# Talks on Optimization

### From Wikimization

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- | + | = Slides, Powerpoint, and PDF Presentations = | |

+ | [http://www.convexoptimization.com/wikimization/index.php/Optimization_Videos More talks, in video format]. | ||

+ | |||

+ | == Toward 0-norm Reconstruction, and a Nullspace Technique for Compressive Sampling== | ||

+ | [http://www.convexoptimization.com/TOOLS/linear3.ppt Presented by Christine Law with Gary Glover at the Linear Algebra Seminar, University of California, Berkeley, February 4, 2009] (5MB) | ||

+ | |||

+ | Also presented by Christine Law with Gary Glover at the Linear Algebra and Optimization Seminar (CME510), iCME, Stanford University, November 19, 2008 | ||

+ | |||

+ | == Combining Geometry and Combinatorics: A Unified Approach to Sparse Signal Recovery == | ||

+ | [http://www.convexoptimization.com/TOOLS/Anna.pdf Presented by Anna Gilbert at the Applied Mathematics Seminar, Stanford University, October 3, 2008] | ||

+ | |||

+ | == Compressed Sensing with Contiguous Fourier Measurements == | ||

+ | [http://www.convexoptimization.com/TOOLS/mercier.pdf Presented by Jean-François Mercier with Laurent Demanet and George Papanicolaou at the Applied Mathematics Seminar, Stanford University, July 21, 2008] | ||

+ | |||

+ | == Optimization Problems in Compressed Sensing == | ||

+ | [http://www.convexoptimization.com/TOOLS/Jalil.pdf by Jalal Fadili, CNRS, ENSI Caen France, at the Applied Mathematics Seminar, Stanford University, July 21, 2008] | ||

+ | |||

+ | == Compressed Sensing in Astronomy == | ||

+ | [http://www.convexoptimization.com/TOOLS/CompressSensingAstro.pdf Presented by Jean-Luc Starck with Jérôme Bobin at the Applied Mathematics Seminar, Stanford University, July 21, 2008] | ||

+ | |||

+ | == Highly Undersampled 0-Norm Reconstruction == | ||

+ | [http://www.convexoptimization.com/TOOLS/Law.ppt Presented by Christine Law at Lucas Center for Imaging, Stanford University, July 9, 2008] (771KByte) | ||

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+ | == Nonconvex Compressive Sensing == | ||

+ | [http://www.convexoptimization.com/TOOLS/Chartrand1.pdf Presented by Rick Chartrand with Valentina Staneva, Wotao Yin, & Kevin Vixie at the SIAM Conference on Imaging Science 2008, San Diego, California, July 7, 2008] | ||

+ | |||

+ | == IPM per l’Ottimizzazione Conica: SOCP e SDP == | ||

+ | [http://www.convexoptimization.com/TOOLS/IPM_Lezione4.pdf Presented by Andrea Cassioli, Dipartimento di Sistemi e Informatica, Universitá di Firenze, May 28, 2008] | ||

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+ | == Bregman Iterative Algorithms for L1 Minimization with Applications to Compressed Sensing == | ||

+ | [http://www.convexoptimization.com/TOOLS/sjo-BregmanIteration10-07.ppt Presented by Stanley Osher with W. Yin, D. Goldfarb, & J. Darbon at the iCME Colloquium (CME 500), Stanford University, December 3, 2007] (400KByte) |

## Revision as of 23:58, 2 October 2009

# Slides, Powerpoint, and PDF Presentations

## Toward 0-norm Reconstruction, and a Nullspace Technique for Compressive Sampling

Also presented by Christine Law with Gary Glover at the Linear Algebra and Optimization Seminar (CME510), iCME, Stanford University, November 19, 2008

## Combining Geometry and Combinatorics: A Unified Approach to Sparse Signal Recovery

Presented by Anna Gilbert at the Applied Mathematics Seminar, Stanford University, October 3, 2008

## Compressed Sensing with Contiguous Fourier Measurements

## Optimization Problems in Compressed Sensing

## Compressed Sensing in Astronomy

## Highly Undersampled 0-Norm Reconstruction

Presented by Christine Law at Lucas Center for Imaging, Stanford University, July 9, 2008 (771KByte)