Talks on Optimization
From Wikimization
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= Slides, Powerpoint, and PDF Presentations <font size=-1>([http://www.convexoptimization.com/wikimization/index.php/Optimization_Videos More talks, in video format])</font> = | = Slides, Powerpoint, and PDF Presentations <font size=-1>([http://www.convexoptimization.com/wikimization/index.php/Optimization_Videos More talks, in video format])</font> = | ||
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+ | == Optimization with <math>\|x\|^2\!=\!1</math> or <math>\,X'X\!=\!I</math> Fast Constraint-Preserving Algorithms == | ||
+ | [http://www.convexoptimization.com/TOOLS/WatanTalk.pdf Zaiwen Wen, Wotao Yin, resp. NSF Postdoc with UCLA and Rice, Department of Computational and Applied Mathematics (CAAM) Rice University, October 2010] | ||
== Rigidity and Localization: An Optimization Perspective == | == Rigidity and Localization: An Optimization Perspective == |
Revision as of 17:20, 23 October 2010
Slides, Powerpoint, and PDF Presentations (More talks, in video format)
Optimization with or Fast Constraint-Preserving Algorithms
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)