Results 161 to 170 of about 5,210,310 (318)
Building a Digital Twin for Material Testing: Model Reduction and Data Assimilation
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT The rapid advancement of industrial technologies, data collection, and handling methods has paved the way for the widespread adoption of digital twins (DTs) in engineering, enabling seamless integration between physical systems and their virtual counterparts.
Rubén Aylwin +5 more
wiley +1 more source
A Novel Mixed‐Hybrid, Higher‐Order Accurate Formulation for Kirchhoff–Love Shells
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT This paper presents a novel mixed‐hybrid finite element formulation for Kirchhoff–Love shells, designed to enable the use of standard C0$C^0$‐continuous higher‐order Lagrange elements. This is possible by introducing the components of the moment tensor as a primary unknown alongside the displacement vector, circumventing the need for C1$C^1 ...
Jonas Neumeyer, Thomas‐Peter Fries
wiley +1 more source
A priori estimates in geometry and Sobolev spaces on open manifolds [PDF]
, 1992 Jürgen Eichhorn
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On MAP Estimates and Source Conditions for Drift Identification in SDEs
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT We consider the inverse problem of identifying the drift in an stochastic differential equation (SDE) from n$n$ observations of its solution at M+1$M+1$ distinct time points. We derive a corresponding maximum a posteriori (MAP) estimate, we prove differentiability properties as well as a so‐called tangential cone condition for the forward ...
Daniel Tenbrinck +3 more
wiley +1 more source
Multiplication in Sobolev Spaces, Revisited [PDF]
, 2015 A. Behzadan, Michael Holst
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International Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 4957-4970, June 2026.ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf +2 more
wiley +1 more source
Embedding theorems for variable exponent fractional Sobolev spaces and an application
, 2021 Haikun Liu, Yongqiang Fu
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Geochemistry, Geophysics, Geosystems, Volume 27, Issue 6, June 2026.Abstract The cratonic lithospheric mantle records complex metasomatic processes and is frequently tapped by alkaline magmatism, offering a unique opportunity to trace the progressive evolution of the mantle. In the present contribution, we investigate a newly identified calc‐alkaline lamprophyre field from the Neoarchean Jonnagiri Schist Belt, Eastern ...
Sourav Naskar +6 more
wiley +1 more source
Subduction Parameters Controlling the Occurrence of Shallow and Deep Slow‐Slip Events (SSEs)
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.Abstract Slow‐slip events (SSEs) are transient aseismic fault‐slip phenomena that release tectonic stresses in a variety of tectonic environments, including subduction zones. In subduction margins, SSEs commonly occur along the plate interface at shallow (<20 km) and deep (30–60 km) depths.
Mario Arroyo‐Solórzano +4 more
wiley +1 more source
Sobolev and Hardy-Sobolev spaces on graphs
, 2012 Let $\Gamma$ be a graph. Under suitable geometric assumptions on $\Gamma$, we give several equivalent characterizations of Sobolev and Hardy-Sobolev spaces on $\Gamma$, in terms of maximal functionals, Haj\l asz type functionals or atomic decompositions.
Russ, Emmanuel, Turkawi, Maamoun
core +1 more source