AbstractWe propose a new preconditioner DASP (discrete approximate spectral preconditioner), based on the existing well-known preconditioners and our computational experience. Parallel preconditioning strategies for large scale partial difference equation systems arising from partial differential equations are investigated. Numerical results are given to show the efficiency and effectiveness of the new preconditioners for both model problems and real applications in petroleum reservoir simulation
We study a parallel implementation of different preconditioning techniques for the iterative solutio...
Linear solvers for reservoir simulation applications are the objective of this review. Specifically,...
We review current methods for preconditioning systems of equations for their solution using iterativ...
Abstract. We develop a simple algorithmic framework to solve large-scale symmetric positive definite...
The black oil model is widely used to describe multiphase porous media flow in the petroleum industr...
We are interested in the numerical solution of the unsteady Navier–Stokes equations on large scale p...
Partial differential equations are commonly used in industry and science to model observed phenomena...
The rapid improvement in computational power available due to faster chips and parallel processing i...
The rapid improvement ' in computational power available due to faster chips and parallel processing...
The Fast Auxiliary Space Preconditioning (FASP) method is a general framework for constructing effec...
Fully implicit petroleum reservoir simulations result in huge, often very ill-conditioned linear sys...
A popular class of preconditioners is known as incomplete factorizations. They can be thought of as ...
Preconditioning for the Pressure Poisson Equation, used with the fractional step Navier--Stokes solv...
The computation time for reservoir simulation is dominated by the linear solver. The sets of linear ...
We study a parallel Newton-Krylov-Schwarz (NKS) based algorithm for solving large sparse systems...
We study a parallel implementation of different preconditioning techniques for the iterative solutio...
Linear solvers for reservoir simulation applications are the objective of this review. Specifically,...
We review current methods for preconditioning systems of equations for their solution using iterativ...
Abstract. We develop a simple algorithmic framework to solve large-scale symmetric positive definite...
The black oil model is widely used to describe multiphase porous media flow in the petroleum industr...
We are interested in the numerical solution of the unsteady Navier–Stokes equations on large scale p...
Partial differential equations are commonly used in industry and science to model observed phenomena...
The rapid improvement in computational power available due to faster chips and parallel processing i...
The rapid improvement ' in computational power available due to faster chips and parallel processing...
The Fast Auxiliary Space Preconditioning (FASP) method is a general framework for constructing effec...
Fully implicit petroleum reservoir simulations result in huge, often very ill-conditioned linear sys...
A popular class of preconditioners is known as incomplete factorizations. They can be thought of as ...
Preconditioning for the Pressure Poisson Equation, used with the fractional step Navier--Stokes solv...
The computation time for reservoir simulation is dominated by the linear solver. The sets of linear ...
We study a parallel Newton-Krylov-Schwarz (NKS) based algorithm for solving large sparse systems...
We study a parallel implementation of different preconditioning techniques for the iterative solutio...
Linear solvers for reservoir simulation applications are the objective of this review. Specifically,...
We review current methods for preconditioning systems of equations for their solution using iterativ...