4.4 Article

Iterative algorithms for the generalized centro-symmetric and central anti-symmetric solutions of general coupled matrix equations

Journal

ENGINEERING COMPUTATIONS
Volume 29, Issue 5-6, Pages 528-560

Publisher

EMERALD GROUP PUBLISHING LIMITED
DOI: 10.1108/02644401211235870

Keywords

Iterative methods; Mathematics; The general coupled matrix equations; Generalized centro-symmetric solution group; Optimal approximation generalized centro-symmetric solution group

Ask authors/readers for more resources

Purpose - The purpose of this paper is to find two iterative methods to solve the general coupled matrix equations over the generalized centro-symmetric and central antisymmetric matrices. Design/methodology/approach - By extending the idea of conjugate gra ient (CG) method, the authors present two iterative methods to solve the general coupled matrix equations over the generalized centro-symmetric and central antisyrnmetric matrices. Findings - When the general coupled matrix equations are consistent over the generalized centro-symmetric and central anti-symmetric matrices, the generalized centro-symmetric and central anti-symmetric solutions can be obtained within nite iterative steps. Also the least Frobenius norm generalized centrosymmetric and central anti-symmetric solutions can be derived by choosing a special kind of initial matrices. Furthermore, the optimal approximation generalized centrosymmetric and central anti-symmetric solutions to given generalized centro-symmetric and central anti-symmetric matrices can be obtained by finding the least Frobenius norm generalized centro-symmetric and central anti-symmetric solutions of new matrix equations. The authors employ some numerical examples to support the theoretical results of this paper. Finally, the application of the presented methods is highlighted for solving the projected generalized continuous-time algebraic Lyapunov equations (GCALE). Originality/value - By the algorithms, the solvability of the general coupled matrix equations over generalized centro-symmetric and central anti-symmetric matrices can be determined automatically. The convergence results of the iterative algorithms are also proposed. Several examples and an application are given to show the efficiency of the presented methods.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Automation & Control Systems

An online intelligent robust adaptive LSQR estimation method for LTI state space model

Shahram Hosseini, M. Navabi, Masoud Hajarian

Summary: In this paper, a new online robust meta-heuristic adaptive LSQR (ORALSQR) estimation method is proposed for simultaneous estimation of a multi input/output linear dynamic model and system state variables. Numerical results show that this method outperforms the LS and RLS based estimation methods mentioned in this paper in terms of accuracy and robustness.

IET CONTROL THEORY AND APPLICATIONS (2023)

Article Mathematics, Applied

A two-grid spectral method to study of dynamics of dense discrete systems governed by Rosenau-Burgers? equation

Mostafa Abbaszadeh, Mahmoud A. Zaky, Ahmed S. Hendy, Mehdi Dehghan

Summary: In this paper, a numerical formulation with second-order accuracy in the time direction and spectral accuracy in the space variable is proposed for solving a nonlinear high-dimensional Rosenau-Burgers equation. The spectral element method and the two-grid idea are combined to simulate the equation, and a three-level algorithm is used for the proposed technique. The existence and uniqueness of the solutions to Steps 1, 2, and 3 are investigated, and error analysis is also discussed.

APPLIED NUMERICAL MATHEMATICS (2023)

Article Mathematics, Applied

Reduced order model for simulation of air pollution model and application in 2D urban street canyons via the meshfree gradient smoothing method

Mostafa Abbaszadeh, Mohammad Ivan Azis, Mehdi Dehghan, Reza Mohammadi-Arani

Summary: This paper proposes a new meshless numerical procedure, namely the gradient smoothing method (GSM), for simulating the pollutant transition equation in urban street canyons. The time derivative is approximated using the finite difference scheme, while the space derivative is discretized using the gradient smoothing method. Additionally, the proper orthogonal decomposition (POD) approach is employed to reduce CPU time. Several real-world examples are solved to verify the efficiency of the developed numerical procedure.

COMPUTERS & MATHEMATICS WITH APPLICATIONS (2023)

Article Biology

Predicting the effect of a combination drug therapy on the prostate tumor growth via an improvement of a direct radial basis function partition of unity technique for a diffuse-interface model

Niusha Narimani, Mehdi Dehghan

Summary: This paper numerically studies the therapies of prostate cancer in a two-dimensional space. The proposed model describes the tumor growth driven by a nutrient and the effects of cytotoxic chemotherapy and antiangiogenic therapy. The results obtained without using any adaptive algorithm show the response of the prostate tumor growth to different therapies.

COMPUTERS IN BIOLOGY AND MEDICINE (2023)

Article Engineering, Multidisciplinary

A reduced-order model based on cubic B-spline basis function and SSP Runge-Kutta procedure to investigate option pricing under jump-diffusion models

Mostafa Abbaszadeh, Yasmin Kalhor, Mehdi Dehghan, Marco Donatelli

Summary: The purpose of this research is to develop a numerical method for option pricing in jump-diffusion models. The proposed model consists of a backward partial integro-differential equation with diffusion and advection factors. Pseudo-spectral technique and cubic B-spline functions are used to solve the equation, and a second-order Strong Stability Preserved Runge-Kutta procedure is adopted. The efficiency and accuracy of the proposed method are demonstrated through various test cases.

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS (2023)

Article Engineering, Multidisciplinary

Simulations of dendritic solidification via the diffuse approximate method

Mahboubeh Najafi, Mehdi Dehghan

Summary: In this work, two-dimensional dendritic solidification is simulated using the meshless Diffuse Approximate Method (DAM). The Stefan problem is studied through the phase-field model, considering both isotropic and anisotropic materials for comparisons. The effects of changing some constants on the obtained patterns are investigated.

