Results 11 to 20 of about 13,511,913 (89)
Computing the nearest euclidean distance matrix with low embedding dimensions [PDF]
, 2013 Euclidean distance embedding appears in many high-profile applications including wireless sensor network localization, where not all pairwise distances among sensors are known or accurate.
Qi, Hou-Duo, Yuan, Xiaoming, Qi, Hou Duo
core +1 more source
Frobenius–Padé approximants of |x| [PDF]
, 2016 We construct the Frobenius–Padé approximants of the function |x| in (−1,1) for the Chebyshev weight. These rational functions are linked with the Frobenius–Padé approximants of the function x in (0,1).
Bello-Hernández, M. [0000-0002-1833-4688] +2 more
core +1 more source
Zeitschrift für anorganische und allgemeine Chemie, Volume 652, Issue 14, 23 September 2026.In this study, we have investigated possible predicted polymorphs of magnesium oxide (MgO) with respect to their thermodynamic and kinetic stability, as well as their electronic properties, focusing on the possibility of tuning the band gap of the material.
D. Zagorac +4 more
wiley +1 more source
A solver for clustered low-rank SDPs arising from multivariate polynomial (matrix) programs
, 2021 In this thesis, we give a primal-dual interior point method specialized to clustered low-rank semidefinite programs. We introduce multivariate polynomial matrix programs, and we reduce these to clustered low-rank semidefinite programs.
Leijenhorst, Nando (author)
core
Low-Rank Methods for Radiation Transport Calculations
, 2023 This dissertation seeks to reduce the computational cost in radiation transport calculations using dynamical low-rank approximation (DLR) methods, a complexity reduction technique to approximate a tensor or a matrix with a reduced rank.
Zhuogang Peng (17675484)
core +1 more source
Generalized low-rank approximation to the symmetric positive semidefinite matrix
AIMS MathematicsIn this paper, we investigate the generalized low rank approximation to the symmetric positive semidefinite matrix in the Frobenius norm: $$\underset{ rank(X)\leq k}{\min} \sum^m_{i=1}\left \Vert A_i - B_i XB_i^T \right \Vert^2_F,$$ where $X$ is an unknown symmetric positive semidefinite matrix and $k$ is a positive integer. We firstly use the property
Chang, Haixia +2 more
openaire +2 more sources
Extrapolation methods for first order ordinary differential equations [PDF]
, 1980 Given a system of fist order differential equations, whose coefficient matrix has constant elements, with initial conditions specified, a family of extrapolating algorithms based on Pade approximants to the exponential function is developped.
Twizell, E H
core +4 more sources
Compile‐Once Block Encodings for Masked Similarity‐Transformed Effective Hamiltonians
Advanced Quantum Technologies, Volume 9, Issue 9, September 2026.Composer transforms structured electronic‐structure operators into a reusable quantum‐circuit fabric. Once compiled, the same block‐encoding architecture is re‐dialed through coefficients, rotation angles, and masks to generate similarity‐transformed effective Hamiltonians across related problem instances, avoiding repeated structural recompilation ...
Bo Peng, Yuan Liu, Karol Kowalski
wiley +1 more source
Dynamical low-rank training of neural networks [PDF]
, 2022 openNeural networks have achieved tremendous success in a large variety of applications. However, their space and time computational demand can limit their usage in resource limited devices. At the same time, overparametrization seems to be necessary in
ZANGRANDO, EMANUELE
core
An acoustic study on monophthongs in Central Australian Aboriginal English
World Englishes, Volume 45, Issue 3, Page 680-703, September 2026.Abstract We present an acoustic analysis of monophthongal vowel production in Central Australian Aboriginal English (CAAE), providing one of the first systematic examinations of this variety spoken by English‐as‐a‐first‐language (L1) speakers in Mparntwe/Alice Springs, Australia.
Yizhou Wang +4 more
wiley +1 more source