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Conditional gradient methods
G Braun, A Carderera, CW Combettes… - ar** field of numerical
analysis and computer methods. The second edition is completely updated and continues to …
analysis and computer methods. The second edition is completely updated and continues to …
Iterative parameter estimation for signal models based on measured data
L Xu, F Ding - Circuits, Systems, and Signal Processing, 2018 - Springer
This paper studies the modeling of multi-frequency signals based on measured data. With
the use of the hierarchical identification principle and the iterative search, several iterative …
the use of the hierarchical identification principle and the iterative search, several iterative …
Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications
We address the solution of constrained nonlinear systems by new linesearch quasi-Newton
methods. These methods are based on a proper use of the projection map onto the convex …
methods. These methods are based on a proper use of the projection map onto the convex …
Newton's method with feasible inexact projections for solving constrained generalized equations
This paper aims to address a new version of Newton's method for solving constrained
generalized equations. This method can be seen as a combination of the classical Newton's …
generalized equations. This method can be seen as a combination of the classical Newton's …
A Newton Frank–Wolfe method for constrained self-concordant minimization
We develop a new Newton Frank–Wolfe algorithm to solve a class of constrained self-
concordant minimization problems using linear minimization oracles (LMO). Unlike L …
concordant minimization problems using linear minimization oracles (LMO). Unlike L …
An inexact Newton-like conditional gradient method for constrained nonlinear systems
In this paper, we propose an inexact Newton-like conditional gradient method for solving
constrained systems of nonlinear equations. The local convergence of the new method as …
constrained systems of nonlinear equations. The local convergence of the new method as …
An inexact projected LM type algorithm for solving convex constrained nonlinear equations
In this paper, we propose two complementary variants of the projected Levenberg–
Marquardt (LM) algorithm for solving convex constrained nonlinear equations. Since the …
Marquardt (LM) algorithm for solving convex constrained nonlinear equations. Since the …
Secant-inexact projection algorithms for solving a new class of constrained mixed generalized equations problems
In this paper, a new version of a secant-type method for solving constrained mixed
generalized equations is addressed. The method is a combination of the secant method …
generalized equations is addressed. The method is a combination of the secant method …