This repository describes the application of numerical Collocation method in Machine Learning as a Supervised learning algorithm
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Updated
Jul 8, 2019 - Python
This repository describes the application of numerical Collocation method in Machine Learning as a Supervised learning algorithm
The project aims to research and develop a python package to solve PDEs using the Collocation Method with Radial Basis Functions (RBF). This a project done for the Centro de Investigación en Computación of the Instituto Politénico Nacional under the supervision of Dr. Juan Carlos Chimal Eguía.
Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
Collocation methods for trajectory optimization for second or higher order systems.
Fast American option pricing using spectral collocation method based on integral form. An independent Crank Nicolson method is included for comparison.
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