Group a function's input arguments into a matrix input argument

I'm generating two separate functions from symbolic expressions that share parameters so i can fit two datasets simultaneously.

However, each symbolic expression uses upwards of 6 input parameters plus the variable, and the function handle specifies them all individually. For the simultaneous fitting I need al those input variables (the parameters) to be grouped up into a matrix so I can generate a composite function that will fit both datasets simultaneously to the same parameters.

How do I group these input variables in the function @(A0,k1,k2,k3,k4,k5,tau)-... into a function @(par,tau)-....

where par = [A0,k1,k2,k3,k4,k5] ?

Answer 1

[Walter Roberson]

matlabFunction(EXPRESSION, 'vars', {[A0,k1,k2,k3,k4,k5], tau})

[Gabriele]

Thank you, this worked!

[Walter Roberson]

Earlier you said

par = [A0,k1,k2,k3,k4,k5]

which is a row vector, but now you are saying

par=[1;
    .9;
    .6;
    0.015;
    0.045;
    0.055];

which is a column vector.

You need to decide which it is; the 'Variables' mechanism cannot support arbitrary vectors.

If you want par to be a row vector then

SP1_fun = matlabFunction(SP1,'vars',{[A0,k1,k2,k3,k4,k5],tau});

If you want par to be a column vector then

SP1_fun = matlabFunction(SP1,'vars',{[A0;k1;k2;k3;k4;k5],tau});