Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Abstract. Several residuated algebras are taken into account. The set of axioms defining each structure is reduced with the aim to obtain an independent axiomatization. Further, th...
Abstract. The sub-optimality approximation problem considers an optimization problem O, its optimal solution σ∗ , and a variable x with domain {d1, . . . , dm} and returns appro...
This talk presents an algorithm to search for all approximate matches of a helix in a genome, where a helix is a combination of sequence and folding constraints. It is a joint wor...
We show how to approximate the feasible region of structured convex optimization problems by a family of convex sets with explicitly given and efficient (if the accuracy of the ap...