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Topics – AT16
Topics
Abstract approximation
Approximation with constraints
Classical approximation
Complex approximation
Compressed sensing
Curves and surfaces
Extremal problems
High dimensional approximation
Image and signal processing
Interpolation and smoothing
Isogeometric analysis
Machine learning
Multiresolution analysis
Nonlinear approximation
Numerial PDE’s
Orthogonal polynomials
Positive definite kernels and RBF’s
Scattered data modeling
Shift-invariant spaces
Splines and applications
Subdivision and refinable functions
Wavelets and Frames
Applications of approximation theory
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