Results 11 to 20 of about 1,001,118 (309)
Frame Decomposition of Decomposition Spaces [PDF]
Journal of Fourier Analysis and Applications, 2007 A new construction of tight frames for $L_2({\Bbb R}^d)$ with flexible time-frequency localization is considered. The frames can be adapted to form atomic decompositions for a large family of smoothness spaces on
Borup, Lasse +1 more
openaire +1 more source
Inequality Decompositions - A Reconciliation [PDF]
SSRN Electronic Journal, 2008 We show how classic source-decomposition and subgroup-decomposition meth ods can be reconciled with regression methodology used in the recent liter ature. We also highlight some pitfalls that arise from uncritical use of the regression approach. The LIS database is used to compare the approaches using an analysis of the changing contributions to ...
COWELL, FRANK, FIORIO, CARLO
openaire +8 more sources
Lu Decomposition and Toeplitz Decomposition of a Neural Network
SSRN Electronic Journal, 2022 It is well-known that any matrix $A$ has an LU decomposition. Less well-known is the fact that it has a 'Toeplitz decomposition' $A = T_1 T_2 \cdots T_r$ where $T_i$'s are Toeplitz matrices. We will prove that any continuous function $f : \mathbb{R}^n \to \mathbb{R}^m$ has an approximation to arbitrary accuracy by a neural network that takes the form ...
Yucong Liu, Simiao Jiao, Lek-Heng Lim
openaire +2 more sources
Distributed asynchronous algorithms in the Internet – new routing and traffic control methods
Journal of Telecommunications and Information Technology, 2005 The paper presents several new algorithms concerning the third (network) and the fourth (transport) layer of ISO/OSI network model. For the third layer two classes of the shortest paths algorithms – label correcting and auction algorithms – are proposed.
Andrzej Karbowski
doaj +1 more source
Predicting the Postmortem Interval Based on Gravesoil Microbiome Data and a Random Forest Model
Microorganisms, 2022 The estimation of a postmortem interval (PMI) is particularly important for forensic investigations. The aim of this study was to assess the succession of bacterial communities associated with the decomposition of mouse cadavers and determine the most ...
Chunhong Cui +10 more
doaj +1 more source
Decomposition into Cycles I: Hamilton Decompositions [PDF]
, 1990 In this part we survey the results concerning the partitions of the edge-set of a graph into Hamilton cycles or into Hamilton cycles and a single perfect matching.
Alspach, Brian +2 more
openaire +2 more sources
AGI’s Hierarchical Component Approach to Unsolvable by Direct Statistical Methods Complex Problems
Engineering Proceedings, 2023 The amazing deep neural network (DNN) advances over the past 10 years have made it possible, if there is enough data and computing power, to achieve solutions to unexpectedly complex problems.
Vladimir Smolin, Sergey Sokolov
doaj +1 more source
Complex Systems Informatics and Modeling Quarterly, 2016 Modeling is one of the most important parts of requirements engineering. Most modeling techniques focus primarily on their pragmatics and pay less attention to their syntax and semantics.
Theo van der Weide +2 more
doaj +1 more source
Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model
Yuanzineng kexue jishu, 2023 In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model ...
In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model.
doaj
Alcohol consumption patterns of the Hungarian general and Roma populations
Frontiers in Public Health, 2023 IntroductionHarmful alcohol use is a significant public health problem worldwide, though the alcohol-related burden affects disproportionately certain populations and ethnic minorities, with the WHO European Region being the most heavily affected and ...
Ali Abbas Mohammad Kurshed +9 more
doaj +1 more source