Quasi-Newton (qN) techniques approximate the Newton step by estimating the Hessian using the so-called secant equations. Some of these methods compute the Hessian using several secant equations but produce non-symmetric updates. Other quasi-Newton schemes, such as BFGS, enforce symmetry but cannot satisfy more than one secant equation. We propose a new type of quasi-Newton symmetric update using several secant equations in a least-squares sense. Our approach generalizes and unifies the design of quasi-Newton updates and satisfies provable robustness guarantees
In optimization, one of the main challenges of the widely used family of Quasi-Newton methods is to ...
We present a new quasi-Newton method that can solve systems of equations of which no information is ...
We present a new quasi-Newton method that can solve systems of equations of which no information is ...
For Quasi-Newton methods, one of the most important challenges is to find an estimate of the Jacobia...
The class of Least Change Secant Update Quasi-Newton (LCSU QN) methods is often used for root findin...
Symmetric rank-one (SR1) is one of the competitive formulas among the quasi-Newton (QN) methods. In ...
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...
International audienceWe provide a formula for variational quasi-Newton updates with multiple weight...
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...
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 methods” are amongst the mainly useful and competent iterative process for solving unre...
In optimization, one of the main challenges of the widely used family of Quasi-Newton methods is to ...
We present a new quasi-Newton method that can solve systems of equations of which no information is ...
We present a new quasi-Newton method that can solve systems of equations of which no information is ...
For Quasi-Newton methods, one of the most important challenges is to find an estimate of the Jacobia...
The class of Least Change Secant Update Quasi-Newton (LCSU QN) methods is often used for root findin...
Symmetric rank-one (SR1) is one of the competitive formulas among the quasi-Newton (QN) methods. In ...
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...
International audienceWe provide a formula for variational quasi-Newton updates with multiple weight...
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...
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 methods” are amongst the mainly useful and competent iterative process for solving unre...
In optimization, one of the main challenges of the widely used family of Quasi-Newton methods is to ...
We present a new quasi-Newton method that can solve systems of equations of which no information is ...
We present a new quasi-Newton method that can solve systems of equations of which no information is ...