Results 11 to 20 of about 25,655 (286)
Sparse Diagonal Matrix Adaptive SpMV Optimization Method for GPU [PDF]
Jisuanji gongchengSparse Matrix-Vector multiplication (SpMV) is the computational core and bottleneck of sparse linear systems, and its computational efficiency affects the overall performance of iterative solvers.
WANG Yuhua, HE Junfei, ZHANG Yuqi, LAN Haiyan, CAO Linlin
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New Directions In Sparse Sampling and Estimation For Underdetermined Systems [PDF]
, 2013 A central objective in signal processing is to infer meaningful information from a set of measurements or data. While most signal models have an overdetermined structure (the number of unknowns less than the number of equations), traditionally very few ...
Piya Pal, Pal, Piya
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Equivalence of replica and cavity methods for computing spectra of sparse random matrices [PDF]
Physical Review E, 2011 We show by direct calculation that the replica and cavity methods are exactly equivalent for the spectrum of Erdos-Renyi random graph. We introduce a variational formulation based on the cavity method and use it to find approximate solutions for the density of eigenvalues. We also use this variational method for calculating spectra of sparse covariance
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Embedded Zassenhaus Expansion to Splitting Schemes: Theory and Multiphysics Applications
International Journal of Differential Equations, 2013 We present some operator splitting methods improved by the use of the Zassenhaus product and designed for applications to multiphysics problems. We treat iterative splitting methods that can be improved by means of the Zassenhaus product formula, which ...
Jürgen Geiser
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A new generalized shift-splitting method for nonsymmetric saddle point problems
Advances in Mechanical Engineering, 2022 Recently, Huang and Huang [ Journal of Computational and Applied Mathematics , 328 (2018) 381–399] proposed a modified generalized shift-splitting preconditioned (denoted by MGSSP) method for solving large sparse saddle point problems, and gave the ...
Tao Wei, Li-Tao Zhang
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IEEE Access, 2023 Diversity measures exploited by blind source separation (BSS) methods are usually based on either statistical attributes/geometrical structures or sparse/overcomplete (underdetermined) representations of the signals.
Muhammad Usman Khalid +2 more
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Jointly Iterative Adaptive Approach Based Space Time Adaptive Processing Using MIMO Radar
IEEE Access, 2018 To solve the problem of large training samples requirement of space time adaptive processing (STAP), a jointly sparse matrices recovery-based method is proposed for clutter plus noise covariance matrix estimation by exploiting the transmitting waveform ...
Weike Feng +4 more
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A sparse matrix approach to reverse mode automatic differentiation in Matlab [PDF]
, 2010 We review the extended Jacobian approach to automatic di erentiation of a user- supplied function and highlight the Schur complement form's forward and reverse variants.
Sharma, Naveen Kr. +4 more
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Mathematical and Computational Applications, 2019 In nuclear engineering, the λ -modes associated with the neutron diffusion equation are applied to study the criticality of reactors and to develop modal methods for the transient analysis. The differential eigenvalue problem that needs to be
Amanda Carreño +5 more
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SOLUTION TO FLEET SIZE OF DOCKLESS BIKE-SHARING STATION BASED ON MATRIX ANALYSIS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Aiming at the problems of the lack of reasonable judgment of fleet size and non-optimization of rebalancing for dockless bike-sharing station, based on the usage characteristics of dockless bike-sharing, this paper demonstrates that the Markov chain is ...
Y. Zhai, J. Liu, J. Du, J. Chen
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