How hard is it to invert NP-problems? We show that all superlinearly certified inverses of NP problems are coNP-hard. To do so, we develop a novel proof technique that builds dia...
Edith Hemaspaandra, Lane A. Hemaspaandra, Harald H...
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Background: Bifurcation analysis has proven to be a powerful method for understanding the qualitative behavior of gene regulatory networks. In addition to the more traditional for...
— This paper formulates and solves the inverse dynamics problem of deformable robots made entirely of electro-active polymer gel. One of the primary difficulties with deformable...