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Volumn , Issue , 2009, Pages 127-132

Adaptive randomized algori for finding eigenvector of stochastic matrix with application to pagerank

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; EIGENVALUES AND EIGENFUNCTIONS; MATRIX ALGEBRA; MULTI AGENT SYSTEMS; OPTIMIZATION; STOCHASTIC SYSTEMS;

EID: 77950819422     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2009.5400036     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 1
    • 62949177986 scopus 로고    scopus 로고
    • A distributed randomized approach for the PageRank computation
    • H. Ishii and R. Tempo, A distributed randomized approach for the PageRank computation, 1, Proc. 47th IEEE Conf. on Decision and Control, 3523-3528, 2008.
    • (2008) Proc. 47th IEEE Conf. on Decision and Control , vol.1 , pp. 3523-3528
    • Ishii, H.1    Tempo, R.2
  • 2
    • 0038589165 scopus 로고    scopus 로고
    • The anatomy of a large-scale hypertextual web search engine
    • S. Brin and L. Page, The anatomy of a large-scale hypertextual web search engine, Comput. Netw. ISDN Syst., 30(1-7):107-117, 1998.
    • (1998) Comput. Netw. ISDN Syst. , vol.30 , Issue.1-7 , pp. 107-117
    • Brin, S.1    Page, L.2
  • 4
    • 62949133719 scopus 로고    scopus 로고
    • A distributed randomized approach for the PageRank computation
    • H. Ishii and R. Tempo, A distributed randomized approach for the PageRank computation, 2, Proc. 47th IEEE Conf. on Decision and Control, 3529-3534, 2008.
    • (2008) Proc. 47th IEEE Conf. on Decision and Control , vol.2 , pp. 3529-3534
    • Ishii, H.1    Tempo, R.2
  • 7
    • 65249121279 scopus 로고    scopus 로고
    • Primal-dual subgradient methods for convex problems
    • DOI: 10.1007/s10107-007-0149-x
    • Yu. Nesterov. Primal-dual subgradient methods for convex problems. Mathematical Programming, 2007. DOI: 10.1007/s10107-007-0149-x.
    • (2007) Mathematical Programming
    • Nesterov, Y.1
  • 10
    • 79953143760 scopus 로고    scopus 로고
    • Solution to a Particular Deterministic Problem in Finite High Dimension by the Recursive Randomized Mirror Descent Algorithm
    • A.V. Nazin, Solution to a Particular Deterministic Problem in Finite High Dimension by the Recursive Randomized Mirror Descent Algorithm, 8th Meeting on Mathematical Statistics, CIRM, Luminy, France, 2008. http://www.cirm.univ-mrs.fr
    • 8th Meeting on Mathematical Statistics, CIRM, Luminy, France, 2008
    • Nazin, A.V.1
  • 11
    • 67650088461 scopus 로고    scopus 로고
    • The Randomized Algorithm for Finding an Eigenvector of the Stochastic Matrix with Application to PageRank
    • A.V. Nazin and B.T. Polyak, The Randomized Algorithm for Finding an Eigenvector of the Stochastic Matrix with Application to PageRank, Doklady Mathematics, 79(3):424-427, 2009.
    • (2009) Doklady Mathematics , vol.79 , Issue.3 , pp. 424-427
    • Nazin, A.V.1    Polyak, B.T.2
  • 14
    • 0004320602 scopus 로고    scopus 로고
    • The Conjugate Barrier Mirror Descent Method for Non-Smooth Convex Optimization
    • Haifa, Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology
    • A. Ben-Tal and A.S. Nemirovski, The Conjugate Barrier Mirror Descent Method for Non-Smooth Convex Optimization, MINERVA Optim. Center Report., Haifa, Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, 1999. http://iew3.technion.ac.il/Labs/Opt/opt/Pap/CP MD.pdf
    • (1999) MINERVA Optim. Center Report
    • Ben-Tal, A.1    Nemirovski, A.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.