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Curt Da Silva, “Large-scale optimization algorithms for missing data completion and inverse problems”, The University of British Columbia, Vancouver, 2017.
H
Felix J. Herrmann, “Low-rank based matrix/tensor completions for the "real" (seismic) world”, in Workshop on Sparse Representations, Numerical Linear Algebra, and Optimization; Banff, 2014.
K
Rajiv Kumar, Curt Da Silva, Okan Akalin, Aleksandr Y. Aravkin, Hassan Mansour, Ben Recht, and Felix J. Herrmann, “Efficient matrix completion for seismic data reconstruction”, Geophysics, vol. 80, pp. V97-V114, 2015.
Rajiv Kumar, Haneet Wason, and Felix J. Herrmann, “Time-jittered marine acquisition: low-rank v/s sparsity”, UBC, TR-EOAS-2015-2, 2015.
Rajiv Kumar, Marie Graff-Kray, Tristan van Leeuwen, and Felix J. Herrmann, “Low-rank representation of extended image volumes––applications to imaging and velocity continuation”, in SEG Technical Program Expanded Abstracts, 2018, pp. 4418-4422.
Rajiv Kumar, Aleksandr Y. Aravkin, Ernie Esser, Hassan Mansour, and Felix J. Herrmann, “SVD-free low-rank matrix factorization : wavefield reconstruction via jittered subsampling and reciprocity”, in EAGE Annual Conference Proceedings, 2014.
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Oscar Lopez, Rajiv Kumar, and Felix J. Herrmann, “Rank minimization via alternating optimization: seismic data interpolation”, in EAGE Annual Conference Proceedings, 2015.
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Bas Peters, Felix J. Herrmann, and Chen Greif, “Matrix-free quadratic-penalty methods for PDE-constrained optimization”, in SIAM Conference on Computational Science and Engineering, 2015.
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Shashin Sharan, “Large scale high-frequency seismic wavefield reconstruction, acquisition via rank minimization and sparsity-promoting source estimation”, Georgia Institute of Technology, Atlanta, 2020.