Results 121 to 130 of about 54,650 (190)
Multithread Approximation: An OpenMP Constructor
ABSTRACT This study introduces an OpenMP construct designed to simplify and unify the integration of approximate computing techniques into shared‐memory parallel programs. Approximate Computing leverages the inherent error tolerance of many applications to trade computational accuracy for gains in performance and energy efficiency.
João Briganti de Oliveira +2 more
wiley +1 more source
Double BFV Quantisation of 3D Gravity. [PDF]
Canepa G, Schiavina M.
europepmc +1 more source
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi +2 more
wiley +1 more source
The Category of Anyon Sectors for Non-Abelian Quantum Double Models. [PDF]
Bols A +3 more
europepmc +1 more source
Dynamic causal modelling of working memory fMRI in individuals with Neurofibromatosis Type 1 (NF1) revealed altered frontoparietal connectivity. NF1 participants showed increased endogenous self‐connectivity in left dlPFC and IPG. During working memory, NF1 participants showed increased self‐connectivity in left vlPFC but decreased self‐connectivity in
Marta C. Litwińczuk +3 more
wiley +1 more source
On the smooth locus of affine Schubert varieties. [PDF]
Pappas G, Zhou R.
europepmc +1 more source
Multicomplexes on Carnot Groups and Their Associated Spectral Sequence. [PDF]
Lerario A, Tripaldi F.
europepmc +1 more source
Solvability of invariant systems of differential equations on H2$\mathbb {H}^2$ and beyond
Abstract We show how the Fourier transform for distributional sections of vector bundles over symmetric spaces of non‐compact type G/K$G/K$ can be used for questions of solvability of systems of invariant differential equations in analogy to Hörmander's proof of the Ehrenpreis–Malgrange theorem.
Martin Olbrich, Guendalina Palmirotta
wiley +1 more source
Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]
Papillon M +10 more
europepmc +1 more source
ABSTRACT Examining the extent to which measurements of rotation matrices are close to each other is challenging due measurement noise. To overcome this, data is typically smoothed, and the Riemannian and Euclidean metrics are applied. However, if rotation matrices are not directly measured and are instead formed by eigenvectors of measured symmetric ...
P. D. Ledger +2 more
wiley +1 more source

