Imaging and Computing Seminar
This new seminar series covers a wide range of topics in information science (data, signals, images), computational science (numerical analysis, inverse problems, optimization), and the mathematics that underlies those areas.
Co-organized by Laurent Demanet (Math) and Alison Malcolm (EAPS). The seminar normally meets on Thursdays at 4:15pm in room 36-112. Contact Laurent for opting in or out of the seminar mailing list.
Schedule for Fall 2010:
- Th 09/30, at 2:00pm, in room 54-517 (special time, special room!)
Maarten de Hoop, Mathematics, Purdue University.
Construction and properties of solutions of the acoustic and elastic wave equations with coefficients of limited smoothness - Th 10/07, at 4:15pm, in room 2-131
Julius Kusuma, Schlumberger-Doll Research.
A parametric approach to acquisition of signals with a finite rate of innovation: results and challenges - Th 10/14, at 4:15, in room 54-517
Thomas Gallot , Universite Joseph Fourier, Grenoble.
Passive elastography : a correlation-based shear wave tomography in soft solids - Th 10/21, no seminar.
See instead the talk of Charles Fefferman at 4:30pm in room 4-237 on Interpolation of data in R^n. - Th 10/28, no seminar.
See the talk of Thomas Hoft in the Schlumberger-Tufts computational mathematics seminar. - Th 11/04, at 4:30pm, in room 2-131
Dan Kushnir, Dept of Mathematics, Yale University
Anisotropic diffusion on sub-manifolds with application to Earth structure classification - Th 11/11, no seminar.
Veteran's day holiday. - Th 11/18, at 4:30pm, in room 2-131
Jalal Fadili, ENSI Caen
Dequantizing Compressed Sensing: from recovery guarantees to nonsmooth optimization - Th 11/25, no seminar.
Thanksgiving holiday. - Th 12/02, no seminar.
See the 12/08 talk of Laurent Demanet in the Schlumberger-Tufts computational mathematics seminar. - Th 12/09, at 3:00pm, in room 54-517
Andreas Kloeckner, Courant Institute, New York University
Machine-adapted Methods: High-order Discontinuous Galerkin Wave Propagation on GPUs - Mo 12/13, at 3:00pm, in room 2-147
Yaniv Plan, Applied and Computational Mathematics, Caltech
A probabilistic and RIPless theory of compressed sensing
