Optimization problem with quadratic function

1 view (last 30 days)
Hello everyone,
I hope someone could help me. This is the problem:
I have 12 points which are experimental measures, represented by 3 independent variables (x,y,z) and the fourth one that represents the density and it depends from the others: w= f(x,y,z). I need to:
-plot the data,
-obtain the quadratic fit function w, i.e. the function that describes the density,
-represent the isosurfaces where w is constant.
- Finally I need to minimize this quadratic function with no constraints.
Starting from
x = rand(12, 1);
y = rand(12, 1);
z = rand(12, 1);
w = rand(12, 1);
I found the quadratic function but I'm not sure how to represent the values of f(x,y,z) like isosurfaces and how to minimize it.
Thanks a lot!
Laura

Accepted Answer

Matt J
Matt J on 10 Jun 2021
You can use isosurface() to plot and quadprog() to minimize.
  4 Comments
laura bagnale
laura bagnale on 11 Jun 2021
Thanks a lot for your help and support!!
That was helpful!
Kind Regards,
Laura
Matt J
Matt J on 11 Jun 2021
I'm glad, but please Accept-click the answer if the your question is now resolved.

Sign in to comment.

More Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!