move figure to the right section

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Andreas Fabri 2012-09-03 08:06:41 +00:00
parent 51a74c8b18
commit ecc438200a
1 changed files with 3 additions and 4 deletions

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@ -38,9 +38,7 @@ is a polygon whose vertices \f$ v_1, \ldots, v_n\f$ can be divided into two chai
intersects either chain at most once. For producing a \f$ y\f$-monotone partition
of a given polygon, the sweep-line algorithm
presented in \cite bkos-cgaa-97 is implemented by the function
`::y_monotone_partition_2`
.
This algorithm runs in \f$ O(n \log n)\f$ time and requires \f$ O(n)\f$ space.
`::y_monotone_partition_2`. This algorithm runs in \f$ O(n \log n)\f$ time and requires \f$ O(n)\f$ space.
This algorithm does not guarantee a bound on the number of polygons
produced with respect to the optimal number.
@ -50,7 +48,6 @@ which determines if a sequence of points in 2D defines a \f$ y\f$-monotone
polygon or not. For examples of the use of these functions, see the
corresponding reference pages.
\image html approximate_optimal_vs_optimal.png "Examples of an approximate optimal convex partition (left) and an optimal convex partition (right)."
\section secpartition_2_convex Convex Partitioning
@ -64,6 +61,8 @@ no more than four times the optimal number of convex pieces but they differ in
their runtime complexities. Though the triangulation-based approximation
algorithm often results in fewer convex pieces, this is not always the case.
\image html approximate_optimal_vs_optimal.png "Examples of an approximate optimal convex partition (left) and an optimal convex partition (right)."
An optimal convex partition can be produced using the function `::optimal_convex_partition_2`.
This function provides an