Results 81 to 90 of about 1,638 (210)
Quantum medicine: A quantum–mechanical framework for redox biology, disease and precision medicine
Quantum medicine integrates quantum simulation, experimental validation and clinical data into a unified QEC pipeline. Quantum algorithms compute electronic and spin‐level properties of redox biology, which are validated by quantum sensing and structural biology and translated into precision diagnostics and therapy through multi‐omics and quantum ...
Ji‐Yong Sung, Jae‐Ho Cheong
wiley +1 more source
Dynamically Consistent Analysis of Realized Covariations in Term Structure Models
ABSTRACT In this article, we show how to analyze the covariation of bond prices nonparametrically and robustly, staying consistent with a general no‐arbitrage setting. This is, in particular, motivated by the problem of identifying the number of statistically relevant factors in the bond market under minimal conditions.
Dennis Schroers
wiley +1 more source
Unsupervised Domain Adaptation by Mapped Correlation Alignment
The goal of unsupervised domain adaptation aims to utilize labeled data from source domain to annotate the target-domain data, which has none of the labels.
Yun Zhang +3 more
doaj +1 more source
Beyond the Hodge theorem: Curl and asymmetric pseudodifferential projections
Abstract We develop a new approach to the study of spectral asymmetry. Working with the operator curl:=∗d$\operatorname{curl}:={*}\mathrm{d}$ on a connected oriented closed Riemannian 3‐manifold, we construct, by means of microlocal analysis, the asymmetry operator — a scalar pseudodifferential operator of order −3$-3$.
Matteo Capoferri, Dmitri Vassiliev
wiley +1 more source
We apply the reproducing kernel Hilbert space (RKHS) method for getting analytical and approximate solutions for second-order hyperbolic integrodifferential equations with a weighted integral condition.
A. Guezane-Lakoud +2 more
doaj +1 more source
ABSTRACT This study presents a new optimized block hybrid method and spectral simple iteration method (OBHM‐SSIM) for solving nonlinear evolution equations. In this method, we employed a combination of the spectral collocation method in space and the optimized block hybrid method in time, along with a simple iteration scheme to linearize the equations.
Salma Ahmedai +4 more
wiley +1 more source
In this work, the boundary layer flow of a Powell–Eyring non-Newtonian fluid over a stretching sheet has been investigated by a reproducing kernel method. Reproducing kernel functions are used to obtain the solutions.
Ali Akgül
doaj +1 more source
Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces
Data-driven spectral analysis of Koopman operators is a powerful tool for understanding numerous real-world dynamical systems, from neuronal activity to variations in sea surface temperature. The Koopman operator acts on a function space and is most commonly studied on the space of square-integrable functions.
Boullé, Nicolas +2 more
openaire +2 more sources
A numerical approach for solving the high-order nonlinear singular Emden–Fowler type equations
Reproducing kernel Hilbert space method (RKHSM) is an analytical technique, which can overcome the difficulty at the singular point of non-homogeneous, linear singular initial value problems; especially when the singularity appears on the right-hand side
Atta Dezhbord +2 more
doaj +1 more source
Estimation and Hypothesis Test for Mean Curve with Functional Data by Reproducing Kernel Hilbert Space Methods, with Applications in Biostatistics [PDF]
Ming Xiong +4 more
openalex +1 more source

