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Eular法解分数阶微分方程-eular method of fractional differential equations
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BDF法解分数阶微分方程-BDF method of fractional differential equations
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Eular法解分数阶微分方程,分数阶导数定义系数通过fourier法计算-eular method of fractional differential equations, fractional derivative definition coefficient calculated by fourier
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BDF法解分数阶微分方程,分数阶导数定义系数通过fourier法计算-BDF method of fractional differential equations, fractional derivative definition coefficient calculated by fourier
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常用算法大合集；
包括插值、查找、常微分方程组求解、多项工与连分式函数计算、非线性方程与方程组求解、复数运算、汉字操作、基本图形操作、极值问题、矩阵特征值与特征向量的计算、矩阵运算、拟合与逼近、排序、数据处理与回归分析、数学变换与滤波、数值积分、随机数产生、特征函数、图形模式下读写屏幕象点、线性代数方程组求解等C语言算法-algorithms big Collection; Including interpolation, locate, ordinary differential equa
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常用算法大合集； 包括插值、查找、常微分方程组求解、多项工与连分式函数计算、非线性方程与方程组求解、复数运算、汉字操作、基本图形操作、极值问题、矩阵特
-Commonly used algorithm for large collection including interpolation, find, ordinary differential equation solving, a number of workers and even fractional function, the
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matlab程序模拟微分方程。各种流行的系统显示混沌运动特征。-This toolbox contains the functions which can be used to simulate some of the well-known fractional order chaotic systems, such as:
- Chen s system,
- Arneodo s system,
- Genesio-Tesi s system,
- Lorenz s syste
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利用预估矫正方法解分数阶常微分方程，该方法适用于线性和非线性分数阶常微分方程-using PECE method to solve fractional ordinary differential equation
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预估校*，关于解分数阶微分方程的算法程序，适合非线性方程-Solves an initial value problem for a non-linear differential
equation of fractional order (FDE). The code implements the
predictor-corrector PECE method of Adams-Bashforth-Moulton
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The generalized continuous wavelet transform associated
with the fractional Fourier transform-The main objective of this paper is to study the fractional Fourier transform (FrFT ) and the
generalized continuous wavelet transform and some of their
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验证可用，分数阶傅里叶变换计算方面,抑制载波型差分相位调制。- Verification is available, Fractional Fourier transform computing, Suppressed carrier type differential phase modulation.
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非归零型差分相位调制信号建模与仿真分析 ，采用加权网络中节点强度和权重都是幂率分布的模型，分数阶傅里叶变换计算方面。- NRZ type differential phase modulation signal modeling and simulation analysis, Using weighted model nodes in the network strength and weight are power law distribution, Fractional Fourier t
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