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pro vyhledávání: '"Venkat, Sreeram"'
We present an efficient and scalable algorithm for performing matrix-vector multiplications ("matvecs") for block Toeplitz matrices. Such matrices, which are shift-invariant with respect to their blocks, arise in the context of solving inverse proble
Externí odkaz:
http://arxiv.org/abs/2407.13066
In the construction of reduced-order models for dynamical systems, linear projection methods, such as proper orthogonal decompositions, are commonly employed. However, for many dynamical systems, the lower dimensional representation of the state spac
Externí odkaz:
http://arxiv.org/abs/2108.12453
Autor:
Jiang, Qingxuan, Lan, Tian, Okoudjou, Kasso, Strichartz, Robert, Sule, Shashank, Venkat, Sreeram, Wang, Xiaoduo
We develop a theory of Sobolev orthogonal polynomials on the Sierpi\'nski gasket ($SG$). These orthogonal polynomials arise through the Gram-Schmidt orthogonalisation process applied on the set of monomials on $SG$ using several notions of a Sobolev
Externí odkaz:
http://arxiv.org/abs/2010.00107
Akademický článek
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Publikováno v:
UMAP Journal; Summer2017, Vol. 38 Issue 2, p197-218, 22p