Zobrazeno 1 - 10
of 5 406
pro vyhledávání: '"Liuzzi A"'
In this work, we propose the joint use of a mixed penalty-logarithmic barrier approach and generating set search, for addressing nonlinearly constrained derivative-free optimization problems. A merit function is considered, wherein the set of inequal
Externí odkaz:
http://arxiv.org/abs/2407.21634
In this paper we consider bound-constrained mixed-integer optimization problems where the objective function is differentiable w.r.t.\ the continuous variables for every configuration of the integer variables. We mainly suggest to exploit derivative
Externí odkaz:
http://arxiv.org/abs/2407.14416
In this work, we consider smooth unconstrained optimization problems and we deal with the class of gradient methods with momentum, i.e., descent algorithms where the search direction is defined as a linear combination of the current gradient and the
Externí odkaz:
http://arxiv.org/abs/2403.17613
In this paper, we analyze a derivative-free line search method designed for bound-constrained problems. Our analysis demonstrates that this method exhibits a worst-case complexity comparable to other derivative-free methods for unconstrained and line
Externí odkaz:
http://arxiv.org/abs/2402.10801
Autor:
Susemiehl, Nicholas, Mandell, Avi M., Villanueva, Geronimo L., Liuzzi, Giuliano, Moore, Michael, Baines, Tyler, Himes, Michael D., Smith, Adam J. R. W.
Techniques to retrieve the atmospheric properties of exoplanets via direct observation of their reflected light have often been limited in scope due to computational constraints imposed by the forward-model calculations. We have developed a new set o
Externí odkaz:
http://arxiv.org/abs/2308.00057
The supervised training of a deep neural network on a given dataset consists in the unconstrained minimization of the finite sum of continuously differentiable functions, commonly referred to as loss with respect to the samples. These functions depen
Externí odkaz:
http://arxiv.org/abs/2307.15775
Autor:
Villanueva, G. L., Hammel, H. B., Milam, S. N., Kofman, V., Faggi, S., Glein, C. R., Cartwright, R., Roth, L., Hand, K. P., Paganini, L., Spencer, J., Stansberry, J., Holler, B., Rowe-Gurney, N., Protopapa, S., Strazzulla, G., Liuzzi, G., Cruz-Mermy, G., Moutamid, M. El, Hedman, M., Denny, K.
Enceladus is a prime target in the search for life in our solar system, having an active plume likely connected to a large liquid water subsurface ocean. Using the sensitive NIRSpec instrument onboard JWST, we searched for organic compounds and chara
Externí odkaz:
http://arxiv.org/abs/2305.18678
In this paper we propose an heuristic to improve the performances of the recently proposed derivative-free method for nonsmooth optimization CS-DFN. The heuristic is based on a clustering-type technique to compute a direction { which relies on an est
Externí odkaz:
http://arxiv.org/abs/2302.05278
This paper is devoted to the analysis of worst case complexity bounds for linesearch-type derivative-free algorithms for the minimization of general non-convex smooth functions. We prove that two linesearch-type algorithms enjoy the same complexity p
Externí odkaz:
http://arxiv.org/abs/2302.05274
Autor:
Barclay, Thomas, Sheppard, Kyle B., Latouf, Natasha, Mandell, Avi M., Quintana, Elisa V., Gilbert, Emily A., Liuzzi, Giuliano, Villanueva, Geronimo L., Arney, Giada, Brande, Jonathan, Colón, Knicole D., Covone, Giovanni, Crossfield, Ian J. M., Damiano, Mario, Domagal-Goldman, Shawn D., Fauchez, Thomas J., Fiscale, Stefano, Gallo, Francesco, Hedges, Christina L., Hu, Renyu, Kite, Edwin S., Koll, Daniel, Kopparapu, Ravi K., Kostov, Veselin B., Kreidberg, Laura, Lopez, Eric D., Mang, James, Morley, Caroline V., Mullally, Fergal, Mullally, Susan E., Pidhorodetska, Daria, Schlieder, Joshua E., Vega, Laura D., Youngblood, Allison, Zieba, Sebastian
We present observations of the 1.35+/-0.07 Earth-radius planet L 98-59 c using Wide Field Camera~3 on the Hubble Space Telescope. L 98-59 is a nearby (10.6 pc), bright (H=7.4 mag), M3V star that harbors three small, transiting planets. As one of the
Externí odkaz:
http://arxiv.org/abs/2301.10866