Results 111 to 120 of about 17,902,926 (294)

On Efficient Iterative Algorithms and Conditioning for the Nonlinear Sylvester Equation

Computational and Mathematical Methods
Nonlinear Sylvester-type matrix equations arise in applications such as control theory, observer design, model reduction, and data-driven systems, where they model higher order interactions in matrix transformations.
Constantino Mahinya, Chacha Stephen Chacha   +1 more
doaj   +1 more source

Mixed complementarity problems: Regularity, error bounds, and Newton-type methods

, 2020
This paper is devoted to mixed complementarity problems (variational inequalities on a box). This class includes many important problem statements, for example, systems of equations, conventional complementarity problems, and Karush-Kuhn-Tucker systems ...
Daryina A.N., Solodov M.V., Izmailov A.F.   +2 more
core  

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced 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

A Unified Kantorovich-type Convergence Analysis of Newton-like Methods for Solving Generalized Equations under the Aubin Property

European Journal of Mathematical Analysis
Numerous applications from diverse disciplines reduce to solving generalized equations in a Banach space setting. These equations are solved mostly iteratively, when a sequence is generated approximating a solution provided that certain conditions are ...
Samundra Regmi, Ioannis K. Argyros, Santhosh George, Jefferey Warden   +3 more
doaj   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Newton-type regularization methods for nonlinear inverse problems [PDF]

, 2016
Inverse problems arise whenever one searches for unknown causes based on observation of their effects. Such problems are usually ill-posed in the sense that their solutions do not depend continuously on the data.
Jin, Qinian
core  

Adaptive Collision Sensitivity for Efficient and Safe Human–Robot Collaboration

Advanced Intelligent Systems, EarlyView.
An adaptive collision‐sensitivity framework uses each robot link's effective mass to estimate contact forces online and decide when collaborative robots should stop or continue. Tested on simulated and real UR10e and simulated KUKA arms, it maintains conservative force estimates while reducing unnecessary stops and increasing task productivity. What is
Lukas Rustler, Matej Misar, Matej Hoffmann   +2 more
wiley   +1 more source

Quantifying Structure‐Dependent Rigidity of 3D DNA Origami Boxes

Advanced Intelligent Systems, EarlyView.
We investigate the mechanical stability of a hollow 3D DNA origami box during assembly using liquid AFM imaging and finite element simulations. As structural completeness increases from flat sheets through intermediate assemblies to a closed box, rigidity improves.
Judith Zubia‐Aranburu, Reza Zadegan, Jens Vinge Nygaard, Jørgen Kjems, Ramesh Subramani, Mingdong Dong   +5 more
wiley   +1 more source