How to use an output from on file as input in another file.
9 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
The given file "enzymeGeneral.m" generates a vector. " test-modified.m" generates a Jacobian.
How can I use these answers and sum them up as follows:
sums up all the vector entries into one scale. Using the output vector of enzymeLesstSquares.m
and
sums up all the jacobian entries acting on each respective vector entry from menzymeLesstSquares.m (usinng the output Jacobian of test-modified.m)
Here I try with
function [r,g] = enzymeGeneral(k)
[r]=enzymeLeastSquares(result,grad_all);
[g]=test_modified(result,grad_all);
S=sum(r,8)
V=sum(g,8)
Where "result" is supposed to call for the answer from the respective m. file.
But this doesn't work, since S and V do not call on the answers from enzymeLeastSquares.m and test_modified.m in order to sum them as given in S and V:
How can I use the answers from enzymeLeastSquares.m and test_modified.m as inputs for S and V in summation?
Thanks
2 commentaires
Alexander
le 29 Mar 2024
"enzymeGeneral.m" doesn't creat a vector but an error:
>> enzymeGeneral
Unrecognized function or variable 'result'.
Error in enzymeGeneral (line 2)
[r,g]=enzymeLeastSquares(result,grad_all);
Hence, you should rework your scripts.
Réponses (1)
Alexander
le 30 Mar 2024
Modifié(e) : Alexander
le 30 Mar 2024
Do you mean something like this:
function [S,V]=enzymeLeastSquares(r,g);
S=sum(r,8)
V=sum(g,8)
and the calling function might look like this:
function [S,V] = enzymeLeastSquares(k)
N = 4; % number of experiments
result = zeros(2*N,1); % pre-allocate result arrays
grad_all = zeros(2*N,2);
dt=0.01;
T=1;
%k=[5;1];
y0_all = [2 1 1 4; 1 1 0 1];
y1_all = [1.0 0.5 0.3 2.4; 2.1 1.6 0.9 2.7];
for ii = 1:N
y0 = y0_all(:,ii);
y1 = y1_all(:,ii);
[SP,grad]=enzyme(y0,k,dt,T);
result((ii-1)*2+[1 2]) = y1-SP;
grad_all((ii-1)*2+[1 2],:) = -grad;
end
[S,V] = enzymeGeneral(grad_all, result)
But I haven't tested this jet. It shows only how to pass prameters onto a function and get results back.
4 commentaires
Alexander
le 31 Mar 2024
Maybe this:
function [result,grad_all] = enzymeLeastSquares(k)
N = 4; % number of experiments
result = zeros(2*N,1); % pre-allocate result arrays
grad_all = zeros(2*N,2);
dt=0.01;
T=1;
%k=[5;1];
y0_all = [2 1 1 4; 1 1 0 1];
y1_all = [1.0 0.5 0.3 2.4; 2.1 1.6 0.9 2.7];
for ii = 1:N
y0 = y0_all(:,ii);
y1 = y1_all(:,ii);
[SP,grad]=enzyme(y0,k,dt,T);
result((ii-1)*2+[1 2]) = y1-SP;
grad_all((ii-1)*2+[1 2],:) = -grad;
end
result = sum(result);
Voir également
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!