Here's an example of setting up a small program to call a Solve Block from a program.

Define a vector

Parameter to be estimated

Simulated data to be fit

Simulation for One Fit using a Solve Block

Set up your guess value

Set up your constraint starting with Given in a math region:

Constraint to find the p that minimizes the sum of the squares of the differences to find a best fit p value.

The fitting function follows the data very closely

Solution for Multiple Data Sets:

Random Data Set

Guess

To find the best p for a particular data set (called C in this example), make the Solve Block into a function of the data set.

Cycle through the columns of data using a for loop, Pass the i^th column of M to the F function to return the parameter p for that column. The results are stored in a vector, RES, which is returned by the program.

Solutions for each column of M