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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 :)

where I consider one modification of the Monty hall problem to simulate some probabilities and compare to an analytic formula :)

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Allocating student to final year projects using linear programming (with Python implementation): http://vknight.org/unpeudemath/math/2017/09/26/allocating-final-year-projects-to-students.html

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***Sophisticated IPD strategies beat simple ones***

A blog post about two recent preprints +Marc Harper, +Owen Campbell +Nikoleta-v3 and two others published to the arxiv.

http://vknight.org/unpeudemath/math/2017/07/28/sophisticated-ipd-strategies-beat-simple-ones.html

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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.

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.

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.

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

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

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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

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

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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

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

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