International audienceWe provide a formula for variational quasi-Newton updates with multiple weighted secant equations. The derivation of the formula leads to a Sylvester equation in the correction matrix. Examples are given
110 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.Finally, we propose a new cla...
110 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.Finally, we propose a new cla...
Working with Quasi-Newton methods in optimization leads to one important challenge, being to find an...
For Quasi-Newton methods, one of the most important challenges is to find an estimate of the Jacobia...
Quasi-Newton (qN) techniques approximate the Newton step by estimating the Hessian using the so-call...
Abstract. The notion of least-change secant updates is extended to apply to nonsquare matrices in a ...
Quasi-Newton methods are often used in the frame of non-linear optimization. In those methods, the q...
Quasi-Newton methods are often used in the frame of non-linear optimization. In those methods, the q...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
One of the frequently used families of methods for the resolution of non-linear optimization problem...
Quasi-Newton method has been widely used in solving unconstrained optimization problems. The popular...
Quasi-Newton method has been widely used in solving unconstrained optimization problems. The popular...
Quasi-Newton method has been widely used in solving unconstrained optimization problems. The popular...
In many problems involving the solution of a system of non-linear equations, it is necessary to keep...
In many problems involving the solution of a system of nonlinear equations, it is necessary to keep...
110 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.Finally, we propose a new cla...
110 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.Finally, we propose a new cla...
Working with Quasi-Newton methods in optimization leads to one important challenge, being to find an...
For Quasi-Newton methods, one of the most important challenges is to find an estimate of the Jacobia...
Quasi-Newton (qN) techniques approximate the Newton step by estimating the Hessian using the so-call...
Abstract. The notion of least-change secant updates is extended to apply to nonsquare matrices in a ...
Quasi-Newton methods are often used in the frame of non-linear optimization. In those methods, the q...
Quasi-Newton methods are often used in the frame of non-linear optimization. In those methods, the q...
AbstractPractical quasi-Newton methods for solving nonlinear systems are surveyed. The definition of...
One of the frequently used families of methods for the resolution of non-linear optimization problem...
Quasi-Newton method has been widely used in solving unconstrained optimization problems. The popular...
Quasi-Newton method has been widely used in solving unconstrained optimization problems. The popular...
Quasi-Newton method has been widely used in solving unconstrained optimization problems. The popular...
In many problems involving the solution of a system of non-linear equations, it is necessary to keep...
In many problems involving the solution of a system of nonlinear equations, it is necessary to keep...
110 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.Finally, we propose a new cla...
110 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.Finally, we propose a new cla...
Working with Quasi-Newton methods in optimization leads to one important challenge, being to find an...
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