Randomized Group-Greedy Method for Large-Scale Sensor Selection Problems
Author:
Affiliation:
1. Department of Aerospace Engineering, Tohoku University, Miyagi, Sendai, Japan
2. Department of Energy and Environment, National Institute of Advanced Industrial Science and Technology, Ibaraki, Tsukuba, Japan
Funder
Japan Science and Technology Agency (JST) through CREST
Japan Society for the Promotion of Science (JSPS) KAKENHI
JST through the Moonshot Research and Development–MILLENNIA Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10113769/10078169.pdf?arnumber=10078169
Reference71 articles.
1. Branch-and-Bound Methods: A Survey
2. Randomized Algorithms
3. Branch-and-Bound Search for Experimental Designs Based on D Optimality and Other Criteria
4. Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation
5. Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers
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