Nomenclature
c
Neurons centers
C
Species concentration
C m
Optimal concentration
d
Input dimension
D
Diffusion coefficient
f
Objective function
g
Regressors in Kriging model
k
Number of clusters
K
Number of neurons centers
L
Characteristic length scale
M
Mixing index
n
Number of points on cross-sectional plane
N
Sample size
p
Dimensional pressure
Pe
Peclet number
R
Correlation function
R
2
adj
Goodness of fit
Re
Reynolds number
Sc
Schmidt number
t
Dimensional time
U
Characteristic velocity scale
U i
Components of velocity vector (i = 1, 2 and 3)
V
Fluid velocity
V p
Particle velocity
x i
Dimensional co-ordinates (i = 1, 2 and 3)
x p
Particle position
X
Design matrix
X
y
Pseudo-inverse of X
ix
c
Neurons centers
C
Species concentration
C m
Optimal concentration
d
Input dimension
D
Diffusion coefficient
f
Objective function
g
Regressors in Kriging model
k
Number of clusters
K
Number of neurons centers
L
Characteristic length scale
M
Mixing index
n
Number of points on cross-sectional plane
N
Sample size
p
Dimensional pressure
Pe
Peclet number
R
Correlation function
R
2
adj
Goodness of fit
Re
Reynolds number
Sc
Schmidt number
t
Dimensional time
U
Characteristic velocity scale
U i
Components of velocity vector (i = 1, 2 and 3)
V
Fluid velocity
V p
Particle velocity
x i
Dimensional co-ordinates (i = 1, 2 and 3)
x p
Particle position
X
Design matrix
X
y
Pseudo-inverse of X
ix