Results 31 to 40 of about 18,331 (226)
Superlinear Convergence of Smoothing Quasi-Newton Methods for Nonsmooth Equations
We study local convergence of smoothing quasi-Newton methods for solving a system of nonsmooth (nondifferentiable) equations in ! n . The feature of smoothing quasi-Newton methods is to use a smooth function to approximate the nonsmooth mapping and ...
Xiaojun Chen, Chen, Xiaojun
core +1 more source
In this paper, two modifications for spectral quasi-Newton algorithm of type BFGS are imposed. In the first algorithm, named SQNEI, a certain spectral parameter is used in such a step for BFGS algorithm differs from other presented algorithms.
Evar Lutfalla Sadraddin +1 more
doaj +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Fully programmable, in‐process 3D magnetization integrated with multi‐material printing enables soft magnetic systems with precise actuation and sensing. Discrete and continuous magnetization profiles drive bending, morphing, and locomotion, demonstrated through strain‐sensing elements, dragonfly‐inspired wings, octopus‐like tentacles, and a serpentine
Phillip Glass +5 more
wiley +1 more source
Métodos de Krylov-Newton aplicados à simulação numérica de reservatórios de petróleo [PDF]
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
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Newton type methods for solving a Hasegawa–Mima plasma model [PDF]
In Karakazian and Nassif (2019), the non-linear space-time Hasegawa–Mima plasma equation is formulated as a coupled system of two linear PDEs, a solution of which is a pair (u,w), with w=(I−Δ)u.
Nabil R. Nassif +3 more
core +1 more source
Surface Charges Guided Quasi‐TEM‐mode Microwave Propagation along Dielectric Nanowire
According to Maxwell's equations, a single‐conductor transmission line cannot allow TEM‐mode electromagnetic wave propagation, however, this is based upon the assumption that dielectric material is isolated from the environment. In practice, surface electrostatic charges widely existed in nano‐materials with large surface‐to‐volume ratio.
BoYan Xu +7 more
wiley +1 more source
Quasi-newton Methods For Solving Underdetermined Nonlinear Simultaneous Equations
We analyze iterative processes of type xk+1 = xk - π(xk, Ek)F(xk) for solving F(x) = 0, F:Rn → Rm, m ≤ n. Parameters Ek are updated at each iteraction using least-change secant update procedures. We prove local, linear and superlinear convergence results.
Martinez J.
core +2 more sources

