Truncation error for simplex propagation

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Standard

Truncation error for simplex propagation. / Sporring, Jon.

Datalogisk Institut, 2013. 8 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport; No. 01/2013).

Research output: Book/Report › Report › Research

Harvard

Sporring, J 2013, Truncation error for simplex propagation. Koebenhavns Universitet. Datalogisk Institut. Rapport, no. 01/2013, Datalogisk Institut.

APA

Sporring, J. (2013). Truncation error for simplex propagation. Datalogisk Institut. Koebenhavns Universitet. Datalogisk Institut. Rapport No. 01/2013

Vancouver

Sporring J. Truncation error for simplex propagation. Datalogisk Institut, 2013. 8 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport; No. 01/2013).

Author

Sporring, Jon. / Truncation error for simplex propagation. Datalogisk Institut, 2013. 8 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport; No. 01/2013).

Bibtex

@book{3f9abd2ae4524a288bbbc85da8ce6511,
title = "Truncation error for simplex propagation",
abstract = "Cube propagation has been suggested as an alternative to Jacobian integration for estimating the volume change under a deformation in three dimensions [Pai et al., 2013]. Cube propagation estimates the change in volume by approximating a three dimensional volume as a mesh of tetrahedra, which covers the interior of the volume and approximates the boundary as piece-wise triangular surface patches, and then estimate the change in volume under deformation of the volume as the sum of the change of volumes of the tetrahedra. This is an instance of the more general simplex counting, and in this technical report we derive the truncation error for simplex counting in 2 and 3 dimensions. In the appendix, we give a short review of numerical quadrature in 1 and 3 dimensions.",
author = "Jon Sporring",
year = "2013",
language = "English",
series = "Koebenhavns Universitet. Datalogisk Institut. Rapport",
number = "01/2013",
publisher = "Datalogisk Institut",

}

RIS

TY - RPRT

T1 - Truncation error for simplex propagation

AU - Sporring, Jon

PY - 2013

Y1 - 2013

N2 - Cube propagation has been suggested as an alternative to Jacobian integration for estimating the volume change under a deformation in three dimensions [Pai et al., 2013]. Cube propagation estimates the change in volume by approximating a three dimensional volume as a mesh of tetrahedra, which covers the interior of the volume and approximates the boundary as piece-wise triangular surface patches, and then estimate the change in volume under deformation of the volume as the sum of the change of volumes of the tetrahedra. This is an instance of the more general simplex counting, and in this technical report we derive the truncation error for simplex counting in 2 and 3 dimensions. In the appendix, we give a short review of numerical quadrature in 1 and 3 dimensions.

AB - Cube propagation has been suggested as an alternative to Jacobian integration for estimating the volume change under a deformation in three dimensions [Pai et al., 2013]. Cube propagation estimates the change in volume by approximating a three dimensional volume as a mesh of tetrahedra, which covers the interior of the volume and approximates the boundary as piece-wise triangular surface patches, and then estimate the change in volume under deformation of the volume as the sum of the change of volumes of the tetrahedra. This is an instance of the more general simplex counting, and in this technical report we derive the truncation error for simplex counting in 2 and 3 dimensions. In the appendix, we give a short review of numerical quadrature in 1 and 3 dimensions.

M3 - Report

T3 - Koebenhavns Universitet. Datalogisk Institut. Rapport

BT - Truncation error for simplex propagation

PB - Datalogisk Institut

ER -

ID: 45454968