Showing 4 open source projects for "cloud computing in the matlab"

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  • Incredable is the first DLT-secured platform that allows you to save time, eliminate errors, and ensure your organization is compliant all in one place. Icon
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  • 1

    Optimizer_sovkov

    Constructing and optimizing general mathematical and physical models

    We present the package Optimizer, aimed at constructing and optimizing general mathematical models of phenomena of versatile nature. It is written in the Matlab algorithmic language and is executed in the Matlab environment with partial functionality in Octave. The convenient visual interface and the detailed manuals are provided. The main benefit of the package is its capability to construct models of any level of complexity in a block-by-block manner. Elementary model blocks can be collected in libraries, and we have already written many such library programs. ...
    Downloads: 6 This Week
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  • 2
    SINVAS

    SINVAS

    Software Engineering Full Life Cycle Support Tool

    ...SINVAS Product Introduction 1) SINVAS REQ - Requirement Management : https://sourceforge.net/projects/sinvas-req/ 2) SINVAS UML - MDD-based analysis/design : https://sourceforge.net/projects/sinvas-uml/ 3) SINVAS DEV - Modeling-based development : https://sourceforge.net/projects/sinvas-dev/ 4) SINVAS TEST - Testing and Validation of software : https://sourceforge.net/projects/sinvas-test/ * SINVAS CRY - Cloud computing based online modeling tool : http://cry.sinvas.com/ Thank you for your continuous interest and encouragement.
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    Downloads: 0 This Week
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  • 3
    PopED (Population Experimental Design) is a software tool for computing optimal experimental designs. The software has been developed with an emphasis on drug trials based on population models (non-linear mixed effects models).
    Downloads: 0 This Week
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  • 4

    UPPAAL PARMOS

    A tool for parametric model checking of UPPAAL models.

    UPPAAL PARMOS (UP) is a parameter sweep application built specifically for UPPAAL, with the ability to distribute parameter sweeps across multiple computing resources, such as large clusters or cloud computing resources. UP also provides the ability to direct the parameter sweep using multi-objective heuristic search algorithms to reach optimal or near optimal parameters faster. UP is expandable through the use of plug-ins, with regards to both types of computing resources and search algorithms, and the ability to change storage type is partly implemented.
    Downloads: 0 This Week
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