Group a function's input arguments into a matrix input argument
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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] ?
采纳的回答
Walter Roberson
2024-2-7
matlabFunction(EXPRESSION, 'vars', {[A0,k1,k2,k3,k4,k5], tau})
2 个评论
Gabriele
2024-2-7
Walter Roberson
2024-2-7
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});
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