Showing 7 open source projects for "sorting algorithm"

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  • 1
    Swift Algorithm Club

    Swift Algorithm Club

    Algorithms and data structures in Swift, with explanations

    Swift Algorithm Club is a project that implements a broad collection of algorithms and data structures in the Swift programming language, with clear commentary and educational intent. Its purpose is not primarily to be a utility library, but rather to teach the how and why behind algorithms—readers can study implementations, complexity, and design choices in a Swift context.
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  • 2
    Data Algorithm/leetcode/lintcode

    Data Algorithm/leetcode/lintcode

    Data Structure and Algorithm notes

    This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress.
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  • 3

    intzip

    Fast compression of integer sets.

    IntZip is a lossless compression algorithm for strictly increasing lists of unsigned integers. Compression means that a suitable list of integers can be encoded to a (whenever possible) shorter list of the same integer format. An arbitrary set of integers (i.e., a collection of unique numbers where the order does not matter) may be transformed into suitable input data by way of translation and sorting.
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  • 4

    Ginors Sort

    sorting algorithm for binary keys

    in-place sorting algorithm with O(n*log(k)) time komplexity. The data have to be the structure: struct { unsigned (char/short/int/long); [...] }
    Downloads: 0 This Week
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  • 5
    ExtraDix is a sorting algorithm based on Radixsort. It is faster than Quicksort, stable, realized in C and can sort by any basic data type. Testing was done with 1 million data records sorting char, short, int, long, float, double and strings.
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  • 6
    The goal: to provide implementations of as many algorithms (sorting, searching, ...) and data structures (lists, trees, ...) as possible, accompanied by discussion of big O run time and memory limits and references to sources of further study.
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  • 7
    Sorting algorithm performance testing using a generic test interface
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