# Optimization problem with quadratic function

2 views (last 30 days)
laura bagnale on 10 Jun 2021
Commented: Matt J on 11 Jun 2021
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

Matt J on 10 Jun 2021
You can use isosurface() to plot and quadprog() to minimize.
Matt J on 11 Jun 2021
I'm glad, but please Accept-click the answer if the your question is now resolved.

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