Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts! ...

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 ...

Every day, researchers search for optimal solutions. They might want to figure out where to build a major airline hub. Or to determine how to maximize return while minimizing risk in an investment ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

Abstract: In this paper, we present an adaptation of Newton's method for the optimization of Subspace Support Vector Data Description (S-SVDD). The objective of S-SVDD is to map the original data to a ...

Using a generalization of Newton's method, a non-linear parabolic equation of the form ut - uxx = g(u), and a non-linear elliptic equation uxx + uyy = eu, are solved numerically. Comparison of these ...

Code for the DEQ experiments of the ICLR 2022 spotlight "SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models" ...

Implementation of optimization algorithms in python including: Armijo rule , Conjugated direction , Conjugated gradient , Gradient method , Globally Convergent Newton Method , Quasi Newton Method , ...

Community driven content discussing all aspects of software development from DevOps to design patterns. I recently recently compared Java’s REPL scripting environment to Python’s. Many detractors felt ...