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  2. R-tree - Wikipedia

    en.wikipedia.org/wiki/R-tree

    The key idea is to use the bounding boxes to decide whether or not to search inside a subtree. In this way, most of the nodes in the tree are never read during a search. Like B-trees, R-trees are suitable for large data sets and databases, where nodes can be paged to memory when needed, and the whole tree cannot be kept in main memory. Even if ...

  3. Situation, task, action, result - Wikipedia

    en.wikipedia.org/wiki/Situation,_task,_action...

    This R aims to gather insight and interviewee's ability to learn and iterate. Whereas the STAR reveals how and what kind of result on an objective was achieved, the STARR with the additional R helps the interviewer to understand what the interviewee learned from the experience and how they would assimilate experiences.

  4. R*-tree - Wikipedia

    en.wikipedia.org/wiki/R*-tree

    In data processing R*-trees are a variant of R-trees used for indexing spatial information. R*-trees have slightly higher construction cost than standard R-trees, as the data may need to be reinserted; but the resulting tree will usually have a better query performance. Like the standard R-tree, it can store both point and spatial data.

  5. Hilbert R-tree - Wikipedia

    en.wikipedia.org/wiki/Hilbert_R-tree

    The performance of R-trees depends on the quality of the algorithm that clusters the data rectangles on a node. Hilbert R-trees use space-filling curves, and specifically the Hilbert curve, to impose a linear ordering on the data rectangles. There are two types of Hilbert R-trees: one for static databases, and one for dynamic databases. In both ...

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  7. Rapidly exploring random tree - Wikipedia

    en.wikipedia.org/wiki/Rapidly_exploring_random_tree

    The length of the connection between the tree and a new state is frequently limited by a growth factor. If the random sample is further from its nearest state in the tree than this limit allows, a new state at the maximum distance from the tree along the line to the random sample is used instead of the random sample itself.

  8. Mutual recursion - Wikipedia

    en.wikipedia.org/wiki/Mutual_recursion

    The most important basic example of a datatype that can be defined by mutual recursion is a tree, which can be defined mutually recursively in terms of a forest (a list of trees). Symbolically: f: [t[1], ..., t[k]] t: v f A forest f consists of a list of trees, while a tree t consists of a pair of a value v and a forest f (its children). This ...

  9. Category:R-tree - Wikipedia

    en.wikipedia.org/wiki/Category:R-tree

    Pages in category "R-tree" The following 6 pages are in this category, out of 6 total. This list may not reflect recent changes. ...