2,419 research outputs found
On Multistage Learning a Hidden Hypergraph
Learning a hidden hypergraph is a natural generalization of the classical
group testing problem that consists in detecting unknown hypergraph
by carrying out edge-detecting tests. In the given paper we
focus our attention only on a specific family of localized
hypergraphs for which the total number of vertices , the number of
edges , , and the cardinality of any edge ,
. Our goal is to identify all edges of by
using the minimal number of tests. We develop an adaptive algorithm that
matches the information theory bound, i.e., the total number of tests of the
algorithm in the worst case is at most . We also discuss
a probabilistic generalization of the problem.Comment: 5 pages, IEEE conferenc
Kinetic Monte Carlo simulation of faceted islands in heteroepitaxy using multi-state lattice model
A solid-on-solid model is generalized to study the formation of Ge pyramid
islands bounded by (105) facets on Si(100) substrates in two dimensions. Each
atomic column is not only characterized by the local surface height but also by
two deformation state variables dictating the local surface tilt and vertical
extension. These deformations phenomenologically model surface reconstructions
in (105) facets and enable the formation of islands which better resemble
faceted pyramids. We demonstrate the model by application to a kinetic limited
growth regime. We observe significantly reduced growth rates after faceting and
a continuous nucleation of new islands until overcrowding occurs.Comment: 7 pages, 5 figure
Effect of internal heat evolution on the motion of a solid particle in a viscous fluid
The problem of the effect of internal heat evolution on the motion of a heated solid spherical particle in a viscous fluid is analytically solved in the Stokes approximation at small Reynolds and Peclet numbers. The temperature drop between the surface of the particle and the area away from it is assumed to be arbitrary. In solving hydrodynamic equations, the thermal conductivity of the particle is set to be a power function of temperature and the viscosity of the fluid, an exponential-power function of temperature. The observability of this effect is discussedyesBelgorod State Universit
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