AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...
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 ...
Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
Abstract: The growing demand for high-capacity optical networks has driven the advancement of digital coherent optical communication systems, which rely on sophisticated signal processing to mitigate ...
Abstract: Dynamic variations in the critical parameters of the photovoltaic (PV) branch within PV-battery inverters considerably influence the precision of nonlinear compensation, requiring a ...
Mathematical optimisation is a formal framework for determining the best solution to a quantitative decision-making problem by maximising or minimising an objective function subject to** a set of ...
The DNLP package is an extension of CVXPY to general nonlinear programming (NLP). DNLP allows smooth functions to be freely mixed with nonsmooth convex and concave functions, with some rules governing ...
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