Results 1 to 10 of about 1,263 (265)

Pre-Dog-Leg: A Feature Optimization Method for Visual Inertial SLAM Based on Adaptive Preconditions [PDF]

open access: yesSensors
To address the ill-posedness of the Hessian matrix in monocular visual-inertial SLAM (Simultaneous Localization and Mapping) caused by unobservable depth of feature points, which leads to convergence difficulties and reduced robustness, this paper ...
Junyang Zhao   +6 more
doaj   +2 more sources

A New Approach to the Splitting Factor Preconditioner Applied to Linear Programming Problems

open access: yesTrends in Computational and Applied Mathematics, 2022
In this paper, we present the results of a new approach to the splitting factor preconditioner, which is a preconditioner based on the Incomplete Cholesky factorization and the splitting preconditioner.
P. A. Kikuchi, A. R. L. Oliveira
doaj   +1 more source

Preconditioning of fully implicit Runge-Kutta schemes for parabolic PDEs [PDF]

open access: yesModeling, Identification and Control, 2006
Recently, the authors introduced a preconditioner for the linear systems that arise from fully implicit Runge-Kutta time stepping schemes applied to parabolic PDEs (9).
Gunnar A. Staff   +2 more
doaj   +1 more source

Toeplitz-like preconditioner for linear systems from spatial fractional diffusion equations [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2021
‎The article deals with constructing Toeplitz-like preconditioner for linear systems arising from finite difference discretization of the spatial fractional diffusion equations‎. ‎The coefficient matrices of these linear systems have an $S+L$ structure‎,
N. Akhoundi
doaj   +1 more source

A new approximate inverse preconditioner based on the Vaidya’s maximum spanning tree for matrix equation AXB = C [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2019
We propose a new preconditioned global conjugate gradient (PGL-CG) method for the solution of matrix equation AXB = C, where A and B are sparse Stieltjes matrices. The preconditioner is based on the support graph preconditioners.
K. Rezaei, F. Rahbarnia, F. Toutounian
doaj   +1 more source

A Preconditioned Iterative Method for a Multi-State Time-Fractional Linear Complementary Problem in Option Pricing

open access: yesFractal and Fractional, 2023
Fractional derivatives and regime-switching models are widely used in various fields of finance because they can describe the nonlocal properties of the solutions and the changes in the market status, respectively.
Xu Chen   +3 more
doaj   +1 more source

A preconditioned iterative method for coupled fractional partial differential equation in European option pricing

open access: yesOpen Mathematics, 2023
Recently, regime-switching option pricing based on fractional diffusion models has been used, which explains many significant empirical facts about financial markets better.
Wu Shuang   +3 more
doaj   +1 more source

A Comparative Study of Block Incomplete Sparse Approximate Inverses Preconditioning on Tesla K20 and V100 GPUs

open access: yesAlgorithms, 2021
Incomplete Sparse Approximate Inverses (ISAI) has shown some advantages over sparse triangular solves on GPUs when it is used for the incomplete LU based preconditioner.
Wenpeng Ma, Wu Yuan, Xiazhen Liu
doaj   +1 more source

A dimension expanded preconditioning technique for block two-by-two linear equations

open access: yesDemonstratio Mathematica, 2023
In this article, we introduce a novel block preconditioner for block two-by-two linear equations by expanding the dimension of the coefficient matrix. Theoretical results on the eigenvalues distribution of the preconditioned matrix are obtained, and a ...
Luo Wei-Hua, Carpentieri Bruno, Guo Jun
doaj   +1 more source

Application of a Sparsity Pattern and Region Clustering for Near Field Sparse Approximate Inverse Preconditioners in Method of Moments Simulations

open access: yesInternational Journal of Antennas and Propagation, 2017
This document presents a technique for the generation of Sparse Inverse Preconditioners based on the near field coupling matrices of Method of Moments simulations where the geometry has been partitioned in terms of regions.
Carlos Delgado   +2 more
doaj   +1 more source

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