A Riemannian Dimension-Reduced Second-Order Method with Application in Sensor Network Localization-Reference-Cited by-同舟云学术

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A Riemannian Dimension-Reduced Second-Order Method with Application in Sensor Network Localization

Published:2024-06-17 Issue:3 Volume:46 Page:A2025-A2046
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Tang Tianyun¹^ORCID,Toh Kim-Chuan²^ORCID,Xiao Nachuan³^ORCID,Ye Yinyu⁴

Affiliation:

1. Department of Mathematics, National University of Singapore, Singapore 119077.

2. Department of Mathematics, and Institute of Operations Research and Analytics, National University of Singapore, Singapore 119077.

3. Institute of Operations Research and Analytics, National University of Singapore, Singapore 119077.

4. Department of Management Science and Engineering, Stanford University, Stanford, CA 94305 USA.

Funder

Academic Research Fund Tier 3

National University of Singapore

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference50 articles.

1. Trust-Region Methods on Riemannian Manifolds

2. Newton's method on Riemannian manifolds and a geometric model for the human spine

3. Adaptive regularization with cubics on manifolds

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