Results 121 to 130 of about 1,179,942 (315)

High-Throughput FPGA Implementation of QR Decomposition

, 2015
Munoz, S.D.; Hormigo, J. "High-Throughput FPGA Implementation of QR Decomposition" IEEE Transactions on in Circuits and Systems II: Express Briefs,vol.62, no.9, pp.861-865, Sept.
Muñoz, Sergio D., Hormigo-Aguilar, Javier   +1 more
core  

Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics

Computer Graphics Forum, EarlyView.
Abstract Linear reduced‐order modeling (ROM) is widely used for efficient simulation of deformation dynamics, but its accuracy is often limited by the fixed linearization of the reduced mapping. We propose a new adaptive strategy for linear ROM that allows the reduced mapping to vary dynamically in response to the evolving deformation state ...
Y. Tao, M. Chiaramonte, P. Fernandez
wiley   +1 more source

On the Application of the Incomplete QR Algorithm to the Analysis of Microstrip Antennas [PDF]

Radioengineering, 2016
In this paper, we provide some insight into the usage of fast, iterative, method-of-moments (MoM) solution of integral equations (IE) describing antennas and other metallic structures immersed in a planar multilayered environment.
P. Gluchowski, A. A. Kucharski
doaj  

Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients

Computer Graphics Forum, EarlyView.
Abstract Most real‐time animation techniques for digital humans are limited to deforming the outer skin surface. Geometric skinning methods are highly efficient but struggle with artifacts such as collapsing joints or self‐intersections when animating inner anatomy along with the outer skin.
G. Nolte, F. Kemper, U. Schwanecke, M. Botsch   +3 more
wiley   +1 more source

Thriving in Nursing Work: The Association Between Self‐Reports and Biomarkers of Stress, Inflammation and Neuroplasticity

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To examine whether self‐reported thriving at work is associated with biomarkers of stress, inflammation, neuroplasticity and neurodegeneration in nurses. Design A cross‐sectional study. Methods An online questionnaire measuring thriving at work was administered to nurses in a teaching hospital in Michigan, U.S. over 5 weeks in 2024.
Judith E. Arnetz, Eamonn Arble, Jackeline Iseler, Michelle Pena, Nicolina Evola, John Vanschagen, John S. Beck, Scott E. Counts, Bengt B. Arnetz   +8 more
wiley   +1 more source

Mixing It Up: Inflation at Risk

Journal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

What Are The Drivers of Labor Productivity in Italy?

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT This paper introduces a novel sign restriction identification within a structural Bayesian vector autoregression (VAR) to analyse how labour productivity responds to supply and demand shocks and to quantify the contribution of shocks to cyclical fluctuations.
Josué Diwambuena, Francesco Ravazzolo
wiley   +1 more source

DEEP NEURAL NETWORK-BASED APPROACH FOR COMPUTING SINGULAR VALUES OF MATRICES

Science Journal of University of Zakho
Matrix factorization techniques, such as Singular Value Decomposition (SVD), Eigenvalue Decomposition (EVD), and QR decomposition, have long been pivotal in computational mathematics, particularly for applications in signal processing, machine learning,
Diyari A. Hassan
doaj   +1 more source

Generalizations Of The Singular Value And QR Decomposition

, 1992
In this paper, we discuss multi-matrix generalizations of two well-known orthogonal rank factorizations of a matrix: the generalized singular value decomposition and the generalized QR-(or URV-) decomposition.
Bart De Moor, Paul Van Dooren, De Moor, B., Van Dooren, Paul   +3 more
core  

Inference on Common Trends in a Cointegrated Nonlinear SVAR

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT We consider the problem of performing inference on the number of common stochastic trends when data is generated by a cointegrated CKSVAR (a two‐regime, piecewise affine SVAR; Mavroeidis, 2021), using a modified version of the Breitung (2002) multivariate variance ratio test that is robust to the presence of nonlinear cointegration (of a known
James A. Duffy, Xiyu Jiao
wiley   +1 more source