Statistical Analysis of Graph Structures in Random Variable Networks. 1st ed. 2020
- 種類:
- 電子ブック
- 責任表示:
- by V. A. Kalyagin, A. P. Koldanov, P. A. Koldanov, P. M. Pardalos
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2020
- 著者名:
- シリーズ名:
- SpringerBriefs in Optimization ;
- ISBN:
- 9783030602932 [3030602931]
- 注記:
- 1. Introduction -- 2. Random variable networks. -3. Network Identification Structure Algorithms -- 4. Uncertainty of Network Structure Identification -- 5. Robustness of Network Structure Identification -- 6. Optimality of Network Structure Identification -- 7. Applications to Market Network Analysis -- 8. Conclusion -- 9. References.
This book presents new theoretical approaches for statistical network analysis in random variable networks. Robustness and optimality of statistical procedures for various network structures are detailed and analyzed. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and brain networks are presented through a theoretical analysis which identifies network structures. Graduate students and researchers in computer science, mathematics, and optimization will find the applications and techniques presented useful. - ローカル注記:
- 学内専用E-BOOKS (local access only)
類似資料:
|
Springer International Publishing : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
|
Springer International Publishing : Imprint: Springer |
Springer Nature Singapore : Imprint: Springer |
|
Springer New York : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
|
Springer New York : Imprint: Springer |
Springer Berlin Heidelberg : Imprint: Springer |
|
Springer London : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
|
Springer International Publishing : Imprint: Springer |
Springer International Publishing : Imprint: Springer |
