Results 51 to 60 of about 49,792,933 (254)

Exact Nonlinear Spectral Analysis of Nonsmooth WENO-JS Solutions

open access: yesJournal of Applied Mathematics, 2023
The fifth-order accurate Weighted Essentially Nonoscillatory space discretization developed by Jiang and Shu (WENO-JS) is studied theoretically. An exact Nonlinear Spectral Method (NSM) is developed based on an innovative yet simple methodology.
Tamer H. M. A. Kasem
doaj   +1 more source

Distributed Continuous-Time Algorithm for Constrained Convex Optimizations via Nonsmooth Analysis Approach [PDF]

open access: yesIEEE Transactions on Automatic Control, 2015
This technical note studies the distributed optimization problem of a sum of nonsmooth convex cost functions with local constraints. At first, we propose a novel distributed continuous-time projected algorithm, in which each agent knows its local cost ...
Xianlin Zeng, Peng Yi, Yi-Guang Hong
semanticscholar   +1 more source

Geometric Control and Nonsmooth Analysis

open access: yes, 2008
The volume provides a synthetic account of past research, to give an up-to-date guide to current intertwined developments of control theory and nonsmooth analysis, and also to point to future research directions.
MARCHI C. . ANCONA F.   +16 more
core   +1 more source

A sufficient condition for metric subregularity of set-valued mappings between Asplund spaces based on an outer-coderivative-like variational tool

open access: yesHeliyon, 2023
In this study, we examine the Generalized Equations' subregularity in Asplund spaces utilizing a novel approach. We obtain sufficient conditions for a family of multifunctions to be metrically subregular which are stronger than the known sufficient ...
Matthieu Maréchal
doaj   +1 more source

Analysis of limited-memory BFGS on a class of nonsmooth convex functions [PDF]

open access: yesIMA Journal of Numerical Analysis, 2018
The limited-memory BFGS (Broyden-Fletcher-Goldfarb-Shanno) method is widely used for large-scale unconstrained optimization, but its behavior on nonsmooth problems has received little attention. L-BFGS (limited memory BFGS) can be used with or without ‘
Azam Asl, M. Overton
semanticscholar   +1 more source

An Analysis of the Modified L1 Scheme for Time-Fractional Partial Differential Equations with Nonsmooth Data

open access: yesSIAM Journal on Numerical Analysis, 2018
We introduce a modified L1 scheme for solving time fractional partial differential equations and obtain error estimates for smooth and nonsmooth initial data in both homogeneous and inhomogeneous cases. Jin, Lazarov, and Zhou [IMA J. Numer.
Yu-Bin Yan, Monzorul Khan, N. Ford
semanticscholar   +1 more source

Sensor based planning and nonsmooth analysis [PDF]

open access: yesProceedings of the 1994 IEEE International Conference on Robotics and Automation, 2002
This paper describes some initial steps towards sensor based path planning in an unknown static environment. The method is a based on a sensor-based incremental construction of a one-dimensional retract of the free space. In this paper we introduce a retract termed the generalized Voronoi graph, and also analyze the roadmap of Canny and Lin's ...
Choset, Howie, Burdick, Joel
openaire   +2 more sources

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

open access: yesAdvanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui   +4 more
wiley   +1 more source

Nonsmooth analysis approach to Isaac's equation

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1993
We study Isaacs' equation (∗)wt(t,x)+H(t,x,wx(t,x))=0 (H is a highly nonlinear function) whose “natural” solution is a value W(t,x) of a suitable differential game.
Leszek S. Zaremba
doaj   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Home - About - Disclaimer - Privacy