메뉴 건너뛰기




Volumn , Issue , 2012, Pages 1079-1084

Multidimensional Newton-Raphson consensus for distributed convex optimization

Author keywords

consensus algorithms; multi agent systems; multidimensional convex optimization; multidimensional distributed optimization; Newton Raphson methods

Indexed keywords

CONVEX OPTIMIZATION; COST FUNCTIONS; NEWTON-RAPHSON METHOD;

EID: 84869452559     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2012.6314602     Document Type: Conference Paper
Times cited : (20)

References (28)
  • 3
    • 4043072116 scopus 로고    scopus 로고
    • Convergence of approximate and incremental subgradient methods for convex optimization
    • K. C. Kiwiel, "Convergence of approximate and incremental subgradient methods for convex optimization," SIAM J. on Optim., vol. 14, no. 3, pp. 807-840, 2004.
    • (2004) SIAM J. on Optim. , vol.14 , Issue.3 , pp. 807-840
    • Kiwiel, K.C.1
  • 5
    • 0036342213 scopus 로고    scopus 로고
    • Incremental subgradient methods for nondifferentiable optimization
    • A. Nedić and D. P. Bertsekas, "Incremental subgradient methods for nondifferentiable optimization," SIAM J. on Optim., vol. 12, no. 1, pp. 109-138, 2001.
    • (2001) SIAM J. on Optim. , vol.12 , Issue.1 , pp. 109-138
    • Nedić, A.1    Bertsekas, D.P.2
  • 6
    • 39449100600 scopus 로고    scopus 로고
    • A convergent incremental gradient method with a constant step size
    • D. Blatt, A. Hero, and H. Gauchman, "A convergent incremental gradient method with a constant step size," SIAM J. on Optim., vol. 18, no. 1, pp. 29-51, 2007.
    • (2007) SIAM J. on Optim. , vol.18 , Issue.1 , pp. 29-51
    • Blatt, D.1    Hero, A.2    Gauchman, H.3
  • 7
    • 70450201554 scopus 로고    scopus 로고
    • Incremental stochastic subgradient algorithms for convex optimzation
    • S. S. Ram, A. Nedić, and V. Veeravalli, "Incremental stochastic subgradient algorithms for convex optimzation," SIAM J. on Optim., vol. 20, no. 2, pp. 691-717, 2009.
    • (2009) SIAM J. on Optim. , vol.20 , Issue.2 , pp. 691-717
    • Ram, S.S.1    Nedić, A.2    Veeravalli, V.3
  • 8
    • 77950834661 scopus 로고    scopus 로고
    • Constrained consensus and optimization in multi-agent networks
    • A. Nedić, A. Ozdaglar, and P. A. Parrilo, "Constrained consensus and optimization in multi-agent networks," IEEE TAC, vol. 55, no. 4, pp. 922-938, 2010.
    • (2010) IEEE TAC , vol.55 , Issue.4 , pp. 922-938
    • Nedić, A.1    Ozdaglar, A.2    Parrilo, P.A.3
  • 9
    • 3543076370 scopus 로고    scopus 로고
    • Simultaneous routing and resource allocation via dual decomposition
    • L. Xiao, M. Johansson, and S. Boyd, "Simultaneous routing and resource allocation via dual decomposition," IEEE Trans. on Comm., vol. 52, no. 7, pp. 1136-1144, 2004.
    • (2004) IEEE Trans. on Comm. , vol.52 , Issue.7 , pp. 1136-1144
    • Xiao, L.1    Johansson, M.2    Boyd, S.3
  • 10
    • 37749015518 scopus 로고    scopus 로고
    • Consensus in ad hoc WSNs with noisy links-part I: Distributed estimation of deterministic signals
    • I. D. Schizas, A. Ribeiro, and G. B. Giannakis, "Consensus in ad hoc WSNs with noisy links-part I: Distributed estimation of deterministic signals," IEEE Trans. on Sig. Proc., vol. 56, pp. 350-364, 2008.
    • (2008) IEEE Trans. on Sig. Proc. , vol.56 , pp. 350-364
    • Schizas, I.D.1    Ribeiro, A.2    Giannakis, G.B.3
  • 12
    • 80053637184 scopus 로고    scopus 로고
    • F-Lipschitz optimization with Wireless Sensor Networks applications
    • to appear
