4.5 Article

Quadrature rule-based bounds for functions of adjacency matrices

期刊

LINEAR ALGEBRA AND ITS APPLICATIONS
卷 433, 期 3, 页码 637-652

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.laa.2010.03.035

关键词

Graphs; Networks; Estrada index; Subgraph centrality; Communicability; Sparse matrices; Quadrature rules; Lanczos algorithm; Decay bounds; Matrix exponential; Resolvent

资金

  1. National Science Foundation [DMS-0810862]
  2. University Research Committee of Emory University
  3. Direct For Mathematical & Physical Scien
  4. Division Of Mathematical Sciences [0810862] Funding Source: National Science Foundation

向作者/读者索取更多资源

Bounds for entries of matrix functions based on Gauss-type quadrature rules are applied to adjacency matrices associated with graphs. This technique allows to develop inexpensive and accurate upper and lower bounds for certain quantities (Estrada index, subgraph centrality, communicability) that describe properties of networks. (C) 2010 Elsevier Inc. All rights reserved.

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