Results 91 to 100 of about 12,439,103 (299)

Economic Profitability of ESG Investments in the Wine Sector: A Bibliometric Systematic Literature Review

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines whether and under which conditions ESG investments are associated with profitability in the wine sector. A PRISMA‐guided bibliometric–systematic review of 83 peer‐reviewed articles from Scopus and Web of Science combines bibliometric mapping, qualitative synthesis, and MMAT‐based quality appraisal.
Niccolò Lombardi
wiley   +1 more source

Decentralized Inexact Cubic Newton Method With Consensus Procedure

IEEE Access
Distributed optimization is widely used in large-scale and privacy-preserving machine learning, where each agent stores a local objective and communicates only with its neighbors in a connected network.
Artem Agafonov, Anton Novitskii, Alexander Rogozin, Yury Sokolov, Dmitry Kamzolov, Alexander G. Dyakonov, Martin Takac, Alexander Gasnikov   +7 more
doaj   +1 more source

Generalized Newton method for energy formulations in image processing

, 2008
1 online resource (PDF, 33 pages, includes illustrations)Bar, Leah; Sapiro, Guillermo. (2008). Generalized Newton method for energy formulations in image processing.
Sapiro, Guillermo, Bar, Leah
core  

Métodos de Krylov-Newton aplicados à simulação numérica de reservatórios de petróleo [PDF]

, 2000
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico.A simulação do processo de extração de óleo em um reservatório de petróleo é um problema complexo que envolve o escoamento multifásico em um meio poroso de geometria ...
Lucianetti, Rodrigo Machado
core  

Computation of generalized differentials in nonlinear complementarity problems

, 2010
B-differential, Clarke generalized Jacobian, Fréchet differential, Complementarity problem, NCP-function, Generalized Newton method, Error bound,
Xiaojun Chen, Shuhuang Xiang
core   +1 more source

Oogenesis and germinal bed morphology of the brown anole (A. sagrei)

Developmental Dynamics, EarlyView.
Abstract Background The brown anole is a model species of the genus Anolis, a squamate (encompassing lizards and snakes) group widely studied in evolutionary, behavioral, and developmental biology. Full genome annotation, the establishment of gene editing techniques, and comprehensive description of reproductive tract morphology and embryogenesis in ...
Bonnie K. Kircher, Antonia Weberling, Erin J. Vance, Natalia A. Shylo, Katherine Starr, Zoe B. Griffin, Hannah Wilson, Melainia McClain, Florian Hollfelder, Suzannah A. Williams, Thomas J. Sanger, Richard R. Behringer, Paul A. Trainor   +12 more
wiley   +1 more source

Next‐Generation Seismic Performance Assessment Through Multi‐Component Ground Motion Compatible Intensifying Artificial Acceleration

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Despite the crucial need for fully quantitative risk assessment of large‐scale structures, their performance is typically assessed through deterministic or semi‐quantitative approaches. The main preventing factor is the computational burden of probabilistic seismic analyses.
M. Amin Hariri‐Ardebili, Giacomo Sevieri, Carlo Resta, Golsa Mahdavi, Anna De Falco, Siamak Sattar, Sissy Nikolaou   +6 more
wiley   +1 more source

Convergence analysis of a regularized Newton method with generalized regularization terms for unconstrained convex optimization problems [PDF]

This paper presents a regularized Newton method (RNM) with generalized regularization terms for unconstrained convex optimization problems. The generalized regularization includes quadratic, cubic, and elastic net regularizations as special cases ...
Yamashita, Nobuo, Yamakawa, Yuya
core   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

Energy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder, Mostafa M. Abdelhafiz, Khizar Shahid, Gunther Brenner   +3 more
wiley   +1 more source

A New Algorithm to Approximate Bivariate Matrix Function via Newton-Thiele Type Formula

Journal of Applied Mathematics, 2013
A new method for computing the approximation of bivariate matrix function is introduced. It uses the construction of bivariate Newton-Thiele type matrix rational interpolants on a rectangular grid. The rational interpolant is of the form motivated by Tan
Rongrong Cui, Chuanqing Gu
doaj   +1 more source