PySINDy：一个用于从数据中稀疏识别非线性动力学的Python包
PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data
摘要：
PySINDy是一个Python包，用于从数据中发现控制动力系统模型。特别是，PySINDy提供了将非线性动力学稀疏识别（SINDy）（Brunton et al. 2016）方法应用于模型发现的工具。在这项工作中，我们提供了一个简单的描述的数学基础的SINDy，概述和演示的功能实现的PySINDy（与代码示例），实用的建议，为用户，并列出了潜在的扩展PySINDy。软件可在https://github.com/dynamicslab/pysindy上获得。
英文摘要：
PySINDy is a Python package for the discovery of governing dynamical systems models from data. In particular, PySINDy provides tools for applying the sparse identification of nonlinear dynamics (SINDy) (Brunton et al. 2016) approach to model discovery. In this work we provide a brief description of the mathematical underpinnings of SINDy, an overview and demonstration of the features implemented in PySINDy (with code examples), practical advice for users, and a list of potential extensions to PySINDy. Software is available at https://github.com/dynamicslab/pysindy.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
