory
  • Chapter7
  • Other Common Computational Methods
  • Chapter8
  • Performance Basics and Computer Architectures
  • Chapter9
  • High-Performance and Parallel Computing
  • Chapter10
  • The Operation Count; Numerical Linear Algebra
  • Chapter11
  • Random Numbers and Stochastic Methods
  • Chapter12
  • Algorithms, Data Structures, and Complexity
  • Chapter13
  • Data
  • Chapter14
  • Building Programs for Computation and Data Analysis
  • Chapter15--. Crash Course on Partial Differential Equiations
  • Chapter16--. Reformulated Problems

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