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS (2023)

Article Mathematics, Applied

The Formulation of Finite Difference RBFWENO Schemes for Hyperbolic Conservation Laws: An Alternative Technique

Rooholah Abedian, Mehdi Dehghan

Summary: This paper presents a new formulation of conservative finite difference radial basis function weighted essentially non-oscillatory (WENO-RBF) schemes to solve conservation laws. Unlike previous methods, the flux function is generated directly with the conservative variables, and arbitrary monotone fluxes can be employed. Numerical simulations of several benchmark problems are conducted to demonstrate the good performance of the new scheme.

ADVANCES IN APPLIED MATHEMATICS AND MECHANICS (2023)

Article Mathematics, Applied

A radial basis function-Hermite finite difference (RBF-HFD) method for the cubic-quintic complex Ginzburg-Landau equation

Majid Haghi, Mohammad Ilati, Mehdi Dehghan

Summary: In this paper, the cubic-quintic complex Ginzburg-Landau (CQCGL) equation is numerically studied in 1D, 2D, and 3D spaces. The equation is decomposed into three subproblems using the Strang splitting technique. Nonlinear ODEs are solved by the Runge-Kutta technique for the first and third problems, while a fourth-order RBF-generated Hermite finite difference (RBF-HFD) method is used for the second problem involving spatial derivatives. A temporal Richardson extrapolation technique is applied to improve the order of convergence in the time direction. Numerical results show that the proposed method improves the order of convergence and is accurate and efficient.

COMPUTATIONAL & APPLIED MATHEMATICS (2023)

Article Mathematics, Applied

The numerical solution of nonlinear delay Volterra integral equations using the thin plate spline collocation method with error analysis

Alireza Hosseinian, Pouria Assari, Mehdi Dehghan

Summary: This paper presents a numerical method for solving nonlinear Volterra integral equations with delay arguments. The method uses the discrete collocation approach with thin plate splines as a type of radial basis functions. The method provides an effective and stable algorithm to estimate the solution, which can be easily implemented on a personal computer. The error analysis and convergence validation of the method are also provided.

COMPUTATIONAL & APPLIED MATHEMATICS (2023)

Article Engineering, Multidisciplinary

On the approximate solution of dynamic systems derived from the HIV infection of CD+4 T cells using the LRBF-collocation scheme

Fatemeh Asadi-Mehregan, Pouria Assari, Mehdi Dehghan

Summary: This paper presents a computational algorithm for solving nonlinear systems of ordinary and partial differential equations resulting from HIV infection models. The method uses local radial basis functions as shape functions in the discrete collocation scheme, approximating the solution by a small set of nodes. The computational efficiency of the scheme is studied through several test examples.

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS (2023)

Article Engineering, Multidisciplinary

Simulation of the coupled Schrodinger-Boussinesq equations through integrated radial basis functions-partition of unity method

Ali Ebrahimijahan, Mehdi Dehghan, Mostafa Abbaszadeh

Summary: In this study, the integrated radial basis functions-partition of unity (IRBF-PU) method is proposed for solving the coupled Schrodinger-Boussinesq equations in one-and two-dimensions. The IRBF-PU method is a local mesh-free method that offers flexibility and high accuracy for PDEs with smooth initial conditions. Numerical simulations demonstrate that the IRBF-PU method can effectively simulate solitary waves and preserve conservation laws. Furthermore, the obtained results are compared with other methods in the literature to validate the effectiveness and reliability of the proposed method.

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS (2023)

Article Engineering, Multidisciplinary

Numerical solution of Allen-Cahn model on surfaces via an effective method based on generalized moving least squares (GMLS) approximation and the closest point approach

Hasan Zamani-Gharaghoshi, Mehdi Dehghan, Mostafa Abbaszadeh

Summary: This article presents a numerical method for solving the surface Allen-Cahn model. The method is based on the generalized moving least-squares approximation and the closest point method. It does not depend on the structure of the underlying surface and only requires a set of arbitrarily distributed mesh-free points on the surface.

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS (2023)

Article Computer Science, Interdisciplinary Applications

Efficient iterative schemes based on Newton's method and fixed-point iteration for solving nonlinear matrix equation Xp = Q±A(X-1+B)-1AT

Raziyeh Erfanifar, Masoud Hajarian

Summary: This paper studies a common nonlinear matrix equation and proposes two iterative schemes to solve it, while proving the convergence of these schemes.

ENGINEERING COMPUTATIONS (2023)

Article Automation & Control Systems

Developing HSS iteration schemes for solving the quadratic matrix equation AX2 + BX +C=0

Raziyeh Erfanifar, Masoud Hajarian

Summary: This study presents schemes based on the Hermitian and skew-Hermitian splitting to solve the quadratic matrix equation (QME), which is important in various fields. The results show that the proposed schemes converge to the solutions of the QME, and their applicability is verified through examples.

IET CONTROL THEORY AND APPLICATIONS (2023)

Article Mathematics, Applied

A family of iterative methods to solve nonlinear problems with applications in fractional differential equations

Raziyeh Erfanifar, Masoud Hajarian, Khosro Sayevand

Summary: In this work, a family of fourth-order methods is proposed to solve nonlinear equations, which satisfy the Kung-Traub optimality conjecture. The efficiency indices of the methods are increased by developing them into memory methods. The methods are then extended to multi-step methods for solving systems of problems. Numerical examples are provided to confirm the theoretical results, and the methods are applied to solve nonlinear problems related to the numerical approximation of fractional differential equations.

MATHEMATICAL METHODS IN THE APPLIED SCIENCES (2023)

No Data Available