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6.896 Project Presentations
6.896 Project Presentations

... If there is a conflict, the transaction is aborted. Restore the modified locations to their original values, wait some time, and then try again If we successfully completed, commit the changes and cleanup. ...
Constant-Time Local Computation Algorithms
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Pseudo Code for Case/Non-Case Version of Heart Failure
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Selection
Selection

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Exact discovery of length-range motifs
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... The inputs to the algorithm are the time series x, its total length T , motif length L, and the number of reference points Nr . The algorithm starts by selecting a random set of Nr reference points. The algorithm works in two phases: The first phase (called hereafter referencing phase) is used to c ...
Selection - Universitatea Politehnica din Bucuresti
Selection - Universitatea Politehnica din Bucuresti

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Similarity Join in Metric Spaces using eD-Index
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A Robust Seedless Algorithm for Correlation Clustering

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Quantile Regression for Large-scale Applications

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Karp Algorithm

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Selection algorithm

In computer science, a selection algorithm is an algorithm for finding the kth smallest number in a list or array; such a number is called the kth order statistic. This includes the cases of finding the minimum, maximum, and median elements. There are O(n) (worst-case linear time) selection algorithms, and sublinear performance is possible for structured data; in the extreme, O(1) for an array of sorted data. Selection is a subproblem of more complex problems like the nearest neighbor and shortest path problems. Many selection algorithms are derived by generalizing a sorting algorithm, and conversely some sorting algorithms can be derived as repeated application of selection.The simplest case of a selection algorithm is finding the minimum (or maximum) element by iterating through the list, keeping track of the running minimum – the minimum so far – (or maximum) and can be seen as related to the selection sort. Conversely, the hardest case of a selection algorithm is finding the median, and this necessarily takes n/2 storage. In fact, a specialized median-selection algorithm can be used to build a general selection algorithm, as in median of medians. The best-known selection algorithm is quickselect, which is related to quicksort; like quicksort, it has (asymptotically) optimal average performance, but poor worst-case performance, though it can be modified to give optimal worst-case performance as well.
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