搜索资源列表
mGstat_0.97
- 基于Matlab的地质统计学程序包，包含克里金方法，变差函数，高斯序贯模拟等-Geostatistical Matlab-based package, including Kriging, variogram, sequential Gaussian simulation
mGstat_0.97
- 基于Matlab的地质统计学程序包，包含克里金方法，变差函数，高斯序贯模拟等-Geostatistical Matlab-based package, including Kriging, variogram, sequential Gaussian simulation
huber
- huber方法计算矿体的三维变异函数，matlab语言，程序运用了迭代方法-huber calculated ore body three-dimensional variogram, matlab language, the program using the iterative method
variogram
- This is a code calculate variogram in Geostatistics. There are examples commended in the code
2D-variogram
- semivariogram structure function ,it is about 2D semivariogram.
Variogram_linear
- 克里金插值中使用线性方式拟合出的球状模型的变异函数系数-Kriging interpolation using a linear fitting spherical variogram model coefficients
variogramfit
- 变差函数、克里金插值源代码，里面有具体应用实例-Variogram, Kriging interpolation source code, there are examples of specific applications
myhist
- 协同克里格matlab实现,包括普通克里格,变差函数和交叉变差函数的实现,三维图显示机及其协同区域化- Cokriging matlab realize, including the realization of ordinary kriging, and cross variogram variogram, three-dimensional diagram shows the machine and its Coregionalization
mGstat
- 这是一套地质统计学软件，能够从实际数据中得到变差函数，克里金插值等，用于地质统计学反演等-This is a geostatistical software to get the actual data the variogram, kriging interpolation for geostatistical inversion
variogramfit
- matlab下的拟合程序，可用于非线性拟合，特别适合指数分布的时间序列资料的拟合-curve fitting， fit a theoretical variogram to an experimental variogram
(kriging)
- 克里金插值在地质反演中有着很重要的应用。构建不同的初始模型，不同的变程和变差函数反映不同的地质构型。-Kriging geological inversion has a very important application. Construction of different initial models, processes and different variants variogram reflect different geological configuration.
Desktop
- It s a variogram algorithm I have donne
variogramfit
- the code is useful for spatialtemporal variogram
matlab遗传算法程序_2017
- MATLB做的经典遗传算法程序，包括算法的选择、交叉、变异函数，以及一些简单的MABTLAB遗传算法例子！(Classical genetic algorithm MATLB program, including the selection of algorithms, crossover, variogram, and some simple examples of MABTLAB genetic algorithm!)