Results 41 to 50 of about 24,609 (137)
Modified method large sparse unstructured matrices processing on reconfigurable computing systems
Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie)При обработке матриц большой размерности c нерегулярной структурой реальная производительность кластерных многопроцессорных вычислительных систем (МВС) невелика и даже с применением специальных методов обработки не превышает 30%. Для эффективной обработки больших матриц с нерегулярной структурой возможно использовать реконфигурируемые вычислительные ...
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Journal of Computational AlgebraThe time-fractional Kuramoto-Sivashinsky equation (TF-K-SE) models chaotic dynamics with memory effects, necessitating advanced computational techniques for stability and accuracy.
A.N. Nirmala, S. Kumbinarasaiah
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Numerical approximation of Volterra integral equations with highly oscillatory kernels
Results in Applied MathematicsThe Volterra integral equations (VIEs) with oscillatory kernels arise in several applied problems and need to be treated with a computational method have multiple characteristics. In the literature (Zaheer-ud-Din et al., 2022; Li et al., 2012), the Levin
Suliman Khan
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Interpretable STAP Algorithm Based on Deep Convolutional Neural Network
Leida xuebaoIn practical settings, the efficacy of Space-Time Adaptive Processing (STAP) algorithms relies on acquiring sufficient Independent Identically Distributed (IID) samples.
Zhipeng LIAO +4 more
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Geo-spatial Information ScienceSystem noise poses significant challenges for image quality and data analysis in satellite imaging. This paper addresses the issue of system noise removal in area-array satellite images, highlighting the limitations of existing methods that aggregate ...
Tianzhen Wan, Jun Pan, Mi Wang
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Astronomy & AstrophysicsSymBoltz is a new Julia package for solving the linear Einstein-Boltzmann equations in cosmology. It features a symbolic-numeric interface for specifying equations, is free of approximation switching schemes, and is compatible with automatic ...
Sletmoen Herman
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watson: An R Package for Fitting Mixtures of Watson Distributions
Journal of Statistical SoftwareIn this paper we present and showcase the R package watson which provides a computational framework for fitting and random sampling of the Watson distribution on a p-dimensional sphere.
Lukas Sablica +2 more
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IEEE AccessSparse Matrix-Dense Matrix Multiplication (SpMM) is a dominant computational bottleneck in Graph Neural Network (GNN) inference and training. Representative studies report that SpMM consumes roughly 30% of the execution time in some Graph Convolutional ...
Tariq Habib Afridi +2 more
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Finite Element Method for Solving the Screened Poisson Equation with a Delta Function
MathematicsThis paper presents a Finite Element Method (FEM) framework for solving the screened Poisson equation with a Dirac delta function as the forcing term.
Liang Tang, Yuhao Tang
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Convex Feature Learning for Multiple Targets via Output Structure Information
IEEE AccessMulti-target regression has gained popularity owing to its ability to predict multiple outcomes simultaneously, with improved performance over single-target methods.
S. Puhazholi, F. Sagayaraj Francis
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