Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
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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 ...
Modified gravity framework exploring coherence-field coupling (ξRΦ²), curvature-EM coupling (κ_R RF²), and BSM parameter space (dark photon, axion). Validated 3D solver, null-result constraints, ...
The elemental imaging of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) provides spatial information on elements and therefore can further investigate the growth or evolution ...
Abstract: In this letter, to improve the calculation efficiency, a novel full-wave hybrid numerical method based on the finite-difference frequency domain method (FDFD) and the surface integral ...
Abstract: This paper exclusively focuses on the implementation of numerical methods, particularly the Bisection Method, Newton-Raphson Method, and Secant Method, for solving mathematical equations ...
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 ...
Latest update to Microsoft’s cloud-ready stack for building distributed applications also adds the ability to launch Python-based services. Microsoft has released .NET Aspire 8.1, an update to the ...
Inspired by path integral solutions to the quantum relaxation problem, we develop a numerical method to solve classical stochastic differential equations with multiplicative noise that avoids ...
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