@article{4111, abstract = {This paper describes an optimal solution for the following geometric search problem defined for a set P of n points in three dimensions: Given a plane h with all points of P on one side and a line ℓ in h, determine a point of P that is hit first when h is rotated around ℓ. The solution takes O(n) space and O(log n) time for a query. By use of geometric transforms, the post-office problem for a finite set of points in two dimensions and certain two-dimensional point location problems are reduced to the former problem and thus also optimally solved.}, author = {Edelsbrunner, Herbert and Maurer, Hermann}, issn = {1872-6119}, journal = {Information Processing Letters}, number = {1}, pages = {39 -- 47}, publisher = {Elsevier}, title = {{Finding extreme-points in 3-dimensions and solving the post-office problem in the plane}}, doi = {10.1016/0020-0190(85)90107-3}, volume = {21}, year = {1985}, } @article{4112, abstract = {The batched static version of a searching problem asks for performing a given set of queries on a given set of objects. All queries are known in advance. The batched dynamic version of a searching problem is the following: given a sequence of insertions, deletions, and queries, perform them on an initially empty set. We will develop methods for solving batched static and batched dynamic versions of searching problems which are in particular applicable to decomposable searching problems. The techniques show that batched static (dynamic) versions of searching problems can often be solved more efficiently than by using known static (dynamic) data structures. In particular, a technique called “streaming” is described that reduces the space requirements considerably. The methods have also a number of applications on set problems. E.g., the k intersecting pairs in a set of n axis-parallel hyper-rectangles in d dimensions can be reported in O (nlogd−1n + k) time using only O(n) space.}, author = {Edelsbrunner, Herbert and Overmars, Mark}, issn = {1090-2678}, journal = {Journal of Algorithms}, number = {4}, pages = {515 -- 542}, publisher = {Elsevier}, title = {{Batched dynamic solutions to decomposable searching problems}}, doi = {10.1016/0196-6774(85)90030-6}, volume = {6}, year = {1985}, } @article{4113, abstract = {Let S denote a set of n points in the Euclidean plane. A subset S′ of S is termed a k-set of S if it contains k points and there exists a straight line which has no point of S on it and separates S′ from S−S′. We let fk(n) denote the maximum number of k-sets which can be realized by a set of n points. This paper studies the asymptotic behaviour of fk(n) as this function has applications to a number of problems in computational geometry. A lower and an upper bound on fk(n) is established. Both are nontrivial and improve bounds known before. In particular, is shown by exhibiting special point-sets which realize that many k-sets. In addition, is proved by the study of a combinatorial problem which is of interest in its own right.}, author = {Edelsbrunner, Herbert and Welzl, Emo}, issn = {1096-0899}, journal = {Journal of Combinatorial Theory Series A}, number = {1}, pages = {15 -- 29}, publisher = {Elsevier}, title = {{On the number of line separations of a finite set in the plane}}, doi = {10.1016/0097-3165(85)90017-2}, volume = {38}, year = {1985}, } @article{4114, abstract = {Proportional link linkage (PLL) clustering methods are a parametric family of monotone invariant agglomerative hierarchical clustering methods. This family includes the single, minimedian, and complete linkage clustering methods as special cases; its members are used in psychological and ecological applications. Since the literature on clustering space distortion is oriented to quantitative input data, we adapt its basic concepts to input data with only ordinal significance and analyze the space distortion properties of PLL methods. To enable PLL methods to be used when the numbern of objects being clustered is large, we describe an efficient PLL algorithm that operates inO(n 2 logn) time andO(n 2) space}, author = {Day, William and Edelsbrunner, Herbert}, issn = {1432-1343}, journal = {Journal of Classification}, number = {2-3}, pages = {239 -- 254}, publisher = {Springer}, title = {{Investigation of Proportional Link Linkage Clustering Methods}}, doi = {10.1007/BF01908077}, volume = {2}, year = {1985}, } @article{4115, abstract = {A polygon in the plane is convex if it contains all line segments connecting any two of its points. Let P and Q denote two convex polygons. The computational complexity of finding the minimum and maximum distance possible between two points p in P and q in Q is studied. An algorithm is described that determines the minimum distance (together with points p and q that realize it) in O(logm + logn) time, where m and n denote the number of vertices of P and Q, respectively. This is optimal in the worst case. For computing the maximum distance, a lower bound Ω(m + n) is proved. This bound is also shown to be best possible by establishing an upper bound of O(m + n).}, author = {Edelsbrunner, Herbert}, issn = {1090-2678}, journal = {Journal of Algorithms}, number = {2}, pages = {213 -- 224}, publisher = {Academic Press}, title = {{Computing the extreme distances between two convex polygons}}, doi = {10.1016/0196-6774(85)90039-2}, volume = {6}, year = {1985}, } @article{4116, abstract = {A straight line that intersects all members of a set S of objects in the real plane is called a transversal of S. Geometric transforms are described that reduce transversal problems for various types of objects to convex hull problems for points. These reductions lead to efficient algorithms for finding transversals which are also described. Applications of the algorithms are found in computer graphics: “Reproduce the line displayed by a collection of pixels”, and in statistics: “Find the line that minimizes the maximum distance from a collection of (weighted) points in the plane”.}, author = {Edelsbrunner, Herbert}, issn = {0304-3975}, journal = {Theoretical Computer Science}, number = {1}, pages = {55 -- 69}, publisher = {Elsevier}, title = {{Finding Transversals for Sets of Simple Geometric-Figures}}, doi = {10.1016/0304-3975(85)90005-2}, volume = {35}, year = {1985}, } @article{4120, abstract = {Let P be a set of n points in the Euclidean plane and let C be a convex figure. We study the problem of preprocessing P so that for any query point q, the points of P in C+q can be retrieved efficiently. If constant time sumces for deciding the inclusion of a point in C, we then demonstrate the existence of an optimal solution: the algorithm requires O(n) space and O(k + log n) time for a query with output size k. If C is a disk, the problem becomes the wellknown fixed-radius neighbour problem, to which we thus provide the first known optimal solution.}, author = {Chazelle, Bernard and Edelsbrunner, Herbert}, issn = {1095-855X}, journal = {Journal of Symbolic Computation}, number = {1}, pages = {47 -- 56}, publisher = {Elsevier}, title = {{Optimal solutions for a class of point retrieval problems}}, doi = {10.1016/S0747-7171(85)80028-6}, volume = {1}, year = {1985}, } @inbook{4241, author = {Curtis, C. and Curtis, J. and Barton, Nicholas H}, booktitle = {Genetic Control of Host Resistance to Infection and Malignancy}, editor = {Skamene, Emil}, isbn = {9780845141021}, publisher = {Liss}, title = {{Methodology for testing the hypothesis of single locus control of host resistance to infection and malignancy}}, volume = {3}, year = {1985}, } @article{4325, author = {Jones, Steve and Barton, Nicholas H}, journal = {Nature}, pages = {668 -- 668}, publisher = {Nature Publishing Group}, title = {{Haldane's Rule OK}}, doi = {10.1038/314668a0}, volume = {314}, year = {1985}, } @article{4326, author = {Barton, Nicholas H and Hewitt, Godfrey}, issn = {1545-2069}, journal = {Annual Review of Ecology and Systematics}, pages = {113 -- 148}, publisher = {Annual Reviews}, title = {{Analysis of hybrid zones}}, doi = {10.1146/annurev.es.16.110185.000553}, volume = {16}, year = {1985}, }