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  1. Home
  2. Teaching
    • Tutorial 1

    • Session 1 (f(x)=0 by iterative methods)
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    • Session 2 (end of f(x)=0 and start of numpy/matplotlib)
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    • Session 3 (Ax=b: Gauss, LU, Cholesky)
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    Gauss_Elimination
    • Session 4 (LU Cholesky)
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    • Session 5 (Polynomial Interpolation)
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    • Session 6 (End of interpolation + integration)
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    • A note on conditioning

    • Tutorial 7 • Tutorial 8 • Tutorial 9

    • Statements and corrections (Google Drive link)

    • Tutorial 2 • Tutorial 3 • Tutorial 4 • Tutorial 5

    • Auxiliary notes for the course.
    • A note on the Student's law in R and an exercise.

    • A video to initiate the creation of a working file on RStudio:



    • A GeoGebra simulation to understand the least squares method on linear regression: