Conference paper
Learning Reduced Order Dynamics via Geometric Representations
Imran Nasim, Melanie Weber
SCML 2024
We consider an APX-hard variant (Δ-Max-ATSP) and an APX-hard relaxation (Max-3-DCC) of the classical traveling salesman problem. We present a frac(31, 40)-approximation algorithm for Δ-Max-ATSP and a frac(3, 4)-approximation algorithm for Max-3-DCC with polynomial running time. The results are obtained via a new way of applying techniques for computing undirected cycle covers to directed problems. © 2009 Elsevier B.V. All rights reserved.
Imran Nasim, Melanie Weber
SCML 2024
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
Leo Liberti, James Ostrowski
Journal of Global Optimization
George Markowsky
J. Math. Anal. Appl.