Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Randall LeVeque"'
Neural networks (NNs) enable precise modeling of complicated geophysical phenomena but are sensitive to small input changes. In this work, we present a new method for analyzing this instability in NNs. We focus our analysis on adversarial examples, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ea266f68b2fca9d60d47efe867458c2
https://doi.org/10.31223/x5d954
https://doi.org/10.31223/x5d954
We have explored various different machine learning (ML) approaches for forecasting tsunami amplitudes at a set of forecast points, based on hypothetical short-time observations at one or more observation points. As a case study, we chose an observat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c015c89c8d2277a710baa29dc2d19b4f
https://doi.org/10.31223/x5vp6b
https://doi.org/10.31223/x5vp6b
The numerical modeling of tsunami inundation that incorporates the built environment of coastal communities is challenging for both depth-integrated 2D and 3D models, not only in modeling the flow, but also in predicting forces on coastal structures.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::484994db3d28ff5e6221a13c469720f4
https://doi.org/10.5194/nhess-2018-150
https://doi.org/10.5194/nhess-2018-150
Autor:
Randall LeVeque
Publikováno v:
Encyclopedia of Applied and Computational Mathematics ISBN: 9783540705284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6587b1acb0121370bb85b56fe9a08b5b
https://doi.org/10.1007/978-3-540-70529-1_332
https://doi.org/10.1007/978-3-540-70529-1_332
Publikováno v:
Oberwolfach Reports. :915-962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e68bf1b86bedf1db565dad83a78b059
https://doi.org/10.4171/owr/2004/18
https://doi.org/10.4171/owr/2004/18
Autor:
Randall LeVeque
Publikováno v:
Mathematics of Computation. 47:37-54
When time-split or fractional step methods are used to solve partial differential equations numerically, nonphysical intermediate solutions are introduced for which boundary data must often be specified. Here the appropriate boundary conditions are d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31eeaf3ecdb8fde2d8f67008ab3f52e5
https://doi.org/10.1090/s0025-5718-1986-0842122-8
https://doi.org/10.1090/s0025-5718-1986-0842122-8