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starkneny新蟲 (小有名氣)
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[求助]
各向異性材料傳輸矩陣法 已有1人參與
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| 有人有各向異性材料傳輸矩陣方法求光學(xué)特性的代碼嗎，感激不盡，可以有償！ |
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starkneny
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3樓2024-12-15 17:18:03
rlafite
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【答案】應(yīng)助回帖
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starkneny: 金幣+30, ★有幫助 2024-12-23 10:30:42
starkneny: 金幣+30, ★有幫助 2024-12-23 10:30:42
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https://github.com/gevero/py_matrix py-matrix useful for generating results included in publications, please consider citing the following paper: Pellegrini G. and Mattei G. (2014) High-Performance Magneto-Optic Surface Plasmon Resonance Sensor Design: An Optimization Approach. Plasmonics 1–6. doi:10.1007/s11468-014-9764-6 Installation Installing py_matrix should be fairly easy. First of all you need a python distribution on your system. The simplest thing to do if you are using Windows or OSX would be to install Anaconda, a beautiful, free, and easy to use python distribution: the relevant installations instructions are found here. If you are using Linux you probably already know how to install python on your system, nevertheless my advice is to also install The IPython Notebook, which is already bundled in Anaconda. The second step would be installing py_matrix itself. If you are familiar with git and github you can simply clone the repository, otherwise just download the zipped version of the repo and unpack it wherever you like. Usage The best thing to do for the moment is to start from the .ipynb files in the examples folder. You can load them in your local IPython Notebook instance: they should give you a fair idea about how to proceed for your calculations. Each function in the code features a detailed documentation easily accessible with the Shift-Tab tool-tip shortcut from the IPython Notebook interface. |
2樓2024-12-13 00:29:04
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