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That can be solved as an SOCP. You have to do the reformulation by hand as shown in the book by Ben-Tal and Nemerovski, or Boyd and Vandenberghe.You can also use a modeling framework like cvxpy, which makes it alot easier.
On Mon, Aug 14, 2017 at 5:34 PM, 'Mi Sch' via CVXOPT <cvx...@googlegroups.com> wrote:
Dear all,does anybody know if it is possible to solve a minimization problem with a cubic convex obective function and linear constraints in cvxopt?I checked the tutorials at the webpage, but I didn't find an example with a polynomial convex objective. Is it possible to transform it in another kind of problem (SOCP or semidefinite programming)?The obj looks like the picture that i attached, there only is one more linear constraint in my case.Thanks!Best,Michel
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