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Network-related problems in optimal experimental design and second order cone programming Cover

Network-related problems in optimal experimental design and second order cone programming

Open Access
|Nov 2012

References

  1. [1] BORND¨ORFER, R.-SAGNOL, G.-SWARAT, E.: An IP approach to toll enforcement optimization on german motorways, Tech. Rep. ZIB, Report 11-42, Zuse Institut Berlin, 2011.10.1007/978-3-642-29210-1_51
  2. [2] KNIGHT, S.-NGUYEN, H. X.-FALKNER, N.-BOWDEN, R.-ROUGHAN,M.: The internet topology zoo, IEEE J. Select. Areas Commun. 29 (2011), 1765-1775.10.1109/JSAC.2011.111002
  3. [3] LAKHINA,A.-PAPAGIANNAKI,K.-CROVELLA,M.-DIOT,C.-KOLACZYK, E.- -TAFT, N.: Structural analysis of network traffic flows, in: Proc. ACM SIGMETRICS ’04 (E. G. Coffman Jr., Z. Liu and A.Merchant, eds.), New York, NY, SIGMETRICS Perform. Eval. Rev., Vol. 32, ACM New York, NY, USA, 2004, pp. 61-72.10.1145/1012888.1005697
  4. [4] LOBO,M.S.-VANDENBERGHE,L.-BOYD,S.-LEBRET,H.: Applications of second- -order cone programming, Linear Algebra Appl. 284 (1998), 193-228.10.1016/S0024-3795(98)10032-0
  5. [5] PUKELSHEIM, F.: Optimal Design of Experiments. Wiley, New York, 1993.
  6. [6] SAGNOL, G.: Computing optimal designs of multiresponse experiments reduces to second- -order cone programming, J. Statist. Plann. Inference 141 (2011), 1684-1708.10.1016/j.jspi.2010.11.031
  7. [7] SAGNOL, G.-GAUBERT, S.-BOUHTOU, M.: Optimal monitoring on large networks by successive c-optimal designs, in: Proc. of the 22nd Internat. Teletraffic Congr.-ITC 22, Amsterdam, The Netherlands, IEEE, Piscataway, N. J., 2010, pp. 1-8.10.1109/ITC.2010.5608717
  8. [8] SINGHAL, H.-MICHAILIDIS, G.: Optimal sampling in state space models with appli- cations to network monitoring, in: Proc. ACM SIGMETRICS ’08, Annapolis, Maryland, USA, SIGMETRICS Perform. Eval. Rev., Vol. 36, ACM New York, NY, USA, 2008, pp. 145-156.10.1145/1384529.1375474
  9. [9] SINGHAL, H.-MICHAILIDIS, G.: Optimal experiment design in a filtering context with application to sampled network data, Ann. Appl. Stat. 4 (2010), 78-93.10.1214/09-AOAS283
  10. [10] SONG, H. H.-QIU, L.-ZHANG, Y.: Netquest: A flexible framework for largescale network measurement, in: ACM SIGMETRICS ’06 (R. A. Marie, P. B. Key and E. Smirni, eds.), St. Malo, France, 2006, SIGMETRICS Perform. Eval. Rev., Vol. 34, ACM New York, NY, USA, 2006, pp. 121-132.10.1145/1140103.1140293
  11. [11] STURM, J. F.: Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones, Optim. Methods Softw. 11-12 (1999), 625-653.10.1080/10556789908805766
  12. [12] TITTERINGTON, D. M.: Algorithms for computing D-optimal design on finite design spaces, in: Proc. of the 1976 Conf. on Information Science and Systems, Baltimore, USA, 1976, Dept. of Electronic Engineering, John Hopkins University, Baltimore, USA, 1976, pp. 213-216.
  13. [13] WYNN, H. P.: The sequential generation of D-optimum experimental designs, Ann. Math. Stat. 41 (1970), 1655-1664.10.1214/aoms/1177696809
DOI: https://doi.org/10.2478/v10127-012-0016-x | Journal eISSN: 1338-9750 | Journal ISSN: 12103195
Language: English
Page range: 161 - 171
Published on: Nov 13, 2012
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2012 Guillaume Sagnol, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons License.