This repository contains projects implemented in python in the context of the course "Numerical optimization and large scale linear algebra" during the Msc. in Data Science at Athens University of ...
Abstract: A major challenge in the deployment of scientific software solutions is the adaptation of research prototypes to production-grade code. While high-level languages like MATLAB are useful for ...
Pure Python: We will use nested lists to represent and operate with vectors and matrices. NumPy: You will learn to work with arrays, which facilitates many operations and optimizes performance. By the ...
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Numerical Differentiation Made Simple With Python
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.
John C. Urschel is an assistant professor in the MIT Math Department and a Junior Fellow at the Harvard Society of Fellows. He previously played for the Baltimore Ravens. This interview has been ...
Abstract: We present an automatic verification process for formally proving the correctness of a class of greedy numerical linear algebra algorithms. To demonstrate our methodology, we present theorem ...
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