Uncertainty_Prop

Returns the output of a function and its related uncertainty as a result of the uncertainty associated with the input variables/arguments

Compute the output of a function and its related uncertainty by entering:

• fun: function (with inputs/arguments as variables with uncertainty/errors. Please see documentation for more).
• x : n by m array of input (each variable data is represented by a column vector )
• x_err: 1 by m array of associated error for each variable (row vector)

[y,y_err] = Uncertainty_Prop(fun,x,x_err)

or you can manually input:

• step size for numerical differentiation(If this is not given the default value is 1e-6).

[y,y_err] = Uncertainty_Prop(fun,x,x_err,stepsize)

Output is:

• y : n by k array of computed variables
• y_err : n by k array of computed (+-) errors/uncertainty corresponding to each computed variable.