Ci-dessous, les différences entre deux révisions de la page.
| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente Prochaine révisionLes deux révisions suivantes |
| teaching:methcalchim:start [2019/05/13 11:45] – [Miscellaneous] villersd | teaching:methcalchim:start [2020/06/02 03:08] – [Classical numerical methods] villersd |
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| === Chebyshev approximation === | === Chebyshev approximation === |
| + discussion of some approximations like [[wp>Bhaskara_I's_sine_approximation_formula|Bhaskara I's sine approximation formula]] | + discussion of some approximations like [[wp>Bhaskara_I's_sine_approximation_formula|Bhaskara I's sine approximation formula]] |
| | * [[https://twitter.com/fermatslibrary/status/1267450081151782913]] |
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| === Molecules modelisation and visualization === | === Molecules modelisation and visualization === |
| * [[http://pubs.acs.org/doi/10.1021/acs.jchemed.7b00395|Introduction to Stochastic Simulations for Chemical and Physical Processes: Principles and Applications]] Charles J. Weiss, Journal of Chemical Education 2017 94 (12), 1904-1910 DOI: 10.1021/acs.jchemed.7b00395 | * [[http://pubs.acs.org/doi/10.1021/acs.jchemed.7b00395|Introduction to Stochastic Simulations for Chemical and Physical Processes: Principles and Applications]] Charles J. Weiss, Journal of Chemical Education 2017 94 (12), 1904-1910 DOI: 10.1021/acs.jchemed.7b00395 |
| * [[https://medium.freecodecamp.org/an-overview-of-the-gradient-descent-algorithm-8645c9e4de1e|An overview of the Gradient Descent algorithm]] | * [[https://medium.freecodecamp.org/an-overview-of-the-gradient-descent-algorithm-8645c9e4de1e|An overview of the Gradient Descent algorithm]] |
| | * [[https://towardsdatascience.com/building-a-logistic-regression-in-python-step-by-step-becd4d56c9c8|Building A Logistic Regression in Python, Step by Step]] |
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