IEEE

EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems

Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...
IEEE

Derivation of Certification-Based Admissibility Dashboard of NMPC Implementation Settings: Framework and Associated Python Package

Abstract: This brief presents a framework that delivers a certification-oriented dashboard of admissible nonlinear model predictive control (NMPC) implementation settings. This differs from the ...
GitHub

OMP4Py: a native Python implementation of OpenMP

OMP4Py is a Python library that provides an implementation of OpenMP, which is widely recognized as the standard programming model for exploiting multithreading parallelism in HPC. OMP4Py features a ...
heise online

Python Programming Language: Developing and Optimizing Performant Algorithms

If you are planning a trip through several cities and want to find the shortest route, you resort to algorithms, a well-defined sequence of deterministic operations. This article accompanies the ...
GitHub

Practice coding algorithms 100% offline with AI: generate problems, get hints, discuss solutions, and run code in JavaScript, TypeScript, or Python — no internet or setup ...

The desktop application provides the best experience with zero environment setup required. Simply download and run.
Hosted on MSN

How to implement stochastic gradient descent with momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Mike Johnson gives update on Jan. 6 plaque Alaska received 7 feet of snow, sinking ...