Concepts of Data-Sparse Tensor-Product Approximation in Many-Particle Modelling

Author(s):  
Heinz-Jürgen Flad ◽  
Wolfgang Hackbusch ◽  
Boris N. Khoromskij ◽  
Reinhold Schneider

2016 ◽  
Vol 207 ◽  
pp. 348-379 ◽  
Author(s):  
Michael Griebel ◽  
Jens Oettershagen


1976 ◽  
Vol 18 (2) ◽  
pp. 99-107 ◽  
Author(s):  
F.-J Delvos ◽  
H Posdorf


2000 ◽  
Vol 16 (4) ◽  
pp. 525-540 ◽  
Author(s):  
M. Griebel ◽  
S. Knapek


Author(s):  
Gisela Widmer ◽  
Ralf Hiptmair

The stationary monochromatic radiative transfer equation is stated in five dimensions, with the intensity depending on both a position in a three-dimensional domain as well as a direction. In order to overcome the high dimensionality of the problem, we propose and analyse a new multiscale Galerkin Finite Element discretizaton that, under strong regularity assumptions on the solution, reduces the complexity of the problem to the number of degrees of freedom in space only (up to logarithmic terms). The sparse tensor product approximation adapts the idea of so-called ‘Sparse Grids’ for the product space of functions on the physical domain and the unit sphere. We present some details of the sparse tensor product construction including a convergence result that shows that, assuming strong regularity of the solution, the method converges with essentially optimal asymptotic rates while its complexity grows essentially only as that for a linear transport problem. Numerical experiments in a translation invariant setting in non-scattering media agree with predictions of theory and demonstrate the superior performance of the sparse tensor product method compared to the discrete ordinates method.





2006 ◽  
Vol 57 (2) ◽  
pp. 271-288 ◽  
Author(s):  
Shao-Ming Fei ◽  
Naihuan Jing ◽  
Bao-Zhi Suna


2007 ◽  
Vol 127 (8) ◽  
pp. 084110 ◽  
Author(s):  
Sambasiva Rao Chinnamsetty ◽  
Mike Espig ◽  
Boris N. Khoromskij ◽  
Wolfgang Hackbusch ◽  
Heinz-Jürgen Flad


2007 ◽  
Vol 23 (4-6) ◽  
pp. 697-714 ◽  
Author(s):  
Wolfgang Hackbusch ◽  
Boris N. Khoromskij


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