4,293 research outputs found
Higher signature Delaunay decompositions
A Delaunay decomposition is a cell decomposition in R^d for which each cell
is inscribed in a Euclidean ball which is empty of all other vertices. This
article introduces a generalization of the Delaunay decomposition in which the
Euclidean balls in the empty ball condition are replaced by other families of
regions bounded by certain quadratic hypersurfaces. This generalized notion is
adaptable to geometric contexts in which the natural space from which the point
set is sampled is not Euclidean, but rather some other flat semi-Riemannian
geometry, possibly with degenerate directions. We prove the existence and
uniqueness of the decomposition and discuss some of its basic properties. In
the case of dimension d = 2, we study the extent to which some of the
well-known optimality properties of the Euclidean Delaunay triangulation
generalize to the higher signature setting. In particular, we describe a higher
signature generalization of a well-known description of Delaunay decompositions
in terms of the intersection angles between the circumscribed circles.Comment: 25 pages, 6 figure
General models in min-max planar location
This paper studies the problem of deciding whether the present iteration point of some algorithm applied to a planar singlefacility min-max location problem, with distances measured by either anl p -norm or a polyhedral gauge, is optimal or not. It turns out that this problem is equivalent to the decision problem of whether 0 belongs to the convex hull of either a finite number of points in the plane or a finite number of differentl q -circles . Although both membership problems are theoretically solvable in polynomial time, the last problem is more difficult to solve in practice than the first one. Moreover, the second problem is solvable only in the weak sense, i.e., up to a predetermined accuracy. Unfortunately, these polynomial-time algorithms are not practical. Although this is a negative result, it is possible to construct an efficient and extremely simple linear-time algorithm to solve the first problem. Moreover, this paper describes an implementable procedure to reduce the second decision problem to the first with any desired precision. Finally, in the last section, some computational results for these algorithms are reported.optimality conditions;continuous location theory;computational geometry;convex hull;Newton-Raphson method
Aspects of Unstructured Grids and Finite-Volume Solvers for the Euler and Navier-Stokes Equations
One of the major achievements in engineering science has been the development of computer algorithms for solving nonlinear differential equations such as the Navier-Stokes equations. In the past, limited computer resources have motivated the development of efficient numerical schemes in computational fluid dynamics (CFD) utilizing structured meshes. The use of structured meshes greatly simplifies the implementation of CFD algorithms on conventional computers. Unstructured grids on the other hand offer an alternative to modeling complex geometries. Unstructured meshes have irregular connectivity and usually contain combinations of triangles, quadrilaterals, tetrahedra, and hexahedra. The generation and use of unstructured grids poses new challenges in CFD. The purpose of this note is to present recent developments in the unstructured grid generation and flow solution technology
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