Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, Sigmoid, and more. Perfect for machine learning enthusiasts and AI ...

Abstract: An extension of the CORDIC (coordinate rotation digital computer) algorithm that makes it possible to compute the functions cos/sup -1/, sin/sup -1/, square root 1-t/sup 2/, sinh/sup -1/ ...

They use the framework to compare polynomial interpolation, approximated sinc-functions, Gaussians, splines, and Kaiser-Bessel functions. The resulting algorithm is very fast, requiring 12.5 N/sup 2/ ...

In such calculations, in order to achieve high accuracy, the wave packet needs to be expanded in basis functions that explicitly depend on interparticle distances, such as all-particle explicitly ...

Part I develops the theory of pseudodifferential operators with real analytic symbols, the local representatives of which are linear differential operators of infinite order acting in the spaces of ...

Fractional quantum mechanics is a recently emerged and rapidly developing field of quantum physics. This is the first monograph on fundamentals and physical applications of fractional quantum ...

fs = 10000; t = 0:1/fs:0.1; fm = 50; fc = 500; A = 1; m = 0.5; message = cos(2 * pi * fm * t); carrier = A * cos(2 * pi * fc * t); am_signal = (1 + m * message ...

It uses hand-optimized assembly code to achieve much better performance then the equivalent functions provided by the Delphi RTL. This makes FastMath ideal for high-performance math-intensive ...

CONVOLUTION OPERATORS ON BANACH SPACE VALUED FUNCTIONS Proceedings of the National Academy of Sciences Vol. 48 No. 3 $20.00 Add to Cart Checkout ...

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