scholar.google.com › citations
Abstract: This paper introduces a novel technique for nonlinear acceleration of first-order methods for constrained convex optimization.
ABSTRACT. This paper introduces a novel technique for nonlinear ac- celeration of first-order methods for constrained convex op- timization.
ABSTRACT. This paper introduces a novel technique for nonlinear ac- celeration of first-order methods for constrained convex op- timization.
Feb 1, 2023 · A new class of accelerated first-order algorithms for constrained optimization. Unlike Frank-Wolfe or projected gradients, these algorithms avoid optimization ...
Missing: Acceleration | Show results with:Acceleration
[16][17] [18] [19] AA requires solving a least-squares problem at each fixed-point iteration, and this can be computationally expensive for scientific ...
Constrained minimization is the problem of finding a vector x that is a local minimum to a scalar function f(x) subject to constraints on the allowable x.
Missing: Acceleration | Show results with:Acceleration
We propose a more direct approach, which we call direct nonlinear acceleration (DNA). In DNA, we aim to minimize (an approximation of) the function value at ...
ABSTRACT. We describe a convergence acceleration technique for generic optimization problems. Our scheme computes estimates of the optimum from a nonlinear ...
Presentation: Lecture ; Topic: Signal Processing Theory and Methods: Optimization Tools ; Paper Title: NONLINEAR ACCELERATION OF CONSTRAINED OPTIMIZATION ...
The NLPNMS and NLPQN subroutines permit nonlinear constraints on parameters. For problems with nonlinear constraints, these subroutines do not use a feasible-.