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Applied
Mathematics
- Numerical Analysis
Linear programming, solvers of linear systems, Monte-Carlo
methods for large matrices, low rank approximations, applications to
MAX-CSP problems
- Computational
Harmonic
Analysis, Compressed Sensing and Coding
Uncertainty principles, vector quantization, signal processing, error
correcting codes, sparse reconstruction, dimension reduction, frames
- Statistical
Learning Theory
Applications to empirical processes
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