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求取lyapunov指数的小数据量方法
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求取lyapunov指数的小数据量方法，采用混合编程
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In order to seek Lyapunov exponent using a small amount of data, a mixed programming approach can be implemented. This approach involves combining the use of multiple programming languages, such as Python and C++, to create a more robust and efficient algorithm for computing the Lyapunov exponent. Additionally, various methods for data analysis, such as wavelet analysis and Fourier transform, can be utilized to extract more information from the available data. By implementing these techniques, we can obtain more accurate and reliable results in the computation of the Lyapunov exponent, even with limited data.
