5 projects for "optimization excel" with 1 filter applied:

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  • 1
    xlswriter

    xlswriter

    PHP Extension for creating and reader XLSX files

    PHPExcel has been unable to work properly for memory reasons at 40,000 and 100000 points, but it can be resolved by modifying the ini configuration, but the time may take longer to complete the work. xlswriter is a PHP C Extension that can be used to write text, numbers, formulas and hyperlinks to multiple worksheets in an Excel 2007+ XLSX file.
    Downloads: 0 This Week
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  • 2

    GETL

    ETL engine based on Groovy

    P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with...
    Downloads: 127 This Week
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  • 3
    SCOREMATH

    SCOREMATH

    Excel function for multi-criteria selection problems

    SCOREMATH implements the simple-yet-ingenious weighted linear model for multi-criteria selection problems described in Ng, Wan Lung. "An efficient and simple model for multiple criteria supplier selection problem." European Journal of Operational Research 186, no. 3 (2008): 1059-1067. "There are many real situations where the decision makers are able to tell the criteria importance ranking (although they cannot tell the exact values of weights). The decision makers may not have enough...
    Downloads: 0 This Week
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  • 4
    Optex Analyzer is a software to analyze and compare algorithms to solve approximately optimization problems. It has a GUI that allows select a set of input files containing raw algorithm results. The analysis is shown with tables and charts.
    Downloads: 0 This Week
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  • 5
    MiniMax-M2.7

    MiniMax-M2.7

    Self-evolving AI model for agents, coding, and complex workflows

    MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30%...
    Downloads: 0 This Week
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