These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

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 ...

A number machine is a way of writing rules using a flow diagram. The equation \(3j - 6 = 9\) can be shown on a number machine by writing out the functions that have been applied to \(j\) in the order ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

The Saint Louis University Department of Computer Science is committed to the development and study of computing technologies for the greater good of humanity. SLU offers bachelor's, master's and ...

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...

Algorithm: Pineau, J., Gordon, G., & Thrun, S. (2003, August). Point-based value iteration: An anytime algorithm for POMDPs. In IJCAI (Vol. 3, pp. 1025-1032 ...

Abstract: This article presents a very large-scale integration (VLSI)-based multirun decremental annealing (MRDA) accelerator for solving combinatorial optimization problems (COPs). The proposed Ising ...