论文标题
EMGR-经验Gramian Framework版本5.99
emgr -- EMpirical GRamian Framework Version 5.99
论文作者
论文摘要
Gramian经验框架的5.99版 - “ EMGR” - 完成了一个开发周期，该循环集中在降低加油网络模型的参数模型订单上，同时保留了与上一个开发的兼容性，用于应用神经科学网络模型的合并状态和参数降低。其次，还添加了有关Gramian类型，扰动设计和轨迹后处理的新功能，以及除默认MATLAB / OCTAVE实现外的Python版本。这项工作总结了这些更改，特别是自“ EMGR” 5.4版，请参见Himpe，2018年[算法11（7）：91]，并根据当前功能集提供了最新的和未来的应用，例如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. Secondarily, 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.
