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OpenMDAO is an open-source Multidisciplinary Design, Analysis, and Optimization (MDAO) framework, written in the Python programming language. The OpenMDAO framework is designed to aid in linking together separate pieces of software for the purpose of combined analyses. It allows users to combine analysis tools (or design codes) from multiple disciplines, at multiple levels of fidelity, and to manage the interaction between them. OpenMDAO is specifically designed to manage the dataflow (the actual data) and the workflow (what code is run when) in conjunction with optimization algorithms and other advanced solution techniques.〔J. S. Gray, K. T. Moore, and B. A. Naylor, “OPENMDAO: An Open Source Framework for Multidisciplinary Analysis and Optimization,” in 13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Fort Worth, TX, AIAA, AIAA-2010-9101, Fort Worth, Texas, 2010.〕 The development of OpenMDAO is led out of the NASA Glenn Research Center, with support from the NASA Langley Research Center. ==Features== * Library of built-in solvers and optimizers * Tools for meta-modeling * Data recording capabilities * Support for analytic derivatives * Support for high-performance compute clusters and distributed computing * Extensible plugin library 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「OpenMDAO」の詳細全文を読む スポンサード リンク
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