CHARMS: a simple framework for adaptive simulation
By Eitan Grinspun, Petr Krysl, Peter Schröder. ACM Transactions on Graphics, 2002
391 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design
View Paper: https://www.semanticscholar.org/paper/737c256c4703b1ed9411924f73fadb2c7d794ff3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Thomas J. R. Hughes
- Dominik Schillinger
- Michael A. Scott
- Timon Rabczuk
- John A. Evans
- Alessandro Reali
- Thomas W. Sederberg
- Michael J. Borden
In Computer Graphics and Computer-Aided Design
- Thomas J. R. Hughes
- Michael A. Scott
- John A. Evans
- Dominik Schillinger
- Thomas W. Sederberg
- Xin Li
- Matthias Müller
- Timon Rabczuk
Citations in the corpus
- Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry (2006, methodology): “For instance, to construct a hierarchical representation, the CHARMS method presented in [13] suggests to use function basis refinement instead of finite element refinement.”
- Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling (2016, positive): “[8, 16], leading to a significant speed-up.”
- Boundary-Aware Multidomain Subspace Deformation (2013, background): “Multiresolution [9] or adaptive simulation [10], [11] uses hierarchical or adaptive bases of the deformation to accelerate the computation.”
- Meshless deformations based on shape matching (2005, methodology): “Robust integration schemes for large time steps have been investigated [Baraff and Witkin 1998] and multi-resolution models have been proposed [Debunne et al. 2001], [Capell et al. 2002], [Grinspun et al. 2002].”
- T-splines and T-NURCCs (2003, background): “CHARMS [Grinspun et al. 2002] focuses on the space of basis functions in a similar way, but in a more general setting and hence with more applications.”
- Interactive Virtual Materials (2004, background): “Debunne [4] and Wu [24] use a hierarchy of volumetric meshes and Grinspun [9] and James [11] a hierarchy of basis functions which speed up the simulation but make changes in a mesh caused by fracture difficult to handle.”
- Polynomial splines over hierarchical T-meshes (2008, methodology): “[11], multilevel B-splines [15,16], TP splines with knot segments [22].”
- An Isogeometric design-through-analysis methodology based on adaptive hierarchical refinement of NURBS, immersed boundary methods, and T-spline CAD surfaces (2012, background): “Element and basis viewpoints on refinement Traditionally, refinement in FEA adopts an element viewpoint, since the centerpiece of standard mesh refinement consists of the geometric division of elements [44, 45].”