Published 2 hours ago by Chase Coleman in Python
One of the most used optimization algorithms of today is the Nelder-Mead algorithm. It has become a core muscle in many programming languages' minimization techniques, including being the default for both Matlab and Scipy's fmin function.
Published 4 hours ago by Daisuke Oyama in Julia
This notebook demonstrates the functionalities of the game_theory module.
Published 1 day ago by Tyler Ransom in Julia
With our knowledge of the DataFrames package, we can use Julia to estimate common regression models which are useful in summarizing and describing data.
Published 5 days ago by John Stachurski in Python
This is a fast-paced, hands-on introduction to scientific computing with Python, contained in a Jupyter notebook. The main focus will be on introducing Python's four most important scientific libraries: NumPy, Scipy, Pandas and Matplotlib.
Published 2 weeks ago by David R. Pugh in Python
This notebook demonstrates how to solve initial value problems (IVPs) using the quantecon Python library. Before demonstrating how one might solve an IVP using quantecon, I provide formal definitions for ordinary differential equations (ODEs) and initial value problems (IVPs), as well as a short discussion of finite-difference methods that will be used to solve IVPs.
Published 1 month ago by Thomas J. Sargent in Python
And that Abraham Wald solved by inventing sequential analysis
Published 1 month ago by SeHyoun Ahn in Python
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua..
Published 2 months ago by Daisuke Oyama in Python
This notebook demonstrates how to analyze finite-state Markov chains with the MarkovChain class. For basic concepts and properties on Markov chains
Published 4 months ago by Chase Coleman in Python
This notebook demonstrates how to analyze finite-state Markov chains with the MarkovChain class. For basic concepts and properties on Markov chains
Published 1 year ago by Joao Brogueira in Python
This note describes why and how we modified the computer code of the original lucastree.py module.
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