Higher-order discrete adjoint ODE solver in C++ for dynamic optimization

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作者：
RWTH Aachen, Software and Tools for Computational Engineering, Aachen, Germany [1 ]
不详 [2 ]
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来源：
Procedia Comput. Sci. | / 1卷 / 256-265期
基金：
英国工程与自然科学研究理事会;
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Engineering Village;
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摘要：
Adjoints - Algorithmic differentiations - Batch fermentation process - Dynamic optimization - Dynamic parameter estimations - Engineering applications - Optimization algorithms - Ordinary differential equation (ODE)
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