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6.5 Fitting via Interpolation
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Landau Computational Physics Course - 6.5 Fitting via Interpolation

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20 learners

What you'll learn

This course includes

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

Summary

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Given a table of data containing independent and dependent values (such as temperature vs time). Interpolation is a technique for finding values of the dependent variable (temperature) when the desired independent value (time) lies between tabulated values. 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/ The YouTube playlist with all videos is at: https://www.youtube.com/playlist?list=PLnWQ_pnPVzmJnp794rQXIcwJIjwy7Nb2U 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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