Chordal decomposition for spectral coarsening-Reference-Cited by-同舟云学术

Chordal decomposition for spectral coarsening

Published:2020-12-31 Issue:6 Volume:39 Page:1-16
ISSN:0730-0301
Container-title:ACM Transactions on Graphics
language:en
Short-container-title:ACM Trans. Graph.

Author:

Chen Honglin¹,Liu Hsueh-TI Derek¹,Jacobson Alec¹,Levin David I. W.¹

Affiliation:

1. University of Toronto, Canada

Funder

the Ontario Early Research Award program

Autodesk

Connaught Fund

the Canada Research Chairs Program

MESH Inc

Accelerator

NSERC Discovery

Adobe Systems

New Frontiers of Research Fund

CFI-JELF Fund

the Fields Centre for Quantitative Analysis and Modelling

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Link

https://dl.acm.org/doi/pdf/10.1145/3414685.3417789

Reference60 articles.

1. Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones

2. Jean RS Blair and Barry Peyton. 1993. An introduction to chordal graphs and clique trees. In Graph theory and sparse matrix computation. 1--29. Jean RS Blair and Barry Peyton. 1993. An introduction to chordal graphs and clique trees. In Graph theory and sparse matrix computation. 1--29.

3. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

4. Gecia Bravo-Hermsdorff and Lee Gunderson. 2019. A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening. In Advances in Neural Information Processing Systems 32. 7736--7747. Gecia Bravo-Hermsdorff and Lee Gunderson. 2019. A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening. In Advances in Neural Information Processing Systems 32. 7736--7747.

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