emgr – EMpirical GRamian Framework Version 5.99
emgr – EMpirical GRamian Framework Version 5.99
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DOI：
10.1145/3609860
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发表时间：
2022-09
影响因子：
2.7
通讯作者：
Christian Himpe
中科院分区：
文献类型：
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作者：
Christian Himpe
经验Gramian框架的5.99版本- emgr -完成了一个开发周期，该开发周期专注于气体网络模型的参数模型降阶，同时保留与先前开发的兼容性，用于神经科学网络模型的组合状态和参数降阶应用。其次，增加了有关经验Gramian类型，扰动设计和轨迹后处理的新功能，以及除了默认MATLAB / Octave实现之外的Python版本。这项工作总结了这些变化，特别是自emgr版本5.4以来，参见Himpe，2018 [Algorithms 11（7）：91]，并给出了最近和未来的应用，例如基于当前特征集的系统生物学中的参数识别。
Version 5.99 of the empirical Gramian framework – emgr – completes a development cycle which focused on parametric model order reduction of gas network models while preserving compatibility to the previous development for the application of combined state and parameter reduction for neuroscience network models. Second, new features concerning empirical Gramian types, perturbation design, and trajectory post-processing, as well as a Python version in addition to the default MATLAB / Octave implementation, have been added. This work summarizes these changes, particularly since emgr version 5.4, see Himpe, 2018 [Algorithms 11(7): 91], and gives recent as well as future applications, such as parameter identification in systems biology, based on the current feature set.