Synthesis of fast and superfast solvers of large systems of linear algebraic equations using control theory methods
From MaRDI portal
Publication:2290826
DOI10.1134/S1064230719020084zbMath1432.93064OpenAlexW2967312642WikidataQ127356514 ScholiaQ127356514MaRDI QIDQ2290826
Publication date: 29 January 2020
Published in: Journal of Computer and Systems Sciences International (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s1064230719020084
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Pole placement for controlling a large scale power system
- Matrix sign function in the problems of analysis and design of the linear systems
- Richardson's iteration for nonsymmetric matrices
- An optimum iterative method for solving any linear system with a square matrix
- A PI stepsize control for the numerical solution of ordinary differential equations
- The convergence of inexact Chebyshev and Richardson iterative methods for solving linear systems
- Controllability of matrix eigenvalue algorithms: the inverse power method
- Analysis of acceleration strategies for restarted minimal residual methods
- Superstable linear control systems. II: Design
- An adaptive Richardson iteration method for indefinite linear systems
- Introduction to the mathematical theory of control processes. Vol. II:Nonlinear processes
- System theory for numerical analysis
- Optimal Control of Iterative Solution Methods for Linear Systems of Equations
- Numerical methods for large eigenvalue problems
- Control theoretic techniques for stepsize selection in explicit Runge-Kutta methods
- The Tortoise and the Hare Restart GMRES
- On the convergence behavior of the restarted GMRES algorithm for solving nonsymmetric linear systems
- Control and Stabilization of Linear Equation Solvers
- Control Perspectives on Numerical Algorithms and Matrix Problems
- On controllability of the real shifted inverse power iteration
This page was built for publication: Synthesis of fast and superfast solvers of large systems of linear algebraic equations using control theory methods
