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vumat
Abaqus定义材料本构用户子程序-VUMAT(Abaqus defined material constitutive user the subroutine-VUMAT )
- 2012-10-25 16:24:19下载
- 积分：1
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84d614758d1d
fft 利用DSP Builder 在MATLAB下产生的模型(DSP Builder fft using the model generated in MATLAB)
- 2014-01-17 14:07:24下载
- 积分：1
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1.21b
分数阶滑模工具箱，可用于解决阶次比较低的时候(fractional order sliding mode )
- 2016-10-10 09:37:28下载
- 积分：1
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ntontrust5duowei08
解无约束优化问题的锥模型拟牛顿信赖域算法。不同与传统的二次模型方法。(A quasi-Newton algorithm based
on the simple dogleg method is developed.)
- 2009-03-16 14:58:02下载
- 积分：1
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modeling_anelastic
粘弹性介质中面波正演模拟，基于变网格函数伪谱法模拟，模拟精度高(The viscoelastic medium surface waves forward modeling, based on a function of the variable-grid pseudospectral method simulation, simulation accuracy)
- 2020-10-12 14:27:32下载
- 积分：1
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fortran_nr
用fortran写的牛拉潮流计算程序，实验中的结果，比较简单，仅供参考(fortran write with ox-drawn flow calculation procedure, the results of experiments, relatively simple, for information purposes only)
- 2006-12-23 23:15:37下载
- 积分：1
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Miescattering-of-matlab
计算一般的mie散射光强等参数的精确程序，得到muller矩阵的各个元素表达式(scattering of Mie)
- 2020-07-03 04:20:02下载
- 积分：1
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KFFT
计算离散傅里叶变换的一种快速算法，简称FFT。快速傅里叶变换是1965年由J.W.库利和T.W.图基提出的。采用这种算法能使计算机计算离散傅里叶变换所需要的乘法次数大为减少，特别是被变换的抽样点数N越多，FFT算法计算量的节省就越显著。(A computing discrete Fourier transform fast algorithm, referred to as FFT. Fast Fourier Transform in 1965 by the JW Cooley and TW Tuji Ti out. Using this algorithm enables a computer to calculate the number of multiplications needed for the discrete Fourier transform greatly reduced, especially sampling points N is transformed more and save FFT algorithm to calculate the amount of the more remarkable.)
- 2013-12-18 22:32:50下载
- 积分：1
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correlation
说明： 相关性矩阵源代码，用于计算已知数据的相关性系数(Relevance matrix source code, used to calculate the correlation coefficient of known data)
- 2019-10-10 17:14:38下载
- 积分：1
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clusterinquest
cluster in quest聚类算法是基于密度和网格的聚类算法。对于大型数据库的高维数据聚类集合。(cluster in quest clustering algorithm is based on the density of the grid and clustering algorithm. For large database of high-dimensional data clustering pool.)
- 2006-12-08 21:13:15下载
- 积分：1
