GitHub

The complex-step derivative approximation

This is a short library that implements the complex-step derivative approximation algorithm for the computation of the N-derivative of an N-dimension function. This repository also includes the ...
GitHub

A simple and highly-extensible computational graph library written in C++.

$${\color{Gray}f({\color{Emerald}a},{\color{Orange}b}) = \sin({\color{Emerald}a} + {\color{Orange}b})}$$ You can use .getGrad along with a node name to get the ...
JSTOR Daily

A FORMULA FOR THE DERIVATIVE OF THE p-ADIC L-FUNCTION OF THE SYMMETRIC SQUARE OF A FINITE SLOPE MODULAR FORM

American Journal of Mathematics, Vol. 138, No. 3 (June 2016), pp. 821-878 (58 pages) Let f be a modular form of weight k and Nebentypus ψ. By generalizing a construction of Dabrowski and Delbourgo, we ...
Oak Ridge National Lab

Derivative-based pre-training of graph neural networks for materials property predictions

While pre-training has transformed many fields in deep learning tremendously, its application to three-dimensional crystal structures and materials science remains limited and under-explored. In ...
Scientific Research Publishing

Effect of Asymmetric Finite Difference Formulas on the Orders of Central Difference Approximations for the Second Derivative of a Periodic Function ()

1 Département de Physique, Faculté des Sciences, Université du Burundi, Bujumbura, Burundi. 2 Software Engineering, College of Software, Nankai University, Tianjin, China. 3 Faculté des Sciences de ...
IEEE

Tianyi Qu

Additive Noise,Cognitive Networks,Cognitive Radio,Interference Alignment,Simulation Results,Wireless Networks,Attention Mechanism,Attention Scores,Auction,Base ...