Explore advanced mathematical techniques with Mathematical Methods Spherical Coordinates Integrals and Computational Python. This video dives into spherical coordinate systems, integral calculus in ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Scientific computing in Python is typically fragmented across multiple specialized libraries such as NumPy, SciPy, SymPy, scikit-learn, and domain-specific toolkits for cryptography, optimization, and ...

Python physics explained: tides and their mathematical model. Learn how tidal forces work and how to model them step-by-step in Python using clean math, simple assumptions, and clear visual intuition.

Abstract: Mathematical optimization is the process of determining the set of globally or locally optimal parameters in a finite or infinite search space. It has been extensively employed in the ...

Abstract: To optimize the converter efficiency, footprint and volume of magnetic devices simultaneously, this paper proposes a mathematical modeling and multi-objective optimization method based on ...

ABSTRACT: To address the multicoupling effects of stress response in UAV landing gear during touchdown, this study employs a multivariate nonlinear regression approach for multi-objective optimization ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In our recently published article, we compared different ...

In this blog, we will discuss how Keysight RF Circuit Simulation Professional revamps RF circuit simulation and optimization. Discover how to achieve efficient, accurate designs for even the most ...

Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers. That, at least, is the theory behind mathematical ...