Abstract— The sparsification of the reluctance matrix L−1 (where L denotes the usual inductance matrix L) has been widely used in several recent investigations to make the pro...
Hong Li, Venkataramanan Balakrishnan, Cheng-Kok Ko...
We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...
In this paper, we present a reduced order inodeling methodology, based on the utilization of optimal non-uniform grids generated by Gaussian spectral rules, for the direct passive...
Traianos Yioultsis, Anne Woo, Andreas C. Cangellar...
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Abstract. The input to the Shortest Common Superstring (SCS) problem is a set S of k words of total length n. In the classical version the output is an explicit word SCS(S) in whic...
Maxime Crochemore, Marek Cygan, Costas S. Iliopoul...