Results 61 to 70 of about 213 (150)
A new multisection technique in interval methods for global optimization
A new multisection technique in interval methods for global optimization is investigated, and numerical tests demonstrate that the e ciency of the underlying global optimization method can be improved substantially.
I. Garcõâ A +4 more
core +1 more source
On the accurate identification of active constraints
. We consider nonlinear programs with inequality constraints, and we focus on the problem of identifying those constraints which will be active at an isolated local solution.
Francisco Facchinei +4 more
core +1 more source
Navigating large-scale unconstrained optimization complexities requires a synergistic integration of the low memory footprint of conjugate gradient (CG) methods with the fast convergence of quasi-Newton (QN) methods.
M. Salimi Khorshidi, N. Bidabadi
doaj +1 more source
A fast continuous time approach with time scaling for nonsmooth convex optimization. [PDF]
Boţ RI, Karapetyants MA.
europepmc +1 more source
Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates. [PDF]
Boţ RI, Csetnek ER, Nguyen DK.
europepmc +1 more source
Local convergence of tensor methods. [PDF]
Doikov N, Nesterov Y.
europepmc +1 more source
New Hybrid Conjugate Gradient Method as a Convex Combination of PRP and RMIL+ Methods
The Conjugate Gradient (CG) method is a powerful iterative approach for solving large-scale minimization problems, characterized by its simplicity, low computation cost and good convergence. In this paper, a new hybrid conjugate gradient HLB method (HLB:
BENZINE, Rachid +3 more
core +1 more source
On the Finite Complexity of Solutions in a Degenerate System of Quadratic Equations: Exact Formula. [PDF]
Brezhneva O +2 more
europepmc +1 more source
Implementable tensor methods in unconstrained convex optimization. [PDF]
Nesterov Y.
europepmc +1 more source
Forecasting the action of CAR-T cells against SARS-corona virus-II infection with branching process. [PDF]
Al-Utaibi KA +5 more
europepmc +1 more source

