Vincent Knight
25,842 followers -
I'm a Third Culture Kid currently working as a lecturer in Operational Research at Cardiff University
I'm a Third Culture Kid currently working as a lecturer in Operational Research at Cardiff University

25,842 followers
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The effect of goats on the Monty hall problem: http://vknight.org/unpeudemath/math/2017/10/05/the-effect-of-goats.html

where I consider one modification of the Monty hall problem to simulate some probabilities and compare to an analytic formula :)
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A release of Nashpy with a couple of fixes but mainly a reference documentation for integer pivoting within the context of the Lemke Howson algorithm: http://nashpy.readthedocs.io/en/latest/reference/lemke-howson.html

This is all part of my rewrite of teaching resources but will hopefully also be of use to others.
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A release of Nashpy with a couple of fixes but mainly a reference documentation for integer pivoting within the context of the Lemke Howson algorithm: http://nashpy.readthedocs.io/en/latest/reference/lemke-howson.html

This is all part of my rewrite of teaching resources but will hopefully also be of use to others.
Post has attachment
A release of Nashpy with a couple of fixes but mainly a reference documentation for integer pivoting within the context of the Lemke Howson algorithm: http://nashpy.readthedocs.io/en/latest/reference/lemke-howson.html

This is all part of my rewrite of teaching resources but will hopefully also be of use to others.
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I've written a library that computes Nash equilibrium in two player games using just the scientific Python stack (numpy and scipy).

It is not aimed to be a replacement for gambit (which also has a Python api). It's first goal is "easy to install" which is why it's only dependencies are numpy and scipy.

Here's the documentation (with a tutorial, how-tos and reference documentation for the current two algorithms implemented): http://nashpy.readthedocs.io
Post has shared content
I've written a library that computes Nash equilibrium in two player games using just the scientific Python stack (numpy and scipy).

It is not aimed to be a replacement for gambit (which also has a Python api). It's first goal is "easy to install" which is why it's only dependencies are numpy and scipy.

Here's the documentation (with a tutorial, how-tos and reference documentation for the current two algorithms implemented): http://nashpy.readthedocs.io