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In the present paper, we propose Krylov-based methods for solving large-scale differential Sylvester matrix equations having a low rank constant term. We present two new approaches for solving such differential matrix equations. The first…

Numerical Analysis · Mathematics 2017-07-10 M. Hached , K. Jbilou

A numerical method is developed leading to algebraic systems based on generalized Lyapunov-Sylvester operators to approximate the solution of two-dimensional Kuramoto-Sivashinsky equation. It consists of an order reduction method and a…

Numerical Analysis · Mathematics 2015-11-10 Abdelhamid Bezia , Anouar Ben Mabrouk

In the present paper, we present some numerical methods for computing approximate solutions to some large differential linear matrix equations. In the first part of this work, we deal with differential generalized Sylvester matrix equations…

Numerical Analysis · Computer Science 2018-05-28 M. Hached , K. Jbilou

In the present paper a numerical method is developed to approximate the solution of two-dimensional NLS equation in the presence of a singular potential. The method leads to Lyapunov-Syslvester algebraic operators that are shown to be…

Numerical Analysis · Mathematics 2015-11-10 Riadh Chteoui , Anouar Ben Mabrouk , Hichem Ounaies

Developing efficient solvers for large-scale multi-term linear matrix equations remains a central challenge in numerical linear algebra and is still largely unresolved. This paper introduces a methodology leveraging CUR decomposition for…

Numerical Analysis · Mathematics 2025-11-19 Saeed Akbari , Damiano Lombardi , Hessam Babaee

In the numerical treatment of large-scale Sylvester and Lyapunov equations, projection methods require solving a reduced problem to check convergence. As the approximation space expands, this solution takes an increasing portion of the…

Numerical Analysis · Mathematics 2017-02-03 Davide Palitta , Valeria Simoncini

A numerical method is developed leading to algebraic systems based on generalized Lyapunov-Sylvester operators to approximate the solution of two-dimensional Boussinesq equation. It consists of an order reduction method and a finite…

Numerical Analysis · Mathematics 2015-11-11 Abdelhamid Bezia , Anouar Ben Mabrouk , Kamel Betina

Implementation of many statistical methods for large, multivariate data sets requires one to solve a linear system that, depending on the method, is of the dimension of the number of observations or each individual data vector. This is…

Numerical Analysis · Mathematics 2024-09-27 Dung Pham , Kirk M. Soodhalter , Simon Wilson

Several different problems make the study of the so called Lyapunov type inequalities of great interest, both in pure and applied mathematics. Although the original historical motivation was the study of the stability properties of the Hill…

Analysis of PDEs · Mathematics 2011-10-06 Antonio Canada , Salvador Villegas

In the present paper, we consider large-scale differential Lyapunov matrix equations having a low rank constant term. We present two new approaches for the numerical resolution of such differential matrix equations. The first approach is…

Numerical Analysis · Mathematics 2017-05-30 M. Hached , K. Jbilou

A delay Lyapunov matrix corresponding to an exponentially stable system of linear time-invariant delay differential equations can be characterized as the solution of a boundary value problem involving a matrix valued delay differential…

Numerical Analysis · Mathematics 2018-08-28 Wim Michiels , Bin Zhou

We consider the solution of the Sylvester equation $AX+XB=C$ in mixed precision. We derive a new iterative refinement scheme to solve perturbed quasi-triangular Sylvester equations; our rounding error analysis provides sufficient conditions…

Numerical Analysis · Mathematics 2026-03-27 Andrii Dmytryshyn , Massimiliano Fasi , Nicholas J. Higham , Xiaobo Liu

Sequences of parametrized Lyapunov equations can be encountered in many application settings. Moreover, solutions of such equations are often intermediate steps of an overall procedure whose main goal is the computation of…

Numerical Analysis · Mathematics 2024-05-30 Davide Palitta , Zoran Tomljanović , Ivica Nakić , Jens Saak

Sylvester, Lyapunov, and algebraic Riccati equations are the bread and butter of control theorists. They are used to compute infinite-horizon Gramians, solve optimal control problems in continuous or discrete time, and design observers.…

Optimization and Control · Mathematics 2020-11-25 Ta-Chu Kao , Guillaume Hennequin

The numerical integration of stiff equations is a challenging problem that needs to be approached by specialized numerical methods. Exponential integrators form a popular class of such methods since they are provably robust to stiffness and…

Numerical Analysis · Mathematics 2024-05-15 Benjamin Carrel , Bart Vandereycken

Sylvester equations $AX-XB=C$ have unique solutions for all $C$ when the spectra of $A$ and $B$ are disjoint. Here $A$ and $B$ are bounded operators in Banach spaces. We discuss the existence of polynomials $p$ such that the spectra of…

Functional Analysis · Mathematics 2019-04-17 Olavi Nevanlinna

This paper solves the Sylvester equation in the form of AX+XB=C in a distributed way, and proposes three distributed continuous-time algorithms for three cases. We start with the basic algorithm for solving a least squares solution of the…

Optimization and Control · Mathematics 2019-05-01 Wen Deng , Xianlin Zeng , Yiguang Hong

This work is to provide a comprehensive treatment of the relationship between the theory of the generalized (palindromic) eigenvalue problem and the theory of the Sylvester-type equations. Under a regularity assumption for a specific matrix…

Numerical Analysis · Mathematics 2014-12-03 Matthew M. Lin , Chun-Yueh Chiang

This paper presents a novel method to synthesize stochastic control Lyapunov functions for a class of nonlinear, stochastic control systems. In this work, the classical nonlinear Hamilton-Jacobi-Bellman partial differential equation is…

Optimization and Control · Mathematics 2016-11-17 Yoke Peng Leong , Matanya B. Horowitz , Joel W. Burdick

We consider the problem of efficiently solving Sylvester and Lyapunov equations of medium and large scale, in case of rank-structured data, i.e., when the coefficient matrices and the right-hand side have low-rank off-diagonal blocks. This…

Numerical Analysis · Mathematics 2018-08-23 Stefano Massei , Davide Palitta , Leonardo Robol
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