Biblio

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M. O. Frijlink, Reza Shahidi, Felix J. Herrmann, and R. G. van Borselen, Comparison of standard adaptive subtraction and primary-multiple separation in the curvelet domain, in EAGE Annual Conference Proceedings, 2010.
Michael P. Friedlander and P. Tseng, Exact regularization of convex programs, SIAM Journal on Optimization, vol. 18, pp. 1326-1350, 2007.
Michael P. Friedlander and M. A. Saunders, Active-set methods for basis pursuit, in WCOM, 2008.
Michael P. Friedlander and Mark Schmidt, Hybrid deterministic-stochastic methods for data fitting, SIAM Journal on Scientific Computing, vol. 34, pp. A1380-A1405, 2012.
Michael P. Friedlander, Randomized sampling: How confident are you?, SINBAD Fall consortium talks. SINBAD, 2012.
Michael P. Friedlander, Algorithms for large-scale sparse reconstruction, in SINBAD 2008, 2008.
Michael P. Friedlander, Active-set approaches to basis pursuit denoising, in SIAM Optimization, 2008.
Michael P. Friedlander, Robust inversion, data-fitting, and inexact gradient methods, SINBAD Fall consortium talks. SINBAD, 2011.
Michael P. Friedlander, Hassan Mansour, Rayan Saab, and Ozgur Yilmaz, Recovering compressively sampled signals using partial support information, IEEE Transactions on Information Theory, vol. 58, pp. 1122-1134, 2012.
Michael P. Friedlander, Introduction to Spot: a linear-operator toolbox, SINBAD Fall consortium talks. SINBAD, 2010.
Michael P. Friedlander, Computing sparse and group-sparse approximations, in VIET, Hanoi, Vietnam, 2009.
Michael P. Friedlander and M. A. Saunders, Discussion: the Dantzig selector: statistical estimation when p is much larger than n, The Annals of Statistics, vol. 35, pp. 2385-2391, 2007.
Michael P. Friedlander, Algorithms for sparse optimization, SINBAD Fall consortium talks. SINBAD, 2010.
Michael P. Friedlander, Algorithms for large-scale sparse reconstruction, in IEMS, Northwestern University, 2009.
Sergey Fomel and Gilles Hennenfent, Reproducible computational experiments using scons, in ICASSP, 2007.
Lloyd Fenelon, Nonequispaced discrete curvelet transform for seismic data reconstruction, 2008.
Zhilong Fang and Felix J. Herrmann, Wavefield reconstruction inversion with source estimation and its application to 2014 Chevron synthetic blind test dataset, SINBAD Spring consortium talks. SINBAD, 2015.
Zhilong Fang and Felix J. Herrmann, PDE-free Gauss-Newton Hessian for Wavefield Reconstruction Inversion, SINBAD Fall consortium talks. SINBAD, 2017.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, Uncertainty quantification for Wavefield Reconstruction Inversion, in EAGE Annual Conference Proceedings, 2015.
Zhilong Fang, Curt Da Silva, and Felix J. Herrmann, An efficient penalty method for PDE-constrained optimization problem with source estimation and stochastic optimization, in Applied Inverse Problems Annual Conference Proceedings, 2017, p. 40.

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