Source code and simulation results: Computing eigenfrequency sensitivities near exceptional points

Summary

This publication supplements the article "Computing eigenfrequency sensitivities near exceptional points" with tabulated data as well as matlab and python code that enables reproducing the results. The article presents a semi-analytical solution for a simple system that is used to validate a numerical framework.

Structure

The scripts refer to the figures in the paper as indicated by their names. They reproduce the figures based on data in corresponding files. If the files with numerical results are removed, the matlab scripts reproduce them. With the python script the semi-analytical results can be generated. 

Requirements

JCMsuite (we used version 6.0.10)

MATLAB (tested with version R2019b)

In order to run the simulations with JCMsuite you must replace corresponding place holders with a path to your installation of JCMsuite. Free trial licenses are available, please refer to the homepage of JCMwave.

## 数据集概述
本数据集为论文《例外点（exceptional point）附近本征频率（eigenfrequency）灵敏度的计算（Computing eigenfrequency sensitivities near exceptional points）》补充了表格化数据，以及可复现该论文研究结果的MATLAB与Python代码。该论文针对某一简单系统提出了半解析解，用于验证数值计算框架。

## 脚本说明
本数据集附带的脚本命名与论文中的图表一一对应，可基于对应文件中的数据复现这些图表。若删除存储数值结果的文件，MATLAB脚本可重新生成该类结果；Python脚本则可直接生成半解析计算结果。

## 运行要求
1. JCMsuite（本次开发测试使用版本6.0.10）
2. MATLAB（经R2019b版本验证可用）

若需使用JCMsuite运行仿真实验，需将脚本内的对应占位符替换为本地JCMsuite的安装路径。可申请JCMwave官方免费试用许可证，详情请参阅JCMwave官方主页。