Results 21 to 30 of about 128,325 (262)

Reducing Memory Cost of Exact Diagonalization using Singular Value Decomposition [PDF]

open access: yes, 2011
We present a modified Lanczos algorithm to diagonalize lattice Hamiltonians with dramatically reduced memory requirements, {\em without restricting to variational ansatzes}. The lattice of size $N$ is partitioned into two subclusters.
/SLAC   +5 more
core   +2 more sources

Modeling walkability by remote sensing as latent walking speed extracted from multiple digital trail maps

open access: yesJournal of Spatial Information Science, 2022
Coordinating and managing teams searching for missing persons in wilderness areas is challenging. Local terrain characteristics and environmental conditions strongly influence how searchers accomplish their search tasks.
Ljiljana Šerić   +3 more
doaj   +1 more source

COMPRESSION OF PINWISE NUCLIDE CONCENTRATIONS IN CMS5 [PDF]

open access: yesEPJ Web of Conferences, 2021
Pinwise nuclide number density (ND) data from the lattice physics code CASMO5 is compressed using a preconditioned truncated singular value decomposition (TSVD) to reduce storage requirements.
Hykes Joshua
doaj   +1 more source

Research on Color Watermarking Algorithm Based on RDWT-SVD [PDF]

open access: yesJournal of Electrical and Computer Engineering Innovations, 2017
In this paper, a color image watermarking algorithm based on Redundant Discrete Wavelet Transform (RDWT) and Singular Value Decomposition (SVD) is proposed.
Y. Han, X. Cui, Y. Zhang, T. Xu
doaj   +1 more source

Differential gene expression in multiple neurological, inflammatory and connective tissue pathways in a spontaneous model of human small vessel stroke [PDF]

open access: yes, 2014
Aims: Cerebral small vessel disease (SVD) causes a fifth of all strokes plus diffuse brain damage leading to cognitive decline, physical disabilities and dementia.
Bailey, Emma L.   +8 more
core   +2 more sources

Recommendation Algorithm Using SVD and Weight Point Rank (SVD-WPR)

open access: yesBig Data and Cognitive Computing, 2022
One of the most prevalent recommendation systems is ranking-oriented collaborative filtering which employs ranking aggregation. The collaborative filtering study recently applied the ranking aggregation that considers the weight point of items to achieve a more accurate recommended ranking.
Triyanna Widiyaningtyas   +2 more
openaire   +2 more sources

Ludwig von Mises’s Praxeology as the Foundation of Christian Economic Personalism

open access: yesStudies in Logic, Grammar and Rhetoric, 2019
What can an economist and agnostic tell a theologian about man? In contrast to mainstream economics, which today dominate all universities in the world, Ludwig von Mises (+1973) is interested in real man in action, not a fictitious homo oeconomicus.
SVD Jacek Gniadek
doaj   +1 more source

Studi Identifikasi Struktur Geologi Bawah Permukaan Untuk Mengetahui Sistem Sesar Berdasarkan Analisis First Horizontal Derivative (FHD), Second Vertical Derivative (SVD), Dan 2,5D Forward Modeling Di Daerah Manokwari Papua Barat

open access: yesJGE, 2020
In general, Manokwari has a geological structure that is in the form of a folding area found in the highlands of the mountains. Among the creases, there is a fault up and the fault down. In coastal or marine areas found many reefs and corals.
Ahmad Zaenudin, Shiska Yulistina
doaj   +1 more source

The Hessian biased singular value decomposition method for optimization and analysis of force fields [PDF]

open access: yes, 1996
We present methodology (HBFF/SVD) for optimizing the form and parameters of force fields (FF) for molecular dynamics simulations through utilizing information about properties such as the geometry, Hessian, polarizability, stress (crystals), and elastic ...
Dasgupta, Siddharth   +2 more
core   +1 more source

Fast approximate truncated SVD

open access: yesNumerical Linear Algebra with Applications, 2019
SummaryThis paper presents a new method for the computation of truncated singular value decomposition (SVD) of an arbitrary matrix. The method can be qualified as deterministic because it does not use randomized schemes. The number of operations required is asymptotically lower than that using conventional methods for nonsymmetric matrices and is at a ...
Serge L. Shishkin   +2 more
openaire   +3 more sources

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