Single step iterative method for linear system of equations with complex symmetric positive semi-definite coefficient matrices
In this study, we propose a new single-step iterative method for solving complex linear
systems A z≡(W+ i T) z= f, where z, f∈ R n, W∈ R n× n and T∈ R n× n are symmetric …
systems A z≡(W+ i T) z= f, where z, f∈ R n, W∈ R n× n and T∈ R n× n are symmetric …
A new block preconditioner for weighted Toeplitz regularized least-squares problems
We introduce a new block preconditioner for the solution of weighted Toeplitz regularized
least-squares problems written in augmented system form. The proposed preconditioner is …
least-squares problems written in augmented system form. The proposed preconditioner is …
Double parameter splitting (DPS) iteration method for solving complex symmetric linear systems
Complex linear equation systems appear in many branches of mathematical sciences and
have many applications in science and engineering. Therefore, there have been developed …
have many applications in science and engineering. Therefore, there have been developed …
Robust sliding mode-based learning control for MIMO nonlinear nonminimum phase system in general form
The tracking control of a multi-input multioutput nonlinear nonminimum phase system in
general form is discussed. This system is assumed to be suffering from parameter …
general form is discussed. This system is assumed to be suffering from parameter …
Tannenbaum's gain-margin optimization meets Polyak's heavy-ball algorithm
The paper highlights a relatively unknown link between algorithm design in optimization and
control synthesis in robust control. Specifically, quadratic optimization can be recast as a …
control synthesis in robust control. Specifically, quadratic optimization can be recast as a …
A direct method to Frobenius norm-based matrix regression
SF Yuan, YB Yu, MZ Li, H Jiang - International Journal of Computer …, 2020 - Taylor & Francis
Regression analysis has been widely used for face recognition. This paper mainly discuss
the following regularized matrix regression problem: Given a set of k image matrices A 1, A …
the following regularized matrix regression problem: Given a set of k image matrices A 1, A …
Robust adaptive control for uncertain input delay MIMO nonlinear non-minimum phase system: A fuzzy approach
Z Liu, X Hu, X Wang, Y Guo - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, the robust controller design problem of uncertain multi-input multi-output
nonlinear non-minimum phase system is discussed. The nonlinear system is suffering from …
nonlinear non-minimum phase system is discussed. The nonlinear system is suffering from …
[PDF][PDF] Solving Sylvester equation with complex symmetric semi-definite positive coefficient matrices
Combination of real and imaginary parts (CRI) works well for solving complex symmetric
linear systems. This paper develops a generalization of CRI method to determine the …
linear systems. This paper develops a generalization of CRI method to determine the …
Design of even-order variable fractional delay FIR filters based on pivot element weighting iterative algorithm
This paper proposes a design for even-order variable fractional delay (VFD) finite impulse
response (FIR) filters based on pivot element weighting iterative (PEWI) algorithm. Initially, a …
response (FIR) filters based on pivot element weighting iterative (PEWI) algorithm. Initially, a …
Generalized Preconditioning to Accelerate Simulations with Large Multiphase Chemical Kinetics Models
AS Walker - 2024 - ir.library.oregonstate.edu
Combustion emissions produced from burning real transportation fuels have many
environmental impacts. However, detailed chemistry across multiple phases, time scales …
environmental impacts. However, detailed chemistry across multiple phases, time scales …