Results 91 to 100 of about 13,500,255 (277)
On the high convergence orders of the Newton-GMBACK methods
The high convergence orders of the Newton-GMBACK methods can be characterized applying three different existing results. In this note we show by some direct computations that these characterizations are equivalent.
Emil Cătinaş
doaj +2 more sources
Zeroth-Order Riemannian Adaptive Regularized Proximal Quasi-Newton Optimization Method
Recently, the adaptive regularized proximal quasi-Newton (ARPQN) method has demonstrated a strong performance in solving composite optimization problems over the Stiefel manifold.
Yinpu Ma +3 more
doaj +1 more source
Quasi-newton Methods With Derivatives
When the Jacobian of a nonlinear system of equation is fully available, the main drawback for the application of Newton's method is the linear algebra work associated with its basic iteration.
Martinez J.M.
core +1 more source
Sliding Mode Control and Observation for Upper Limb Robotics Rehabilitation
ABSTRACT Stroke is a leading cause of upper limb motor impairments, which often require rehabilitation. General purpose robotic manipulators enable effective therapy through exercises such as Center Out Point‐to‐Point (CO‐PTP) and Teach‐and‐Track (TT), which respectively demand accurate estimation and rejection of the interaction force exerted by the ...
Antonella Ferrara +2 more
wiley +1 more source
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley +1 more source
An evaluation of quasi-Newton methods for application to FSI problems involving free surface flow and solid body contact [PDF]
The design of coupling algorithms for partitioned fluid-structure interaction (FSI) simulations are typically validated on FSI problems involving large deformations of thin elastic structures with large added mass ratios.
Franz, Thierry +3 more
core +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Electrostatic clutches offer programmable variable stiffness for multi‐DOF robots, but their continuous motion is usually bottlenecked by spatial constraints and detachment delays. Here, the authors report a compact annular electrostatic clutch joint with a biphasic amplitude‐frequency modulation strategy to rapidly mitigate residual polarization ...
Haochen Yong +5 more
wiley +1 more source
In the complex underwater environment, the performance of microelectro-mechanical system sensors is degraded sharply and the errors will become much larger.
Haoqian Huang +6 more
doaj +1 more source
Quasi Newton methods for bound constrained problems [PDF]
Diese Arbeit befasst sich mit Methoden zur Lösung von hochdimensionalen Optimierungsproblemen mit einfachen Schranken. Probleme dieser Art tauchen in einer grossen Anzahl von unterschiedlichen Anwendungen auf und spielen eine entscheidende Rolle in ...
Azmi, Behzad
core

