The Guedon-Vershynin Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering

We propose in section 2 a finite method using the steepest ascent direction given by the projection of the gradient onto the cône of tangents at the current point, which is

Hara, Interior point methods for the monotone semi-definite linear complementarity problem in symmetric matrices. Wolkowicz,

In this paper we will describe a new class of coloring problems, arising from military frequency assignment, where we want to minimize the number of distinct n-uples of colors used

The contributions made in this study are follows: we model the deterministic OT scheduling problem, integrating allocation and sequencing decisions in the same model; we

Our method was compared and outperformed the anisotropic constrained regularization using generated data with known noise model, and significantly improved human skeletal

Positive semi-definite biquadratic forms which are not sums of squares have some important applications in several areas such as control theory and theoretical physics, even if in

It was shown that the state estimation problem can be solved using a convex relaxation based on semi-definite programming.. In the present paper, we propose a fast algorithm for

This hierarchy also provides us with a theorem of the alternative (or duality theorem) which uses a non linear polynomial, a discrete analogue of the celebrated Farkas Lemma in