Second order methods for optimization call for the solution of sequences of linear systems. In this survey we will discuss several issues related to the preconditioning of such sequences. Covered topics include both techniques for building updates of factorized preconditioners and quasi-Newton approaches. Sequences of unsymmetric linear systems arising in Newton-Krylov methods will be considered as well as symmetric positive definite sequences arising in the solution of nonlinear least-squares by Truncated Gauss-Newton methods
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...
Second ordermethods for optimization call for the solution of sequences of linear systems. In this s...
Second ordermethods for optimization call for the solution of sequences of linear systems. In this s...
Second ordermethods for optimization call for the solution of sequences of linear systems. In this s...
The approximate solution of several nonlinear optimization problems requires solving sequences of sy...
The approximate solution of several nonlinear optimization problems requires solving sequences of sy...
The approximate solution of several nonlinear optimization problems requires solving sequences of sy...
The approximate solution of several nonlinear optimization problems requires solving sequences of sy...
Efficient solution of sequences of linear systems is a task arising in numerous applications in engi...
We propose a framework for building preconditioners for sequences of linear systems of the form (A+Δ...
We propose a framework for building preconditioners for sequences of linear systems of the form (A+Δ...
We propose a framework for building preconditioners for sequences of linear systems of the form $(A+...
Abstract. In this paper preconditioners for solving the linear systems of the Newton method in each ...
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...
Second ordermethods for optimization call for the solution of sequences of linear systems. In this s...
Second ordermethods for optimization call for the solution of sequences of linear systems. In this s...
Second ordermethods for optimization call for the solution of sequences of linear systems. In this s...
The approximate solution of several nonlinear optimization problems requires solving sequences of sy...
The approximate solution of several nonlinear optimization problems requires solving sequences of sy...
The approximate solution of several nonlinear optimization problems requires solving sequences of sy...
The approximate solution of several nonlinear optimization problems requires solving sequences of sy...
Efficient solution of sequences of linear systems is a task arising in numerous applications in engi...
We propose a framework for building preconditioners for sequences of linear systems of the form (A+Δ...
We propose a framework for building preconditioners for sequences of linear systems of the form (A+Δ...
We propose a framework for building preconditioners for sequences of linear systems of the form $(A+...
Abstract. In this paper preconditioners for solving the linear systems of the Newton method in each ...
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...
Newton–Krylov methods, a combination of Newton-like methods and Krylov sub- space methods for solvi...