Talks on Optimization
From Wikimization
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== Sampling Theory and Practice: 50 Ways to Sample your Signal == | == Sampling Theory and Practice: 50 Ways to Sample your Signal == | ||
- | [http://www.convexoptimization.com/TOOLS/sampling_sparsity. | + | [http://www.convexoptimization.com/TOOLS/sampling_sparsity.ppt Martin Vetterli, EPFL & UC Berkeley (14MByte)] |
== A Feasible Method for Optimization with <math>\|x\|^2\!=\!1</math> or <math>\,X^TX\!=\!I</math> == | == A Feasible Method for Optimization with <math>\|x\|^2\!=\!1</math> or <math>\,X^TX\!=\!I</math> == |
Revision as of 22:58, 22 November 2010
Slides, Powerpoint, and PDF Presentations (More talks, in video format)
Sampling Theory and Practice: 50 Ways to Sample your Signal
Martin Vetterli, EPFL & UC Berkeley (14MByte)
A Feasible Method for Optimization with or
Rigidity and Localization: An Optimization Perspective
Explicit Sensor Network Localization using Semidefinite Programming and Facial Reduction
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)