The preconditioned conjugate gradient algorithm is a well-known and powerful method used to solve large sparse symmetric positive definite linear systems Such system are generated by the finite element discretisation in structural analysis but users of finite elements in this contest generally still rely on direct methods It is our purpose in the present work to highlight the improvement brought forward by some new preconditioning techniques and show that the preconditioned conjugate gradient method performs better than efficient direct methods.SCOPUS: ar.jFLWINinfo:eu-repo/semantics/publishe
Includes bibliographical references (page 62)A new iterative method for the solution of large, spars...
Abstract. The Preconditioned Conjugate Gradient (PCG) method has proven to be extremely powerful for...
The feasibility of preconditioned conjugate gradient (PCG) for solving extremely large sparse linear...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
A hierarchically preconditioned conjugate gradient (PCG) method for finite element analysis is prese...
The present paper deals with a numerical analysis of the vectorization of the PCG (preconditioned co...
Since in many finite element problems, lots of opera-tions are repetitive on elements, it is of grea...
The efficiency of several preconditioned Conjugate Gradient (PCG) schemes for solving of large spars...
This paper deals with background and practical experience with preconditioned gradient methods for s...
AbstractIn solving systems of linear equations derived from FEM structural analysis by the conjugate...
In this article the preconditioned conjugate gradient (PCG) method, realized on GPU and intended to ...
Iterative methods for solving large-scale linear systems have been gaining popularity in many areas ...
The conjugate gradient method is an iterative technique used to solve systems of linear equations. T...
The rapid improvement in computational power available due to faster chips and parallel processing i...
Includes bibliographical references (page 62)A new iterative method for the solution of large, spars...
Abstract. The Preconditioned Conjugate Gradient (PCG) method has proven to be extremely powerful for...
The feasibility of preconditioned conjugate gradient (PCG) for solving extremely large sparse linear...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
A numerical study of the efficiency of the modified conjugate gradients (MCG) is performed using dif...
A hierarchically preconditioned conjugate gradient (PCG) method for finite element analysis is prese...
The present paper deals with a numerical analysis of the vectorization of the PCG (preconditioned co...
Since in many finite element problems, lots of opera-tions are repetitive on elements, it is of grea...
The efficiency of several preconditioned Conjugate Gradient (PCG) schemes for solving of large spars...
This paper deals with background and practical experience with preconditioned gradient methods for s...
AbstractIn solving systems of linear equations derived from FEM structural analysis by the conjugate...
In this article the preconditioned conjugate gradient (PCG) method, realized on GPU and intended to ...
Iterative methods for solving large-scale linear systems have been gaining popularity in many areas ...
The conjugate gradient method is an iterative technique used to solve systems of linear equations. T...
The rapid improvement in computational power available due to faster chips and parallel processing i...
Includes bibliographical references (page 62)A new iterative method for the solution of large, spars...
Abstract. The Preconditioned Conjugate Gradient (PCG) method has proven to be extremely powerful for...
The feasibility of preconditioned conjugate gradient (PCG) for solving extremely large sparse linear...