Results 61 to 70 of about 40,316 (199)

Sampling of non‐Gaussian Ensemble Average Propagators for the simulation of diffusion magnetic resonance images

Magnetic Resonance in Medicine, EarlyView.
Abstract Purpose (a) To design a methodology for drawing random samples of any Ensemble Average Propagator (EAP) (b) to modify the KomaMRI simulator to accommodate them as realistic spin movements to simulate diffusion MRI (dMRI) and (c) to compare these simulations with those based on the Diffusion Tensor (DT) model.
Justino R. Rodríguez‐Galván, Pablo Villacorta‐Aylagas, Susana Merino‐Caviedes, Federico Simmross‐Wattenberg, Carlos Castillo‐Passi, Pablo Irarrazaval, Antonio Tristán‐Vega, Carlos Alberola‐López   +7 more
wiley   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

Can ensemble‐based parameter estimation aid parameterization design?

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Parameterization schemes rely on uncertain empirical parameters, the values of which can be estimated objectively and iteratively with ensemble data assimilation methods. Since all sources of forecast error in the background ensemble project onto parameter adjustments, the estimated parameters may converge to implausible values or not converge at all ...
Stefano Serafin, Martin Weissmann
wiley   +1 more source

Toward Useful Quantum Kernels

Advanced Quantum Technologies, EarlyView.
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro   +2 more
wiley   +1 more source

Low‐Loss Polarization‐Maintaining Router for Single and Entangled Photons at a Telecom Wavelength

Advanced Quantum Technologies, EarlyView.
A novel electro‐optic routing of arbitrarily polarized single photons and, crucially, multi‐photon entangled states is demonstrated. Utilizing optics with near‐normal incidence and cross‐aligned electro‐optic crystals, low‐loss polarization‐maintaining routing is achieved with a minimal number of components.
Pengfei Wang, Soyoung Baek, Masahiro Yabuno, Shigehito Miki, Hirotaka Terai, Fumihiro Kaneda   +5 more
wiley   +1 more source

Separability of symmetric states and vandermonde decomposition

New Journal of Physics, 2020
Symmetry is one of the central mysteries of quantum mechanics and plays an essential role in multipartite entanglement. In this paper, we consider the separability problem of quantum states in the symmetric space.
Lilong Qian, Lin Chen, Delin Chu
doaj   +1 more source

Block Factor-width-two Matrices and Their Applications to Semidefinite and Sum-of-squares Optimization

, 2020
Semidefinite and sum-of-squares (SOS) optimization are fundamental computational tools in many areas, including linear and nonlinear systems theory. However, the scale of problems that can be addressed reliably and efficiently is still limited.
Papachristodoulou, Antonis, Sootla, Aivar, Zheng, Yang   +2 more
core  

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

International Journal of Robust and Nonlinear Control, EarlyView.
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, Johannes Köhler, Matthias A. Müller, Carsten W. Scherer, Frank Allgöwer   +4 more
wiley   +1 more source

On directional derivatives of trace functionals of the form $A\mapsto\Tr(Pf(A))$

, 2018
Given a function $f:(0,\infty)\rightarrow\RR$ and a positive semidefinite $n\times n$ matrix $P$, one may define a trace functional on positive definite $n\times n$ matrices as $A\mapsto \Tr(Pf(A))$.
Girard, Mark W.
core   +1 more source

Observer‐Based Stabilization of Positive Linear System With Disturbances

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This article addresses the disturbance rejection and output stabilization control of positive linear systems. First, two disturbance observers (DOs) are proposed to estimate actuator‐channel and sensor‐channel disturbances, while a positive state observer is designed for state estimation.
Changsheng Zhou, Bohao Zhu, Xiaoqi Song, Jason Jinrong Liu, Yukang Cui, James Lam   +5 more
wiley   +1 more source