On a Sparse Representation of an n-Dimensional Laplacian in Wavelet Coordinates
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F16%3A00003742" target="_blank" >RIV/46747885:24510/16:00003742 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/article/10.1007/s00025-015-0488-5" target="_blank" >http://link.springer.com/article/10.1007/s00025-015-0488-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00025-015-0488-5" target="_blank" >10.1007/s00025-015-0488-5</a>
Alternative languages
Result language
angličtina
Original language name
On a Sparse Representation of an n-Dimensional Laplacian in Wavelet Coordinates
Original language description
Important parts of adaptive wavelet methods are well-conditioned wavelet stiffness matrices and an efficient approximate multiplication of quasi-sparse stiffness matrices with vectors in wavelet coordinates. Therefore it is useful to develop a well-conditioned wavelet basis with respect to which both the mass and stiffness matrices are sparse in the sense that the number of nonzero elements in each column is bounded by a constant. Consequently, the stiffness matrix corresponding to the n-dimensional Laplacian in the tensor product wavelet basis is also sparse. Then a matrix-vector multiplication can be performed exactly with linear complexity. In this paper, we construct a wavelet basis based on Hermite cubic splines with respect to which both the mass matrix and the stiffness matrix corresponding to a one-dimensional Poisson equation are sparse. Moreover, a proposed basis is well-conditioned on low decomposition levels. Small condition numbers for low decomposition levels and a sparse structure of stiffness matrices are kept for any well-conditioned second order partial differential equations with constant coefficients; furthermore, they are independent of the space dimension.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Results in Mathematics
ISSN
1422-6383
e-ISSN
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Volume of the periodical
69
Issue of the periodical within the volume
1-2
Country of publishing house
CH - SWITZERLAND
Number of pages
19
Pages from-to
225-243
UT code for WoS article
000376102900012
EID of the result in the Scopus database
2-s2.0-84955634906