Add to ORKG⊲ Introduction to Markov chains ⊲ Problem setting and solution approaches ⊲ Introduction to algebraic multigrid (AMG) ⊲ Some numerical tests ⊲ Summary and outloo
Quasi-stationary magnetic field formulations are often coupled with lumped parameter models for the ...
Reproduced by courtesy of Springer Verlag from Lecture Notes vol. 960 ''Multigrid Methods''SIGLETIB:...
summary:Solving a system of linear algebraic equations by the preconditioned conjugate gradient meth...
The computation of stationary distributions of Markov chains is an important task in the simulation ...
In this work we focus on the application phase of AMG preconditioners, and in particular on the choi...
We describe main issues and design principles of an efficient implementation, tailored to recent gen...
Algebraic multigrid (AMG) is one of the most effective iterative methods for the solution of large, ...
The development of high performance, massively parallel computers and the increasing demands of comp...
Fully implicit petroleum reservoir simulations result in huge, often very ill-conditioned linear sys...
The article discusses components and performance of an algebraic multigrid (AMG) preconditioner for ...
We apply Algebraic Multigrid (AMG) as a preconditioner for solving large singular linear systems of ...
Algebraic multigrid (AMG) solves linear systems based on multigrid principles, but in a way that onl...
Algebraic Multiscale (AMS) is a recent development for the construction of efficient linear solvers ...
Will be published in the proceedings of the multigrid conference, Bristol, UK, September 1983Copy he...
The influence of multi-core central processing units and graphics processing units on several algebr...
Quasi-stationary magnetic field formulations are often coupled with lumped parameter models for the ...
Reproduced by courtesy of Springer Verlag from Lecture Notes vol. 960 ''Multigrid Methods''SIGLETIB:...
summary:Solving a system of linear algebraic equations by the preconditioned conjugate gradient meth...
The computation of stationary distributions of Markov chains is an important task in the simulation ...
In this work we focus on the application phase of AMG preconditioners, and in particular on the choi...
We describe main issues and design principles of an efficient implementation, tailored to recent gen...
Algebraic multigrid (AMG) is one of the most effective iterative methods for the solution of large, ...
The development of high performance, massively parallel computers and the increasing demands of comp...
Fully implicit petroleum reservoir simulations result in huge, often very ill-conditioned linear sys...
The article discusses components and performance of an algebraic multigrid (AMG) preconditioner for ...
We apply Algebraic Multigrid (AMG) as a preconditioner for solving large singular linear systems of ...
Algebraic multigrid (AMG) solves linear systems based on multigrid principles, but in a way that onl...
Algebraic Multiscale (AMS) is a recent development for the construction of efficient linear solvers ...
Will be published in the proceedings of the multigrid conference, Bristol, UK, September 1983Copy he...
The influence of multi-core central processing units and graphics processing units on several algebr...
Quasi-stationary magnetic field formulations are often coupled with lumped parameter models for the ...
Reproduced by courtesy of Springer Verlag from Lecture Notes vol. 960 ''Multigrid Methods''SIGLETIB:...
summary:Solving a system of linear algebraic equations by the preconditioned conjugate gradient meth...