    • C. Fischione, "F-Lipschitz optimization with Wireless Sensor Networks applications," IEEE TAC, vol. to appear, pp.-, 2011.
    • (2011) IEEE TAC
    • Fischione, C.1
  • 13
    • 79959310499 scopus 로고    scopus 로고
    • Fast-Lipschitz optimization with Wireless Sensor Networks applications
    • C. Fischione and U. Jönsson, "Fast-Lipschitz optimization with Wireless Sensor Networks applications," in IPSN, 2011.
    • (2011) IPSN
    • Fischione, C.1    Jönsson, U.2
  • 15
    • 84957871158 scopus 로고    scopus 로고
    • A survey of parallel distributed genetic algorithms
    • E. Alba and J. M. Troya, "A survey of parallel distributed genetic algorithms," Complexity, vol. 4, no. 4, pp. 31-52, 1999.
    • (1999) Complexity , vol.4 , Issue.4 , pp. 31-52
    • Alba, E.1    Troya, J.M.2
  • 17
    • 84860661592 scopus 로고    scopus 로고
    • Springer, ch. A survey on distributed estimation and control applications using linear consensus algorithms
    • F. Garin and L. Schenato, Networked Control Systems. Springer, 2011, ch. A survey on distributed estimation and control applications using linear consensus algorithms, pp. 75-107.
    • (2011) Networked Control Systems , pp. 75-107
    • Garin, F.1    Schenato, L.2
  • 20
    • 0042139539 scopus 로고
    • A class of center-free resource allocation algorithms
    • Y. C. Ho, L. Servi, and R. Suri, "A class of center-free resource allocation algorithms," Large Scale Systems, vol. 1, pp. 51-62, 1980.
    • (1980) Large Scale Systems , vol.1 , pp. 51-62
    • Ho, Y.C.1    Servi, L.2    Suri, R.3
  • 21
    • 33747317125 scopus 로고    scopus 로고
    • Optimal scaling of a gradient method for distributed resource allocation
    • L. Xiao and S. Boyd, "Optimal scaling of a gradient method for distributed resource allocation," J. Opt. Theory and Applications, vol. 129, no. 3, pp. 469-488, 2006.
    • (2006) J. Opt. Theory and Applications , vol.129 , Issue.3 , pp. 469-488
    • Xiao, L.1    Boyd, S.2
  • 22
    • 51249177398 scopus 로고
    • Global analysis of continuous analogues of the Levenberg-Marquardt and Newton-Raphson methods for solving nonlinear equations
    • K. Tanabe, "Global analysis of continuous analogues of the Levenberg-Marquardt and Newton-Raphson methods for solving nonlinear equations," Inst. of Stat. Math., vol. 37, pp. 189-203, 1985.
    • (1985) Inst. of Stat. Math. , vol.37 , pp. 189-203
    • Tanabe, K.1
  • 23
    • 23844497773 scopus 로고    scopus 로고
    • The continuous Newton-Raphson method can look ahead
    • R. Hauser and J. Nedić, "The continuous Newton-Raphson method can look ahead," SIAM J. on Opt., vol. 15, pp. 915-925, 2005.
    • (2005) SIAM J. on Opt. , vol.15 , pp. 915-925
    • Hauser, R.1    Nedić, J.2
  • 24
    • 0012575261 scopus 로고    scopus 로고
    • Optimization flow control with newtonlike algorithm
    • S. Athuraliya and S. H. Low, "Optimization flow control with newtonlike algorithm," Telecommunication Systems, vol. 15, no. 3-4, pp. 345-358, 2000.
    • (2000) Telecommunication Systems , vol.15 , Issue.3-4 , pp. 345-358
    • Athuraliya, S.1    Low, S.H.2
  • 27
    • 84869475658 scopus 로고
    • Improving the convergence of backpropagation learning with second order models
    • September
    • S. Becker and Y. L. Cun, "Improving the convergence of backpropagation learning with second order models," University of Toronto, Tech. Rep. CRG-TR-88-5, September 1988.
    • (1988) University of Toronto, Tech. Rep. CRG-TR-88-5
    • Becker, S.1    Cun, Y.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.