Ultra-low memory seismic inversion with randomized trace estimation-Reference-Cited by-同舟云学术

Ultra-low memory seismic inversion with randomized trace estimation

Published:2021-09-01 Issue: Volume: Page:
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Container-title:First International Meeting for Applied Geoscience & Energy Expanded Abstracts
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Author:

Louboutin Mathias¹,Herrmann Felix J.²

Affiliation:

1. Georgia Institute of Technology, School of Earth and Atmospheric Sciences.

2. Georgia Institute of Technology, School of Computational Science and Engineering.

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2021-3584072.1

Reference39 articles.

1. Robust inversion, dimensionality reduction, and randomized sampling

2. Randomized algorithms for estimating the trace of an implicit symmetric positive semi-definite matrix

3. Total Variation Regularization Strategies in Full-Waveform Inversion

4. Hybrid Deterministic-Stochastic Methods for Data Fitting

5. Graff-Kray, M., R. Kumar, and F. J. Herrmann, 2017, Low-rank representation of omnidirectional subsurface extended image volumes: SINBAD, retrieved from https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2017/Fall/graff2017SINBADFlrp/graff2017SINBADFlrp.pdf.

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