Results 61 to 70 of about 164,297 (154)
randPedPCA: rapid approximation of principal components from large pedigrees
Background Pedigrees continue to be extremely important in agriculture and conservation genetics, with the pedigrees of modern breeding programmes easily comprising millions of records.
Hanbin Lee +3 more
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Null space Newton algorithms are efficient in solving the nonlinear equations arising in hydraulic analysis of water distribution networks. In this article, we propose and evaluate an inexact Newton method that relies on partial updates of the network ...
Abraham, Edo, Stoianov, Ivan
core
Collocation method for solving fractional reaction–diffusion problem arising in chemistry
In this study, a numerical approach was developed to approximate the solution of the Caputo-type fractional reaction–diffusion problem. In the proposed method, the Caputo fractional derivative and the integer derivatives of the equation are obtained ...
Jalil Rashidinia, Arefeh Momeni
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The 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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Area-based analyses of airborne laser scanning (ALS) data are an established approach to obtain wall-to-wall predictions of forest characteristics for vast areas.
Mikko T. Niemi, Jari Vauhkonen
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Numerical approximation of Volterra integral equations with highly oscillatory kernels
The 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
In 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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A New Method for Computing $\varphi$-functions and Their Condition Numbers of Large Sparse Matrices
We propose a new method for computing the $\varphi$-functions of large sparse matrices with low rank or fast decaying singular values. The key is to reduce the computation of $\varphi_{\ell}$-functions of a large matrix to $\varphi_{\ell+1}$-functions of some $r$-by-$r$ matrices, where $r$ is the numerical rank of the large matrix in question.
Wu, Gang, Zhang, Lu
openaire +1 more source
System 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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SymBoltz 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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