When a phenomenon is described by a parametric model and multiple datasets are available, a key problem in statistics is to discover which datasets are characterized by the same p...
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The reg...
Abstract: A hybrid quantum mechanical/molecular mechanical (QM/MM) potential energy function with HartreeFock, density functional theory (DFT), and post-HF (RIMP2, MP2, CCSD) capab...
H. Lee Woodcock III, Milan Hodoscek, Andrew T. B. ...
Abstract. In this paper we improve traditional steepest descent methods for the direct minimization of the Gross-Pitaevskii (GP) energy with rotation at two levels. We first defi...