@@ -54,18 +54,21 @@ Instructions for Debian/Ubuntu based workstations are as follows.
*[generateRF.py](./generateRF/generateRF.py):
* The RF is defined from the mean and standard deviation of the variables as well as from their correlation following for example for a 2-dimension RF:
* meanX = np.array([0.5,10]) # mean of variables
* stdX = np.array([0.05,0.1]) # std of variables
* rho = 0.2
* R0_XY = np.array([[1, rho], [rho, 1]])
*```meanX = np.array([0.5,10])``` # mean of variables
*```stdX = np.array([0.05,0.1])``` # std of variables
* And from a the correlation lengths along the 3 direction
* lc = [15., 15., 15.] # correlation length
*```lc = [15., 15., 15.]``` # correlation length
* The number of RFs to be generated follows from
* Nsim =10
* The Random fields will be generated at the spatial points defined in terms of their coordinates.
* The script tries to read a file in ```mechDir+'/GPData'```, where ```mechDir``` is the working directory, describing the list of spatial points. One example of points coordinates can be found in [rnnRF/GPData/coordinate_P_ZZ_OnPhysical_11.csv](./rnnRF/GPData/coordinate_P_ZZ_OnPhysical_11.csv) stored following 3 coordinates, point number and point volume (for a FE simulation)
* The random field number ```X``` is saved in tge file ```mechDir+'/randomFields'/RandField_X.csv```, where ```mechDir``` is the working directory. The number of columns is the dimension of the random variable and the number of lines the number of spatial points. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_0.csv](./rrnnRF/randomFields/RandField_0.csv).
* The random field number ```X``` along with the spatial points coordinates is saved in file ```mechDir+'/randomFields'/RandField_And_GP_X.csv```, where ```mechDir``` is the working directory. The number of columns is the dimension of the random variable plus the 3 spatial coordinates and the number of lines the number of spatial points. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_And_GP_0.csv](./rrnnRF/randomFields/RandField_And_GP_0.csv).
* The random field number ```X``` is saved in tge file ```mechDir+'/randomFields/RandField_X.csv'```, where ```mechDir``` is the working directory. The number of columns is the dimension of the random variable and the number of lines the number of spatial points. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_0.csv](./rnnRF/randomFields/RandField_0.csv).
* The random field number ```X``` along with the spatial points coordinates is saved in file ```mechDir+'/randomFields/RandField_And_GP_X.csv'```, where ```mechDir``` is the working directory. The number of columns is the dimension of the random variable plus the 3 spatial coordinates and the number of lines the number of spatial points. One example of generated 2-dimension RF can be found in [rnnRF/randomFields/RandField_And_GP_0.csv](./rnnRF/randomFields/RandField_And_GP_0.csv).
* The variable ```recomputePDF=True``` forces the evaluation of the spectral density matrix, which will be saved in ```mechDir+'/randomFields/H_pdf.dat'```
* The variable ```recomputePDF=False``` reads the spectral density matrix already saved in ```mechDir+'/randomFields/H_pdf.dat'```
