34 citations · 91 across the 12 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cond-mat.supr-con2016★ 11 cited
Reduced-Shifted Conjugate-Gradient Method for a Green's Function: Efficient Numerical Approach in a Nano-structured Superconductor
Yuki Nagai, Yasushi Shinohara, Yasunori Futamura +1
We propose the reduced-shifted Conjugate-Gradient (RSCG) method, which is numerically efficient to calculate a matrix element of a Green's function defined as a resolvent of a Hami…
cs.LG2016★ 1 cited
Alternating optimization method based on nonnegative matrix factorizations for deep neural networks
Tetsuya Sakurai, Akira Imakura, Yuto Inoue +1
The backpropagation algorithm for calculating gradients has been widely used in computation of weights for deep neural networks (DNNs). This method requires derivatives of objectiv…