In the 2 years since our last 4OR review of distance geometry methods with applications to proteins and nanostructures, there has been rapid progress in treating uncertainties in the …
C Lavor, R Alves - Advances in Applied Clifford Algebras, 2019 - Springer
The problem of 3D protein structure determination using distance information from nuclear magnetic resonance (NMR) experiments is a classical problem in distance geometry. NMR …
In this paper, we consider routing problems with identical vehicles. In their standard formulations, decision variables (such as the routing decisions and delivery quantities) often …
On the polynomiality of finding KDMDGP re-orders - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
The fundamental inverse problem in distance geometry is the one of finding positions from inter-point distances. The Discretizable Molecular Distance Geometry Problem (DMDGP) is …
Abstract The K-Discretizable Molecular Distance Geometry Problem (^ K DMDGP K DMDGP) is a subclass of the Distance Geometry Problem (DGP), whose complexity is NP …
Backtracking branch‐and‐prune (BP) algorithms and their variants are exhaustive search tree techniques widely employed to solve optimization problems in many scientific areas …
C Lavor, A Oliveira, W Rocha, M Souza - Computational and Applied …, 2021 - Springer
Abstract The Discretizable Molecular Distance Geometry Problem (DMDGP) is a subclass of the Distance Geometry Problem, which aims to embed a weighted simple undirected graph …
Over the last years, my research activity has mainly been focused on Distance Geometry (DG). Differently from the classical Euclidean Geometry, DG solely relies on distances, and …