Assuming that you are looking to create the following 2D table 
from the 6D table 
by fixing the first 4 dimensions 
you can use the "interpn" or the "griddedInterpolant" functions for your use case.
from the 6D table by fixing the first 4 dimensions you can use the "interpn" or the "griddedInterpolant" functions for your use case. Example: Using the "interpn" function
% Define fixed values for the known dimensions
x1_val = 0.2;
x2_val = 0.5;
x3_val = 0.1;
x4_val = 1.0;
% Create a meshgrid for the 2D unknowns. Must match 5th and 6th grid
[X5q, X6q] = meshgrid(X5, X6);
% Interpolate over the 6D table
G = interpn(X1, X2, X3, X4, X5, X6, F, x1_val, x2_val, x3_val, x4_val, X5q, X6q);
Here G is a 2D matrix of the same size as 
, which represents the aerodynamic data over the two unknowns 
, holding the rest fixed.
, which represents the aerodynamic data over the two unknowns , holding the rest fixed.For repeated queries with different fixed values, the "griddedInterpolant" function is more efficient:
F_interp = griddedInterpolant({X1,X2,X3,X4,X5,X6}, F);
G = arrayfun(@(x5,x6) F_interp(x1_val,x2_val,x3_val,x4_val,x5,x6), X5q, X6q);
For more information regarding the "interpn" and the "griddedInterpolant" function, refer to the following documentation:
