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pro vyhledávání: '"Phil Alexander"'
We introduce a novel spectral, finite-dimensional approximation of general Sobolev spaces in terms of Chebyshev polynomials. Based on this polynomial surrogate model (PSM), we realise a variational formulation, solving a vast class of linear and non-
Externí odkaz:
http://arxiv.org/abs/2301.04887
Akademický článek
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Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035029 (2024)
We present a variational approach aimed at enhancing the training of physics-informed neural networks (PINNs) and more general surrogate models for learning partial differential equations (PDE). In particular, we extend our formerly introduced notion
Externí odkaz:
https://doaj.org/article/f9e19973822d435085913140403f5472
Publikováno v:
Ethnomusicology Forum. 32:1-3
Publikováno v:
Ethnomusicology Forum. 31:187-189
Publikováno v:
Ethnomusicology Forum. 30:337-339
Publikováno v:
Ethnomusicology Forum. 29:265-268
Autor:
Phil Alexander
Publikováno v:
Journal of the Society for American Music. 13:243-247
Autor:
Phil Alexander
This section ties up the central argument of the book, namely, that Berlin’s klezmer music should be understood as music of/from a city, and that it is the perpetual dialogue with the city that makes the music relevant to its audiences, meaningful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7676f9247e2cef634a6eb1e958d7bc70
https://doi.org/10.1093/oso/9780190064433.003.0008
https://doi.org/10.1093/oso/9780190064433.003.0008
Autor:
Phil Alexander
Publikováno v:
Sounding Jewish in Berlin
This chapter devotes specific consideration to the complex relationship between contemporary Jewish identity and klezmer music in the city—as seen in two case studies that both directly address Berlin Jewish history through music. The first of thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1454a4f65949bc37fd62997f1a1603e6
https://doi.org/10.1093/oso/9780190064433.003.0005
https://doi.org/10.1093/oso/9780190064433.003.0005