TY - GEN
T1 - Stable mesh decimation
AU - Bajaj, Chandrajit
AU - Gillette, Andrew
AU - Zhang, Qin
PY - 2009
Y1 - 2009
N2 - Current mesh reduction techniques, while numerous, all primarily reduce mesh size by successive element deletion (e.g. edge collapses) with the goal of geometric and topological feature preservation. The choice of geometric error used to guide the reduction process is chosen independent of the function the end user aims to calculate, analyze, or adaptively refine. In this paper, we argue that such a decoupling of structure from function modeling is often unwise as small changes in geometry may cause large changes in the associated function. A stable approach to mesh decimation, therefore, ought to be guided primarily by an analysis of functional sensitivity, a property dependent on both the particular application and the equations used for computation (e.g. integrals, derivatives, or integral/partial differential equations). We present a methodology to elucidate the geometric sensitivity of functionals via two major functional discretization techniques: Galerkin finite element and discrete exterior calculus. A number of examples are given to illustrate the methodology and provide numerical examples to further substantiate our choices.
AB - Current mesh reduction techniques, while numerous, all primarily reduce mesh size by successive element deletion (e.g. edge collapses) with the goal of geometric and topological feature preservation. The choice of geometric error used to guide the reduction process is chosen independent of the function the end user aims to calculate, analyze, or adaptively refine. In this paper, we argue that such a decoupling of structure from function modeling is often unwise as small changes in geometry may cause large changes in the associated function. A stable approach to mesh decimation, therefore, ought to be guided primarily by an analysis of functional sensitivity, a property dependent on both the particular application and the equations used for computation (e.g. integrals, derivatives, or integral/partial differential equations). We present a methodology to elucidate the geometric sensitivity of functionals via two major functional discretization techniques: Galerkin finite element and discrete exterior calculus. A number of examples are given to illustrate the methodology and provide numerical examples to further substantiate our choices.
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U2 - 10.1145/1629255.1629290
DO - 10.1145/1629255.1629290
M3 - Conference contribution
AN - SCOPUS:70350635647
SN - 9781605587110
T3 - Proceedings - SPM 2009: SIAM/ACM Joint Conference on Geometric and Physical Modeling
SP - 277
EP - 282
BT - Proceedings - SPM 2009
T2 - SPM 2009: SIAM/ACM Joint Conference on Geometric and Physical Modeling
Y2 - 5 October 2009 through 8 October 2009
ER -