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PDF - Complete Book (3.38 MB)
PDF - Complete Book (3.38 MB)

... built with an equivalent API called the XML API. This API works by sending and receiving XML documents over an HTTP connection. This scheme allows the use of any programming language with the ability to create and parse XML and handle HTTP connections. Languages such as Perl or ASP in conjunction wi ...
Adaptive and Approximate Orthogonal Range Counting
Adaptive and Approximate Orthogonal Range Counting

... A previous work by Nekrich [27] described data structures for approximate orthogonal range counting using a more precise notion of approximation. His data structures compute an approximation k 0 such that k − δk p ≤ k 0 ≤ k + δk p , where δ > 0 and 0 < p < 1. His 2-D data structure requires O(n log4 ...
CS 372: Computational Geometry Lecture 14 Geometric
CS 372: Computational Geometry Lecture 14 Geometric

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離散對數密碼系統 - 國立交通大學資訊工程學系NCTU Department of
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An Improved BKW Algorithm for LWE with Applications to
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Stochastic Search and Surveillance Strategies for
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Fast Matrix Rank Algorithms and Applications - USC
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The Range 1 Query (R1Q) Problem

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NOVEL TRANSFORMATION TECHNIQUES USING Q-HEAPS WITH APPLICATIONS TO COMPUTATIONAL GEOMETRY

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Streaming algorithms for embedding and computing edit distance in
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Texts in Computational Complexity - The Faculty of Mathematics and

... a \correct" answer; that is, in the case of a search problem (resp., decision problem) we will be interested in the probability that M (x) is a valid solution for the instance x (resp., represents the correct decision regarding x). The foregoing description views the internal coin tosses of the mach ...
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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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