Results 251 to 260 of about 163,993 (328)

How Far Are Two Symmetric Matrices From Commuting? With an Application to Object Characterisation and Identification in Metal Detection

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 3, Page 1914-1942, February 2026.
ABSTRACT Examining the extent to which measurements of rotation matrices are close to each other is challenging due measurement noise. To overcome this, data is typically smoothed, and the Riemannian and Euclidean metrics are applied. However, if rotation matrices are not directly measured and are instead formed by eigenvectors of measured symmetric ...
P. D. Ledger   +2 more
wiley   +1 more source

Limit Cycles of Continuous–Discontinuous Piecewise Linear Hamiltonian Systems in ℝ2 Separated by the Curve y=sinx

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 3, Page 2093-2097, February 2026.
ABSTRACT These last decades piecewise differential systems have been studied intensively, mainly due to their applications. Inside the study of the dynamics of these differential systems, the limit cycles, that is, the isolated periodic orbits inside the set of all periodic orbits of the system, play a main role.
N. Chachapoyas   +3 more
wiley   +1 more source

An Extended Krylov Subspace Method for Decoding Edge‐Based Compressed Images by Homogeneous Diffusion

open access: yesNumerical Linear Algebra with Applications, Volume 33, Issue 1, February 2026.
ABSTRACT The heat equation is often used to inpaint dropped data in inpainting‐based lossy compression schemes. We propose an alternative way to numerically solve the heat equation by an extended Krylov subspace method. The method is very efficient with respect to the computation of the solution of the heat equation at large times.
Volker Grimm, Kevin Liang
wiley   +1 more source

ProteinDJ: A high‐performance and modular protein design pipeline

open access: yesProtein Science, Volume 35, Issue 2, February 2026.
Abstract Leveraging artificial intelligence and deep learning to generate proteins de novo (a.k.a. ‘synthetic proteins’) has unlocked new frontiers of protein design. Deep learning models trained on protein structures can generate novel protein designs that explore structural landscapes unseen by evolution.
Dylan Silke   +6 more
wiley   +1 more source

Multi‐Objective Robust Controller Synthesis With Integral Quadratic Constraints in Discrete‐Time

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 3, Page 935-954, February 2026.
ABSTRACT This article presents a novel framework for the robust controller synthesis problem in discrete‐time systems using dynamic Integral Quadratic Constraints (IQCs). We present an algorithm to minimize closed‐loop performance measures such as the ℋ∞$$ {\mathscr{H}}_{\infty } $$‐norm, the energy‐to‐peak gain, the peak‐to‐peak gain, or a ...
Lukas Schwenkel   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy