First you need to calculate the response of your model with a given set of parameters P.
Then you create a function f(P,c_exp,v_exp) that evaluates the error between your model and the experimental values: you can define it analogously at the least square method.
Finally you can use the Matlab function "fminsearch" to solve the minimization problem of f(P).