SNLSDP
SNLSDP version 0 -- a MATLAB software for sensor network localization It implemented an SDP based approach with regularization for solving sensor network localization problems. The algorithm first solves an SDP relaxation (with regularization) of the non-convex minimization problem (1), and use the SDP computed solution as the starting point for a gradient descent method with backtracking line search to solve the smooth unconstrained problem (2). This software package is designed for solving small size senor network localization problems with up to 200 sensors and a few thousands given distances.
(Source: http://plato.asu.edu)
Keywords for this software
References in zbMATH (referenced in 37 articles )
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- Luke, D. Russell; Sabach, Shoham; Teboulle, Marc; Zatlawey, Kobi: A simple globally convergent algorithm for the nonsmooth nonconvex single source localization problem (2017)
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- Chaudhury, K. N.; Khoo, Y.; Singer, A.: Global registration of multiple point clouds using semidefinite programming (2015)
- Cheong, Seunggyun; Manchester, Ian R.: Input design for discrimination between classes of LTI models (2015)
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- Wu, Changzhi; Li, Chaojie; Long, Qiang: A DC programming approach for sensor network localization with uncertainties in anchor positions (2014)
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- Fang, Xingyuan; Toh, Kim-Chuan: Using a distributed SDP approach to solve simulated protein molecular conformation problems (2013)