Zobrazeno 1 - 10
of 227
pro vyhledávání: '"86a22"'
Autor:
Gustafsson, Bjorn, Putinar, Mihai
Given a finite family of compact subsets of the complex plane we propose a certificate of mutual non-overlapping with respect to area measure. The criterion is stated as a couple of positivity conditions imposed on a four argument analytic/anti-analy
Externí odkaz:
http://arxiv.org/abs/2411.14124
Autor:
Jiang, Peng, Wang, Kun, Wang, Jiaxing, Feng, Zeliang, Qiao, Shengjie, Deng, Runhuai, Zhang, Fengkai
GPR full-waveform inversion optimizes the subsurface property model iteratively to match the entire waveform information. However, the model gradients derived from wavefield continuation often contain errors, such as ghost values and excessively larg
Externí odkaz:
http://arxiv.org/abs/2410.08568
Publikováno v:
Proceedings of the Institute of Acoustics 46(1) (2024)
The ocean's opacity poses challenges for security, as new technology, e.g. underwater drones, offers new opportunities for illegal activities, such as smuggling and terrorism. A network of unmanned surface vehicles (USV) and autonomous underwater veh
Externí odkaz:
http://arxiv.org/abs/2409.01933
We study the inverse problem of determining the Winkler coefficient in a nanoplate resting on an elastic foundation and clamped at the boundary. The nanoplate is described within a simplified strain gradient elasticity theory for isotropic materials,
Externí odkaz:
http://arxiv.org/abs/2408.13625
This study focuses on inverting time-domain airborne electromagnetic data in 2D by training a neural-network to understand the relationship between data and conductivity, thereby removing the need for expensive forward modeling during the inversion p
Externí odkaz:
http://arxiv.org/abs/2407.00257
Autor:
Sapienza, Facundo, Bolibar, Jordi, Schäfer, Frank, Groenke, Brian, Pal, Avik, Boussange, Victor, Heimbach, Patrick, Hooker, Giles, Pérez, Fernando, Persson, Per-Olof, Rackauckas, Christopher
The differentiable programming paradigm is a cornerstone of modern scientific computing. It refers to numerical methods for computing the gradient of a numerical model's output. Many scientific models are based on differential equations, where differ
Externí odkaz:
http://arxiv.org/abs/2406.09699
In real-world problems, environmental noise is often idealized as Gaussian white noise, despite potential temporal dependencies. The Linear Inverse Model (LIM) is a class of data-driven methods that extract dynamic and stochastic information from fin
Externí odkaz:
http://arxiv.org/abs/2402.15184
We study Bayesian methods for large-scale linear inverse problems, focusing on the challenging task of hyperparameter estimation. Typical hierarchical Bayesian formulations that follow a Markov Chain Monte Carlo approach are possible for small proble
Externí odkaz:
http://arxiv.org/abs/2311.15827
This paper is concerned with the unique identification of the shape of a scatterer through a single far-field pattern in an inverse elastic medium scattering problem with a generalized transmission boundary condition. The uniqueness issue by a single
Externí odkaz:
http://arxiv.org/abs/2311.16435
Autor:
Horenko, Illia
Simply-verifiable mathematical conditions for existence, uniqueness and explicit analytical computation of minimal adversarial paths (MAP) and minimal adversarial distances (MAD) for (locally) uniquely-invertible classifiers, for generalized linear m
Externí odkaz:
http://arxiv.org/abs/2310.14421