Showing 59 open source projects for "java implementation loader"

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  • 1
    jSGP is a Java implementation of the five SGP/SDP propagators described in NORAD's Spacetrack Report No. 3.
    Downloads: 0 This Week
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  • 2
    Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. NO tool is providing a global framework to develop algorithms. Silicis is a new formal framework for designing [verification] algorithms.
    Downloads: 0 This Week
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  • 3
    jpaul is a Java implementation of several algorithms widely used in program analysis. It emphasizes flexibility and ease-of-use and is independent of any specific compiler infrastructure project. BSD Licence.
    Downloads: 0 This Week
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  • 4
    distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
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  • 5
    A Java implementation of a cubic B-spline curve smoothing function. Allows an arbitary number of points with a variable number of dimensions to have a cubic B-spline curve "fitted". Useful in finance for analysing bond or swap yield and discount curves.
    Downloads: 0 This Week
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  • 6
    Genetic Algorithm implementation.
    Downloads: 0 This Week
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  • 7
    This project is java version of the SQL functions as defined by the Transact-SQL programming language for the MS SQL 2000. It is pure 100% Java implementation for the famous SQL Functions such as CONVERT, PATINDEX or DATEDIFF.
    Downloads: 0 This Week
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  • 8
    The Customizable Caching Framework provides a basic but robust implementation of a cache with expiry and memory management features. It also provides entry points to populate the cache, making it reusable in several applications.
    Downloads: 0 This Week
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  • 9
    This project aims at providing an implementation of some state-of-the-art techniques for summarizing multi-dimensional data. Multi-dimensional data summarization can effectively support query optimization algorithms and OLAP applications.
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