Zobrazeno 1 - 10
of 992
pro vyhledávání: '"Jefferson, G"'
This paper analyzes the convergence rates of the {\it Frank-Wolfe } method for solving convex constrained multiobjective optimization. We establish improved convergence rates under different assumptions on the objective function, the feasible set, an
Externí odkaz:
http://arxiv.org/abs/2406.06457
This paper presents and investigates an inexact proximal gradient method for solving composite convex optimization problems characterized by an objective function composed of a sum of a full domain differentiable convex function and a non-differentia
Externí odkaz:
http://arxiv.org/abs/2404.10987
Autor:
Pires, Diego Paiva, deAzevedo, Eduardo R., Soares-Pinto, Diogo O., Brito, Frederico, Filgueiras, Jefferson G.
Publikováno v:
Communications Physics 7, 142 (2024)
We studied geometric quantum speed limits (QSL) of a qubit subject to decoherence in an ensemble of chloroform molecules in a Nuclear Magnetic Resonance experiment. The QSL is a fundamental lower bound on the evolution time for quantum systems underg
Externí odkaz:
http://arxiv.org/abs/2307.06558
Effects of clays on spin-spin relaxation: a route for non-invasive total clay content quantification
Autor:
Filgueiras, Jefferson G., de Miranda, Matheus S. J., Semiramis, Carla S., de Azeredo, Rodrigo B. V.
Clay minerals are important components of sandstone rocks, due to their significant role in petrophysical properties like porosity and permeability. These minerals have a particular impact on Nuclear Magnetic Resonance measurements since the iron ins
Externí odkaz:
http://arxiv.org/abs/2307.01255
Autor:
Diego Paiva Pires, Eduardo R. deAzevedo, Diogo O. Soares-Pinto, Frederico Brito, Jefferson G. Filgueiras
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract The quantum speed limit (QSL) is a fundamental lower bound on the evolution time for quantum systems, and its tightness has been observed to be dependent on the properties of the physical process. However, experimental studies exploring the
Externí odkaz:
https://doaj.org/article/d901a63d5396484cbf64b1e99fc21d51
Autor:
Márcio L. Bazante, Paul J. M. Maas, Geovane S. Siqueira, Jefferson G. Lima, Renata G. Udulutsch, Maria Regina de V. Barbosa
Publikováno v:
Acta Botânica Brasílica, Vol 38 (2024)
Abstract A new species of Duguetia from Reserva Natural Vale, in the Atlantic Forest of the Brazilian state of Espírito Santo, is described and illustrated, and an updated key to the Duguetia species from this state is presented. Duguetia rolimii is
Externí odkaz:
https://doaj.org/article/be12a7fff3f2410a80898bbf23d58c01
Autor:
Thais M. Rosan, Stephen Sitch, Michael O’Sullivan, Luana S. Basso, Chris Wilson, Camila Silva, Emanuel Gloor, Dominic Fawcett, Viola Heinrich, Jefferson G. Souza, Francisco Gilney Silva Bezerra, Celso von Randow, Lina M. Mercado, Luciana Gatti, Andy Wiltshire, Pierre Friedlingstein, Julia Pongratz, Clemens Schwingshackl, Mathew Williams, Luke Smallman, Jürgen Knauer, Vivek Arora, Daniel Kennedy, Hanqin Tian, Wenping Yuan, Atul K. Jain, Stefanie Falk, Benjamin Poulter, Almut Arneth, Qing Sun, Sönke Zaehle, Anthony P. Walker, Etsushi Kato, Xu Yue, Ana Bastos, Philippe Ciais, Jean-Pierre Wigneron, Clement Albergel, Luiz E. O. C. Aragão
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-15 (2024)
Abstract The Amazon is the largest continuous tropical forest in the world and plays a key role in the global carbon cycle. Human-induced disturbances and climate change have impacted the Amazon carbon balance. Here we conduct a comprehensive synthes
Externí odkaz:
https://doaj.org/article/ded88fadcbf247f8b42bdf2818a682d3
The purpose of this technical report is to review the main properties of an accelerated composite gradient (ACG) method commonly referred to as the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA). In addition, we state a version of FISTA for
Externí odkaz:
http://arxiv.org/abs/2107.01267
This paper proposes and analyzes a proximal augmented Lagrangian (NL-IAPIAL) method for solving smooth nonconvex composite optimization problems with nonlinear $\cal K$-convex constraints, i.e., the constraints are convex with respect to the order gi
Externí odkaz:
http://arxiv.org/abs/2008.07080
This paper establishes the iteration-complexity of an inner accelerated inexact proximal augmented Lagrangian (IAIPAL) method for solving linearly-constrained smooth nonconvex composite optimization problems that is based on the classical augmented L
Externí odkaz:
http://arxiv.org/abs/2008.00562