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 ...
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 ...
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Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This kind of control will be a key factor in energy efficiency, allowing ...
Nonlinear optics is the study of how intense light interacts with matter. The optical response of a material usually scales linearly with the amplitude of the electric field. At high powers, however, ...
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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