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Paul Liautaud
Paul Liautaud
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Python HEC
  • Chapter 0 - Preliminaries
  • Chapter 1 - Starter & Data Structures
  • Chapter 2 - Numpy & Plots
  • Chapter 3 - Integration
  • Chapter 4 - Zeros of Functions
  • Chapter 5 - Linear Algebra
  • Chapter 6 - Linear Algebra 2
  • Chapter 7 - Random Variables & Simulations
  • Chapter 8 - Random Variables & Inversion Method
  • Chapter 9 - Random Variables with Density & Inversion Method
  • Chapter 10 - Univariate Statistics
  • Chapter 11 - Bivariate Statistics & Regression
  • Chapter 12 - Monte Carlo Method
  • Chapter 13 - Multivariate Functions
  • Contents

Chapter 5 - Linear Algebra


📖 You can run the practical here or download it there.
⚠️ In case you directly run it on the net, do save your work locally on your machines, otherwise it will be lost!


Notions:

  • direct solving method (LU decomposition)
  • in place algorithm
  • sequential methods (“iterated power”)
Python Eigen Vectors Matrix Numpy Algebra Exponential
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Chapter 4 - Zeros of Functions
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Chapter 6 - Linear Algebra 2

Last updated on Sep 28, 2022

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