Seminario de Optimización.

Universidad de los Andes

El seminario de optimización de este semestre estudiará artículos fundamentales en el área de Adquisición comprimida (Compressive Sensing). El seminario se centrara en tres temas: Geometria de compressive sensing, Certificados de recuperacion y compressive sensing de matrices (matrix decomposition/ matrix completion).

Geometria de compressive sensing
Autor Título Link
Chandrasekaran, Recht, Parrilo, Willsky The Convex Geometry of Linear Inverse Problems ArXiv
Amelunxen, Lotz, McCoy, Tropp Living on the edge: Phase transitions in convex programs with random data ArXiv

Compressive sensing de matrices
Autor Título Link
Recht, Fazel, Parrilo Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization. pdf
Chandrasekaran, Sanghavi, Parrilo, Willsky Rank-Sparcity incoherence for matrix decomposition. pdf
Candes, Recht Exact Matrix Completion via Convex Optimization. pdf

Certificados de recuperación
Autor Título Link
Iouditzki, Nemirovski Verifiable sufficient conditions for sparse signal recovery via l^1 minimization. ArXiv
DeVore Deterministic construction of compressed sensing matrices pdf
Candes, Romberg, Tao Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information pdf
Candes The restricted isometry property and its implications for compressed sensing. pdf