Results 31 to 40 of about 78 (77)

Uncontrolled inexact information within bundle methods

EURO Journal on Computational Optimization, 2017
We consider convex non-smooth optimization problems where additional information with uncontrolled accuracy is readily available. It is often the case when the objective function is itself the output of an optimization solver, as for large-scale energy ...
Jérôme Malick, Welington de Oliveira, Sofia Zaourar   +2 more
doaj   +1 more source

Modified four-term conjugate gradient method with applications in image restoration and regression problem

Demonstratio Mathematica
The conjugate gradient (CG) method is recognized for resolving unconstrained optimization problems because of its efficiency, robustness, and minimal memory demands.
Masmali Sultanah, Alhawarat Ahmad, Salleh Zabidin, Masmali Ibtisam, Sabra Ramadan   +4 more
doaj   +1 more source

Performance Bounds For Co-/Sparse Box Constrained Signal Recovery

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2019
The recovery of structured signals from a few linear measurements is a central point in both compressed sensing (CS) and discrete tomography. In CS the signal structure is described by means of a low complexity model e.g. co-/sparsity.
Kuske Jan, Petra Stefania
doaj   +1 more source

A novel four-term conjugate gradient method for large-scale optimization problems involving formulation and application

Franklin Open
The conjugate gradient (CG) method is widely employed for solving unconstrained optimization problems due to its independence from second derivatives or their approximations. It has found extensive applications in fields such as image restoration, neural
Ahmad Alhawarat, Sulaiman M. Ibrahim, Abdullah S. Al-Jawarneh, Mohammad N Al Smadi, Shahrina Ismail   +4 more
doaj   +1 more source

A fast continuous time approach with time scaling for nonsmooth convex optimization. [PDF]

Adv Contin Discret Model, 2022
Boţ RI, Karapetyants MA.
europepmc   +1 more source

Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates. [PDF]

Math Program, 2023
Boţ RI, Csetnek ER, Nguyen DK.
europepmc   +1 more source

Local convergence of tensor methods. [PDF]

Math Program, 2022
Doikov N, Nesterov Y.
europepmc   +1 more source

On the Finite Complexity of Solutions in a Degenerate System of Quadratic Equations: Exact Formula. [PDF]

Entropy (Basel), 2023
Brezhneva O, Prusińska A, Tret'yakov AA.   +2 more
europepmc   +1 more source

Implementable tensor methods in unconstrained convex optimization. [PDF]

Math Program, 2021
Nesterov Y.
europepmc   +1 more source

Forecasting the action of CAR-T cells against SARS-corona virus-II infection with branching process. [PDF]

Model Earth Syst Environ, 2022
Al-Utaibi KA, Nutini A, Sohail A, Arif R, Tunc S, Sait SM.   +5 more
europepmc   +1 more source