Search Results for "computer-aided software engineering"

Showing 7 open source projects for "computer-aided software engineering"

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  • 1
    mXparser - Math Parser Java C# Library

    mXparser - Math Parser Java C# Library

    A flexible mathematical expressions parser for JAVA, Android, C# .NET

    mXparser is highly flexible parser of math expressions. Software provides easy to use API for JAVA, Android, C# .NET/MONO (CLS). Main functionalities: - basic operators, i.e.: +, -, *, ^, ! - Boolean logic operators i.e.: or, and, xor - binary relations i.e.: =, <, > - math functions (large library of 1-arg, 2-arg, 3-arg - - functions) i.e.: sin, cos, Stirling numbers, log, inverse functions - constants (large library), i.e.: pi, e, golden ratio - n-args functions i.e.: greatest...
    Downloads: 1 This Week
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  • 2
    RCOEM-M.Tech (CSE) Projects
    An Initiative to help the Engineering & Research Community
    Downloads: 0 This Week
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  • 3

    EBEs+jMetal

    Software tool for designing spatial bar structures

    EBEs+jMetal is a software tool that allows to design bar structures which can further be optimized with multi-objective metaheuristics according to different goals, such as minimizing the structure weight and minimizing the deformation.
    Downloads: 0 This Week
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  • 4
    SoftDash PC allows realtime control of the Connect2Car MFC controller unit installed in a vehicle. Softdash PC can communicate with the MFC hardware either via a serial connection or a Bluetooth Connection. This project allows for open ended expansion.
    Downloads: 0 This Week
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  • 5
    NGmp is a C# C++ Java Python VB.NET etc. etc. binding of GMP and MPFR multi-precision number libraries. With support of Microsoft .NET or Novell Mono runtime NGmp will run on mutliple platforms. It is faster than other libraries available on .NET or Mono
    Downloads: 1 This Week
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  • 6
    The Open Source Risk Engine (OSRE) is a natural hazards loss estimation software.
    Downloads: 1 This Week
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  • 7
    A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
    Downloads: 0 This Week
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