Ph. D Thesis

  • C. Da Silva, “Large-scale optimization algorithms for missing data completion and inverse problems”, University of British Columbia, 2017. PDF

Journal Publications

  • C. Da Silva and F. J. Herrmann, “A unified 2D/3D large scale software environment for nonlinear inverse problems”, ACM Transactions on Mathematical Software, 2019. DOI: 10.1145/3291042. Journal

  • C. Da Silva, Y. Zhang, R. Kumar, and F. J. Herrmann, “Applications of low-rank compressed seismic data to full-waveform inversion and extended image volumes”, 2019. DOI: 10.1190/geo2018-0116.1. Journal | Preprint

  • Z. Fang, C. Da Silva, R. Kuske, and F. J. Herrmann, “Uncertainty quantification for inverse problems with weak partial-differential-equation constraints Check for updates on crossmark”, Geophysics, 2019. DOI: 10.1190/geo2017-0824.1. Journal

  • C. Da Silva and F. J. Herrmann, “Optimization on the Hierarchical Tucker manifold – applications to tensor completion,” Linear Algebra and its Applications, 2015. DOI: 10.1016/j.laa.2015.04.015. Journal

  • R. Kumar, C. Da Silva, O. Akalin, A. Aravkin, H. Mansour, B. Recht, F. J. Herrmann, “Efficient matrix completion for seismic data reconstruction,” Geophysics, 2015. DOI: 10.1190/geo2014-0369.1. Journal | Preprint

Conference Proceedings

  • Y. Zhang, C. Da Silva, R. Kumar, and F. J. Herrmann “Massive 3D seismic data compression and inversion with Hierarchical Tucker,” SEG Technical Program Expanded Abstracts, 2017

  • Z. Fang, C. Da Silva, and F. J. Herrmann, “An efficient penalty method for PDE-constrained optimization problem with source estimation and stochastic optimization,” Applied Inverse Problems Annual Conference Proceedings, 2017

  • Z. Fang, C. Da Silva, Rachel Kuske, and F. J. Herrmann, “Uncertainty quantification for inverse problems with a weak wave-equation constraint,” WAVES 2017

  • Z. Fang, C. Y. Lee, C. Da Silva, T. van Leeuwen, F. J. Herrmann, “Uncertainty quantification for Wavefield Reconstruction Inversion using a PDE free semidefinite Hessian and randomize-then-optimize method,” SEG Technical Program Expanded Abstracts, 2016

  • C. Da Silva and F. J. Herrmann, “A unified 2D/3D software environment for large scale time-harmonic full waveform inversion,” SEG Technical Program Expanded Abstracts, 2016

  • C. Da Silva and F. J. Herrmann, “Irregular grid tensor completion,” Workshop on Low-rank Optimization and Applications, 2015.

  • C. Da Silva and F. J. Herrmann, “Off the grid tensor completion for seismic data interpolation,” EAGE Annual Conference Proceedings, 2015

  • Z. Fang, C. Y. Lee, C. Da Silva, F. J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion,” EAGE Annual Conference Proceedings, 2015

  • Z. Fang, C. Da Silva and F. J. Herrmann, “Fast uncertainty quantification for 2D full-waveform inversion with randomized source subsampling,” EAGE Annual Conference Proceedings, 2014

  • C. Da Silva and F. J. Herrmann, “Low-rank promoting transformations and tensor interpolation - applications to seismic data denoising,” EAGE Annual Conference Proceedings, 2014

  • C. Da Silva and F. J. Herrmann, “Structured tensor missing-trace interpolation in the Hierarchical Tucker format,” SEG Technical Program Expanded Abstracts, 2013

  • C. Da Silva and F. J. Herrmann, “Hierarchical Tucker tensor optimization - applications to tensor completion,” SAMPTA, 2013

  • C. Da Silva and F. J. Herrmann, “Hierarchical Tucker tensor optimization - applications to 4D seismic data interpolation,” EAGE Annual Conference Proceedings, 2013

  • C. Da Silva and F. J. Herrmann, “Matrix probing and simultaneous sources: a new approach for preconditioning the Hessian,” EAGE Annual Conference Proceedings, 2012