Results 61 to 70 of about 13,500,255 (277)

Fluorescent Colored Passive Radiative Cooling Based on Carbon Dots for Cooling Power Recovery

EcoEnergy, EarlyView.
We demonstrate colored passive radiative coolers consisting of a highly reflective porous ceramic base covered by an eco‐friendly luminescent carbon dot‐polymer composite, with two types of carbon dots enabling conversion of either ultraviolet or visible light, respectively.
Lin Liang, Chui Ting Kwok, Maksim Miropoltsev, Kaixin Lin, Elena V. Ushakova, Yang Fu, Wenqi Wang, Hao Li, Dong Lv, Yihao Zhu, Wenjie Liu, Andrey L. Rogach, Chi Yan Tso   +12 more
wiley   +1 more source

ROBUST QUASI-NEWTON EQUATIONS IN QUASI-NEWTON METHOD FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS

Barekeng
Quasi-Newton methods are among the most widely used and effective general-purpose algorithms for unconstrained optimization. These methods traditionally rely on the quasi-Newton equation, which serves as the foundation for updating approximations of the
Basim A. Hassan, Manal I. Mohammed
doaj   +1 more source

A scaled three-term conjugate gradient method for unconstrained optimization

Journal of Inequalities and Applications, 2016
Conjugate gradient methods play an important role in many fields of application due to their simplicity, low memory requirements, and global convergence properties.
Ibrahim Arzuka, Mohd R Abu Bakar, Wah June Leong   +2 more
doaj   +1 more source

Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods [PDF]

, 2022
Optimization is important in machine learning problems, and quasi-Newton methods have a reputation as the most efficient numerical schemes for smooth unconstrained optimization.
Lin, Dachao, Ye, Haishan, Zhang, Zhihua
core  

Finite Element Analysis for Li Batteries at the Mesoscale

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Finite element analysis (FEA), through multi‐physics coupling, has been widely employed to calculate mesoscale structures in LIBs that exhibit inherent randomness and disorder (Figure a). It has been extensively applied to the investigation of critical phenomena such as Li dendrite evolution, Li+ concentration gradients, SEI film growth, particle ...
Guanwu Li, Bo Gao, Dong Wang, Weitao Zheng   +3 more
wiley   +1 more source

Action constrained quasi-Newton methods

CoRR, 2014
At the heart of Newton based optimization methods is a sequence of symmetric linear systems. Each consecutive system in this sequence is similar to the next, so solving them separately is a waste of computational effort. Here we describe automatic preconditioning techniques for iterative methods for solving such sequences of systems by maintaining an ...
Robert Mansel Gower, Jacek Gondzio
openaire   +2 more sources

A Coupled AquaCrop–Richards Model for Improved Crop Yield Prediction Through Physically Based Soil Water Dynamics

Irrigation and Drainage, EarlyView.
ABSTRACT Crop modelling is essential for agricultural water management but often relies on simplified water balance routines that limit representation of soil moisture dynamics. To address this limitation, we developed a coupled model that integrates the 1‐D Richards equation, solved using a finite difference method into the FAO AquaCrop.
Krishna Panthi, Vidya Samadi, Carlos Toxtli   +2 more
wiley   +1 more source

Efficiency and Stability of a New Hybrid Unconstrained Optimization Algorithm with Quasi-Newton Updates and Higher-Order Methods

Mathematics
We propose the higher-order quasi-Newton (HOQN) method, a hybrid algorithm for unconstrained optimization that combines Newtonian predictors with higher-order correctors derived from vector extensions of the Traub, Chun, and Ostrowski methods, along with
Alicia Cordero, Javier G. Maimó, Juan R. Torregrosa, Natanael Ureña Castillo   +3 more
doaj   +1 more source

Two Two‐Tier Stochastic Frontier Replications

Journal of Applied Econometrics, EarlyView.
ABSTRACT We replicate the two foundational studies which proposed the two‐tier stochastic frontier model, first in the cross‐sectional setting and then for the fixed effects panel data model. We explore matters of software then and now, different mathematical formulations of the likelihood, and alternative current software tools.
Alecos Papadopoulos, Christopher Parmeter   +1 more
wiley   +1 more source

A numerical solution of parabolic quasi-variational inequality nonlinear using Newton-multigrid method [PDF]

Iranian Journal of Numerical Analysis and Optimization
In this article, we apply three numerical methods to study the L∞-convergence of the Newton-multigrid method for parabolic quasi-variational inequalities with a nonlinear right-hand side.
M. Bahi, M. Beggas, N. Nesba, A. Imtiaz
doaj   +1 more source