A Gentle Introduction to Scientific Computing
eBook - ePub

A Gentle Introduction to Scientific Computing

  1. 288 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

A Gentle Introduction to Scientific Computing

About this book

Scientific Computation has established itself as a stand-alone area of knowledge at the borderline between computer science and applied mathematics. Nonetheless, its interdisciplinary character cannot be denied: its methodologies are increasingly used in a wide variety of branches of science and engineering.

A Gentle Introduction to Scientific Computing intends to serve a very broad audience of college students across a variety of disciplines. It aims to expose its readers to some of the basic tools and techniques used in computational science, with a view to helping them understand what happens "behind the scenes" when simple tools such as solving equations, plotting and interpolation are used.

To make the book as practical as possible, the authors explore their subject both from a theoretical, mathematical perspective and from an implementation-driven, programming perspective.

Features

  • Middle-ground approach between theory and implementation.
  • Suitable reading for a broad range of students in STEM disciplines. Could be used as the primary text for a first course in scientific computing.
  • Introduces mathematics majors, without any prior computer science exposure, to numerical methods.
  • All mathematical knowledge needed beyond Calculus (together with the most widely used Calculus notation and concepts) is introduced in the text to make it self-contained.

The erratum document for A Gentle Introduction to Scientific Computing can be accessed here.

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Yes, you can access A Gentle Introduction to Scientific Computing by Dan Stanescu,Long Lee in PDF and/or ePUB format, as well as other popular books in Computer Science & Mathematical Analysis. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. 1 Introduction
  9. 2 Vectors and Matrices
  10. 3 Basics of MATLAB®
  11. 4 Solving Nonlinear Equations
  12. 5 Systems of Equations
  13. 6 Approximation of Functions
  14. 7 Numerical Differentiation
  15. 8 Numerical Optimization
  16. 9 Numerical Quadrature
  17. 10 Numerical Solution of Differential Equations
  18. Appendix A Calculus Refresher
  19. Appendix B Introduction to Octave
  20. Appendix C Introduction to Python
  21. Appendix D Introduction to Julia
  22. Appendix E Hints and Answers for Selected Exercises
  23. Bibliography
  24. Index