@presentation {vanleeuwen2012SINBAD3dfd,
	title = {3D frequency-domain waveform inversion using a row-projected Helmholtz solver},
	year = {2012},
	publisher = {SINBAD},
	abstract = {3D frequency-domain full waveform inversion relies on being able to efficiently solve the 3D Helmholtz equation. Iterative methods require sophisticated preconditioners because the Helmholtz matrix is typically indefinite. In the first part of the talk I review a preconditioning technique that is based on row-projections. Notable advantages of this preconditioner over existing ones are that it has low algorithmic complexity, is easily parallelizable and extendable to time-harmonic vector equations. In the second part of the talk I discuss how the row-projected solver can be used in the context of waveform inversion. Key aspects are: the use of block-iterative methods for multiple sources and adapting the accuracy of the solver.},
	keywords = {Presentation, SINBAD, SINBADFALL2012, SLIM},
	url = {https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2012/Fall/vanleeuwen2012SINBAD3dfd/vanleeuwen2012SINBAD3dfd_pres.pdf},
	author = {Tristan van Leeuwen}
}
@presentation {herrmann2012SINBADfwi,
	title = {Our findings on the Chevron benchmark dataset},
	year = {2012},
	publisher = {SINBAD},
	abstract = {During this presentation, we will review our findings working with the synthetic GOM data released as part of the post SEG workshop:"Gulf of Mexico Imaging Challenges: What Can Full Waveform Inversion Achieve?". This is joint work with Andrew J. Calvert, Ian Hanlon, Mostafa Javanmehri, Rajiv Kumar, Tristan van Leeuwen, Xiang Li, Brendan R. Smithyman, Eric Takam Takougang, and Haneet Wason.},
	keywords = {Presentation, SINBAD, SINBADFALL2012, SLIM},
	url = {https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2012/Fall/herrmann2012SINBADfwi/herrmann2012SINBADfwi_pres.pdf},
	author = {Andrew J. Calvert and Ian Hanlon and Mostafa Javanmehri and Rajiv Kumar and Tristan van Leeuwen and Xiang Li and Brendan R. Smithyman and Eric Takam Takougang and Haneet Wason and Felix J. Herrmann}
}
@presentation {herrmann2012SINBADhpc,
	title = {SLIM{\textquoteright}s perspective on HPC \& big data},
	year = {2012},
	publisher = {SINBAD},
	keywords = {Presentation, SINBAD, SINBADFALL2012, SLIM},
	url = {https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2012/Fall/herrmann2012SINBADhpc/herrmann2012SINBADhpc_pres.pdf},
	author = {Tim T.Y. Lin and Tristan van Leeuwen and Felix J. Herrmann}
}
@presentation {vanleeuwen2012SINBADyap,
	title = {Yet another perspective on image volumes},
	year = {2012},
	publisher = {SINBAD},
	abstract = {An extended image is defined as the multi-dimensional cross-correlation of the source and receiver wavefields used for imaging. This extended image will reveal velocity errors by de-focusing and can thus be used for velocity analysis. However, for optimal sensitivity to velocity errors, the subsurface offset has to be aligned with the local dip. As this dip is not known a priori, we consider forming the extended image for subsurface offsets in all directions. However, computing and storing such a large image volume is not computationally feasible. We organize the image volume in a matrix and use matrix-probing techniques to glean information form the matrix without explicitly forming it. A matrix-vector multiply with the image-volume matrix can be performed at the cost of two wave-equation solves and does not require any explicit cross-correlations of the wavefields. Such techniques can also be used to evaluate focusing penalties without forming the whole image volume. Finally, the matrix-viewpoint allows us to derive a 2-way equivalent of the DSR equation in a straightforward manner and provides a possible avenue for developing new velocity-continuation techniques.},
	keywords = {Presentation, SINBAD, SINBADFALL2012, SLIM},
	url = {https://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2012/Fall/vanleeuwen2012SINBADyap/vanleeuwen2012SINBADyap_pres.pdf},
	author = {Tristan van Leeuwen}
}
