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        <dc:title>Halfplanar range search in linear space and O(n0.695) query time</dc:title>
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        <bibo:abstract>Let S denote a set of n points in the Euclidean plane. A halfplanar range query specifies a halfplane h and requires the determination of the number of points in S which are contained in h. A new data structure is described which stores S in O(n) space and allows us to answer a halfplanar range query in O(nlog2(1+√5)−1) time in the worst case, thus improving the best result known before. The structure can be built in O(n log n) time.</bibo:abstract>
        <bibo:volume>23</bibo:volume>
        <bibo:issue>5</bibo:issue>
        <bibo:startPage>289 - 293</bibo:startPage>
        <bibo:endPage>289 - 293</bibo:endPage>
        <dc:publisher>Elsevier</dc:publisher>
        <bibo:doi rdf:resource="10.1016/0020-0190(86)90088-8" />
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