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Decentralized Gauss-Newton method for nonlinear least squares on wide area network

  • Lanchao Liu
  • , Qing Ling
  • , Zhu Han

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a decentralized approach of Gauss-Newton (GN) method for nonlinear least squares (NLLS) on wide area network (WAN). In a multi-agent system, a centralized GN for NLLS requires the global GN Hessian matrix available at a central computing unit, which may incur large communication overhead. In the proposed decentralized alternative, each agent only needs local GN Hessian matrix to update iterates with the cooperation of neighbors. The detail formulation of decentralized NLLS on WAN is given, and the iteration at each agent is defined. The convergence property of the decentralized approach is analyzed, and numerical results validate the effectiveness of the proposed algorithm.

Original languageEnglish
Article number012021
JournalIOP Conference Series: Materials Science and Engineering
Volume67
Issue number1
DOIs
Publication statusPublished - 2014
Event2nd Radio and Antenna Days of the Indian Ocean, RADIO 2014 - Flic-en-Flac, Mauritius
Duration: 7 Apr 201410 Apr 2014

Bibliographical note

Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

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