Graph-based optimization approaches for machine learning, uncertainty quantification and networks

DOI10.1016/BS.HNA.2019.04.001zbMath1446.65032OpenAlexW2944495936MaRDI QIDQ3295563

Ekaterina Merkurjev, Andrea L. Bertozzi

Publication date: 10 July 2020

Published in: Handbook of Numerical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/bs.hna.2019.04.001

zbMATH Keywords

social networksmachine learninggraphical modelsdiffuse interfacesmodularitydata clusteringcommunity detectionuncertainty quantificationgraph LaplacianMBO scheme

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Social networks; opinion dynamics (91D30) Numerical methods involving duality (49M29) Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Graph algorithms (graph-theoretic aspects) (05C85) Applications of graph theory to circuits and networks (94C15) PDEs on graphs and networks (ramified or polygonal spaces) (35R02)

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