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