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5.1 Numerical Differentiation
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Landau Computational Physics Course - 5.1 Numerical Differentiation

4.0 (3)
20 learners

What you'll learn

This course includes

  • 31 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

Taking derivatives on the computer is easy, but error prone. An important lecture since these techniques are at the heart of many algorithms. This is just one of 61 Lectures covering a full one-year Course in Computational Physics previously taught by Rubin Landau at Oregon State University. (The number refers to the chapter and section in reference 1 below.) There are video modules (Flash), slides, codes, quizzes, and all the lectures at: http://sites.science.oregonstate.edu/~landaur/Books/CPbook/eBook/Lectures/ References: 1. Computational Physics, 3rd Ed, Problem Solving with Python, Rubin H Landau, Manuel J Paez & Cristian Bordeianu (deceased), © Wiley 2015. 2. A Survey of Computational Physics with Java, Rubin H Landau, Manuel J Paez & Cristian Bordeianu (deceased), © Princeton University Press, 2008.

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