Results 31 to 40 of about 4,479,797 (370)

Square-root topological semimetals [PDF]

Physical review B, 2020
We propose topological semimetals generated by the square-root operation for tight-binding models in two and three dimensions, which we call square-root topological semimetals.
T. Mizoguchi, Tsuneya Yoshida, Y. Hatsugai   +2 more
semanticscholar   +1 more source

Sparse Square Roots [PDF]

, 2013
We show that it can be decided in polynomial time whether a graph of maximum degree 6 has a square root; if a square root exists, then our algorithm finds one with minimum number of edges. We also show that it is FPT to decide whether a connected n-vertex graph has a square root with at most n − 1 + k edges when this problem is parameterized by k ...
Cochefert, M., Couturier, J-F., Golovach, P.A., Kratsch, D., Paulusma, D.   +4 more
openaire   +2 more sources

Approximate square-root-time relaxation in glass-forming liquids [PDF]

, 2007
We present data for the dielectric relaxation of 43 glass-forming organic liquids, showing that the primary (alpha) relaxation is often close to square-root-time relaxation.
Albena I. Nielsen, Barlow A. J., Bo Jakobsen, Davidson D. W., Doi M., Isakovich M. A., Isakovich M. A., Jeppe C. Dyre, Kremer F., Kristine Niss, Niels Boye Olsen, Ranko Richert, Tage Christensen   +12 more
core   +3 more sources

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
Global covariance pooling in convolutional neural networks has achieved impressive improvement over the classical first-order pooling. Recent works have shown matrix square root normalization plays a central role in achieving state-of-the-art performance.
P. Li, Jiangtao Xie, Qilong Wang, Zilin Gao   +3 more
semanticscholar   +1 more source

The extended study of 2-refined neutrosophic numbers [PDF]

Neutrosophic Sets and Systems
Numerical roots play a crucial role in real or complex equations, as well as in various mathematical models involving differentiation, integration, and other mathematical relationships.
Florentin Smarandache, Yaser Ahmad Alhasan, Abuobida Alfahal , Raja Abdullah Abdulfatah   +3 more
doaj   +1 more source

Fast Asymptotic Square Root for Two Types of Special Pentanomials

IEEE Access, 2019
Inspired by the Montgomery and generalized polynomial basis (GPB) squaring operation, we introduce and study the notion of asymptotic square root over binary extension fields GF(2m).
Yu Zhang, Yin Li, Qing Chen
doaj   +1 more source

Locality with staggered fermions [PDF]

, 2004
We address the locality problem arising in simulations, which take the square root of the staggered fermion determinant as a Boltzmann weight to reduce the number of dynamical quark tastes.
Bunk, B., Della Morte, M., Jansen, K., Knechtli, F.   +3 more
core   +2 more sources

Multiplicative derivations in $\vee$-hoop algebras [PDF]

Journal of Mahani Mathematical Research
In this paper, first, while introducing multiplicative derivations, we examine some properties of these derivations and present properties of multiplicative derivations in $\vee$-hoop algebras. Then we show that the set of multiplicative derivations on $\
Ali Madanshekaf, Mohammad Mahdi Motamedi Nezhad   +1 more
doaj   +1 more source

Square Roots of Operators [PDF]

Proceedings of the American Mathematical Society, 1953
Introduction. If H is a complex Hilbert space and if A is an operator on H (i.e., a bounded linear transformation of H into itself), under what conditions does there exist an operator B on H such that B2=A? In other words, when does an operator have a square root?
Halmos, Paul R., Lumer, Günter, Schäffer, Juan J.   +2 more
openaire   +1 more source

Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

, 2014
. Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a ...
T. Chai, R. Draxler
semanticscholar   +1 more source