Results 41 to 50 of about 54,023 (335)
Robust Preconditioners for Incompressible MHD Models
, 2015 In this paper, we develop two classes of robust preconditioners for the structure-preserving discretization of the incompressible magnetohydrodynamics (MHD) system.
Hu, Kaibo +3 more
core +1 more source
Sparse approximate inverse preconditioners on high performance GPU platforms [PDF]
, 2016 Simulation with models based on partial differential equations often requires the solution of (sequences of) large and sparse algebraic linear systems. In multidimensional domains, preconditioned Krylov iterative solvers are often appropriate for these ...
Bertaccini, Daniele +1 more
core +1 more source
Advances in Mechanical Engineering, 2018 In this article, to better implement the modified positive-definite and skew-Hermitian splitting preconditioners studied recently (Numer. Algor., 72 (2016) 243–258) for generalized saddle point problems, a class of inexact modified positive-definite and ...
Qin-Qin Shen, Quan Shi
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Advances in Electrical and Electronic Engineering, 2015 The analysis and design of electromechanical devices involve the solution of large sparse linear systems, and require therefore high performance algorithms.
Daniel Marcsa, Miklos Kuczmann
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Clusters, preconditioners, convergence
Linear Algebra and its Applications, 1997 The authors address the problem of clusterization of singular values. In this context, they present a technique that relates the existence of clusters of singular values to the existence of clusters of eigenvalues. This clusterization technique is based on the notion of regular preconditioners for a sequence of complex matrices.
Tyrtyshnikov, E.E. +2 more
openaire +1 more source
Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning
Journal of Applied Mathematics, 2012 The present paper describes a parallel preconditioned algorithm for the solution of partial eigenvalue problems for large sparse symmetric matrices, on parallel computers.
Luca Bergamaschi +2 more
doaj +1 more source
Mixed-Precision Sparse Approximate Inverse Preconditioning Algorithm on GPU
IEEE Access, 2023 In this study, in order to further improve the construction efficiency of sparse approximate inverse (SPAI) preconditioners, we attempt to explore the construction method of SPAI preconditioners in mixed-precision mode from the perspective of single and ...
Xinyue Chu
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Optimization of Iterative Control Algorithms for High-Resolution Adaptive Optics Systems
IEEE Photonics JournalAs the number of wavefront sensor subapertures and deformable mirror actuators in adaptive optics systems increases, the computational time of the direct gradient wavefront control algorithm is excessively long, which is a major factor affecting the ...
Shenghu Liu +7 more
doaj +1 more source
Parallel iterative computational methods for 3D finite element flow simulations
Computer Assisted Methods in Engineering and Science, 2023 In this paper we discuss sparse matrix computational methods, and their parallel implementations, for evaluating matrix-vector products in iterative solution of coupled, nonlinear equations encountered in finite element flow simulations. Based on sparse
Vinay Kalro, Tayfun Tezduyar
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