Titlebook: Computational Geometry; XIV Spanish Meeting Alberto Márquez,Pedro Ramos,Jorge Urrutia Book 2012 Springer-Verlag Berlin Heidelberg 2012 com

東西

Lament

FLINT

invert

Random Loads Acting on Marine Structures,ermining lower bounds on the weight of the heaviest increasing path a point set always has..We also study the problem of finding a non-crossing matching of the elements of . of maximum weight, where the weight of an edge with endpoints ., .?∈?. is min{.,.}.

高度

effrontery

0302-9743 he occasion of his 60th birthday; it contains extended versions of selected communications presented at the XIV Spanish Meeting on Computational Geometry, held at the University of Alcalá, Spain, in June 2011. .Ferran Hurtado has played a central role in the Spanish community of Computational Geomet

fidelity

Studies in Risk and Uncertaintyrossing number, provide an improved lower bound for the number of convex 5-holes any point set must contain, and prove that the number of general 5-holes is asymptotically maximized for point sets in convex position.

occult

Applications of Stochastic Dominance Rules, string is taut and circulates, it rotates by friction all the ⊕-disks counterclockwise and all the ?-disks clockwise, without any string-rubbing conflicts. We show that although this is not always possible, natural disk-separation conditions guarantee a solution. We also characterize the hexagonal “penny-packing” arrangements that are wrappable.

negotiable

Stochastic Dominance: The Quantile,nly the colors of the points are considered. We show that: the number of distinct radial orderings of . is at most .(.) and at least Ω(.); the number of colored radial orderings of . is at most .(.) and at least Ω(.); there exists sets of points with Θ(.) colored radial orderings and sets of points with only .(.) colored radial orderings.

Glossy

On 5-Gons and 5-Holes,rossing number, provide an improved lower bound for the number of convex 5-holes any point set must contain, and prove that the number of general 5-holes is asymptotically maximized for point sets in convex position.