Properties and splitting method for the p-Elastic Net

The lasso of Tibshirani is a popular model for variable selections.
The elastic net of Zou and Hastie applies Tikhonov's regularization to the
lasso to break some limitations of the lasso in the case where the number of
predictors is much bigger than the number of observations, or where a group
of variables have pairwise high correlations. We generalize the elastic net by
replacing Tikhonov's regularization with a more general `p-norm regularization
which we refer to as the p-elastic net. One diculty for dealing with the p-

Mid Term 2 - CEN 352

The Mid Term 2 Examination for CEN 352 - Digital Signal Processing will take place on Thursday 28 April 2016 in room no. 62 from 6:30 - 8:00 pm.

5811 ريض (التحليل الدالي I)

Vector spaces, Normed spaces, Banach spaces: basic properties and examples, convex sets, subspaces and quotient spaces, linear functionals and dual spaces. Fundamental theorems: Hahn-Banach theorem, the uniform boundedness principle, the open mapping theorem and closed graph theorem. Hilbert spaces: the Riesz representation theorem, orthonormal bases, isomorphic Hilbert spaces. Operators on Hilbert spaces: basic properties and examples, adjoints, projections, self-adjoint operators, normal operators, isometric and unitary operators, positive operators and polar decomposition.

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