Deflated preconditioned conjugate gradients applied to a Petrov-Galerkin generalized least squares finite element formulation for incompressible flows with heat transfer
DOI10.1108/HFF-12-2012-0272zbMath1357.65176OpenAlexW2080024468MaRDI QIDQ2967253
Rosilene A. Kraft, Alvaro L. G. A. Coutinho
Publication date: 28 February 2017
Published in: International Journal of Numerical Methods for Heat & Fluid Flow (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1108/hff-12-2012-0272
finite element methoddeflationconjugate gradientsPetrov-Galerkin generalized least squarestransient fluid flow coupled with heat transfer
Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Numerical solution of discretized equations for initial value and initial-boundary value problems involving PDEs (65M22)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Fast iterative solvers for buoyancy driven flow problems
- Streamline upwind/Petrov-Galerkin formulations for convection dominated flows with particular emphasis on the incompressible Navier-Stokes equations
- Deflated preconditioned conjugate gradient solvers for the pressure-Poisson equation
- A stabilized finite element method for incompressible flow and heat transfer: A natural derivation based on the use of local time-steps
- On the Construction of Deflation-Based Preconditioners
- Deflated preconditioned conjugate gradient solvers for the pressure-Poisson equation: Extensions and improvements
- Deflated preconditioned conjugate gradient solvers for linear elasticity
- Deflation of Conjugate Gradients with Applications to Boundary Value Problems
- Improving algebraic multigrid interpolation operators for linear elasticity problems
- Finite element approximation of turbulent thermally coupled incompressible flows with numerical sub‐grid scale modelling
- Edge-based data structures for a symmetric stabilized finite element method for the incompressible Navier–Stokes equations with heat transfer
- Deflation and Balancing Preconditioners for Krylov Subspace Methods Applied to Nonsymmetric Matrices
- Multilevel Projection-Based Nested Krylov Iteration for Boundary Value Problems
- A Deflated Version of the Conjugate Gradient Algorithm
- Computational predictability of time‐dependent natural convection flows in enclosures (including a benchmark solution)
- A numerical study of a natural convection flow in a cavity
This page was built for publication: Deflated preconditioned conjugate gradients applied to a Petrov-Galerkin generalized least squares finite element formulation for incompressible flows with heat transfer
