This paper presents a class of limited memory preconditioners (LMPs) for solving linear systems of equations with multiple nonsymmetric matrices and multiple right-hand sides. These preconditioners based on limited memory quasi-Newton formulas require a small number k of linearly independent vectors. They may be used to improve an existing first-level preconditioner and are especially worth considering when the solution of a sequence of linear systems with slowly varying left-hand sides is addressed
This paper addresses the problem of profit-oriented disassembly line design and balancing considerin...
Viscoelastic materials are often characterized by a completely monotone kernel : this gives rise to ...
Cours sur invitation donné lors de l'Action Nationale de Formation CNRS intitulée: "Réduction de la ...
Many applications in structural mechanics require the numerical solution of sequences of linear syst...
Least squares form one of the most prominent classes of optimization problems, with numerous applica...
Engineering computer codes are often compu- tationally expensive. To lighten this load, we exploit n...
For linear discrete state-space models, under certain conditions, the linear least mean squares (LLM...
Quaternion algebra is frequently employed for spacecraft attitude description due to its convenient ...
In this work we extend the results of a high order finite volume semi-discretization for port-Hamilt...
في هذه الدراسة تم تطوير طريقة جديدة تقوم على الشبكة العصبية من أجل حل المعادلات التفاضلية الجزئية ال...
ABSTRACT The purpose of this paper is to introduce parallel algorithms based on the Newton method fo...
The design optimization of coupled systems requires the implementation of multidisciplinary design o...
Large-scale problems have attracted much attention in the last decades since they arise from differ...
We are concerned with the iterative solution of linear systems with multiple right-hand sides availa...
In many engineering optimization problems, the number of function evaluations is often very limited ...
This paper addresses the problem of profit-oriented disassembly line design and balancing considerin...
Viscoelastic materials are often characterized by a completely monotone kernel : this gives rise to ...
Cours sur invitation donné lors de l'Action Nationale de Formation CNRS intitulée: "Réduction de la ...
Many applications in structural mechanics require the numerical solution of sequences of linear syst...
Least squares form one of the most prominent classes of optimization problems, with numerous applica...
Engineering computer codes are often compu- tationally expensive. To lighten this load, we exploit n...
For linear discrete state-space models, under certain conditions, the linear least mean squares (LLM...
Quaternion algebra is frequently employed for spacecraft attitude description due to its convenient ...
In this work we extend the results of a high order finite volume semi-discretization for port-Hamilt...
في هذه الدراسة تم تطوير طريقة جديدة تقوم على الشبكة العصبية من أجل حل المعادلات التفاضلية الجزئية ال...
ABSTRACT The purpose of this paper is to introduce parallel algorithms based on the Newton method fo...
The design optimization of coupled systems requires the implementation of multidisciplinary design o...
Large-scale problems have attracted much attention in the last decades since they arise from differ...
We are concerned with the iterative solution of linear systems with multiple right-hand sides availa...
In many engineering optimization problems, the number of function evaluations is often very limited ...
This paper addresses the problem of profit-oriented disassembly line design and balancing considerin...
Viscoelastic materials are often characterized by a completely monotone kernel : this gives rise to ...
Cours sur invitation donné lors de l'Action Nationale de Formation CNRS intitulée: "Réduction de la ...