write a code to optimize input parameters for data set in matlab

main.m
function [opt_params, min_func_val] = optimize_params(data, initial_guess)
% data: the data set
% initial_guess: the initial guess for the optimization algorithm
% opt_params: the optimized parameters
% min_func_val: the minimum function value

% define the objective function
fun = @(params) my_objective_function(params, data);

% set the optimization options
options = optimoptions('fmincon', 'Display', 'iter', 'Algorithm', 'sqp');

% set the constraints (if any)
lb = [0, 0];  % lower bounds
ub = [Inf, Inf];  % upper bounds

% run the optimization algorithm
[opt_params, min_func_val] = fmincon(fun, initial_guess, [], [], [], [], lb, ub, [], options);

function fval = my_objective_function(params, data)
% this is the objective function to optimize
% params: the input parameters to be optimized
% data: the data set

% use the input parameters to calculate the function value
model_output = my_model(params, data);

% calculate the mean squared error between the model output and the data
fval = immse(model_output, data);

function model_output = my_model(params, data)
% this is the model that uses the input parameters
% params: the input parameters
% data: the data set

% use the input parameters to calculate the model output
% ...

% return the model output
% ...

1281 chars
42 lines