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There's something I don't understand about CVXPY's example on its MIQP use. It says that the algorithm returns a solution $x \in \mathbb{Z}^n$ but I thought in general the point of MIQP algorithms was …
asked Aug 31 '20 by FredNgu
3
votes
1answer
I have a semi-continuous optimization problem reformulated as a MIQP optimization problem. My objective has a quadratic form $x^{T}Qx$ and my $x_{i}$ are such as $x_{i} \in [m,M] \cup \{0\}$. Therefor …
asked Sep 2 '20 by FredNgu
2
votes
1answer
I have three variables $x_{1},x_{2},x_{3}$ and a function $f : D \rightarrow \mathbb{R}$ where $D$ is defined as such : $$D = (x_{1},x_{2},x_{3})$$ such that $$x_{1}+x_{2}+x_{3}=1$$ and $$x_{1}>x_{2} …
asked Jun 25 '20 by FredNgu
3
votes
1answer
The minimizing problem is the following : $$ \underset{w}{\operatorname{argmin}} \sum_{i=1}^{n}\left[w_{i}\times (\frac{Vw}{\sigma})_{i} - b_{i}\right]^{2}$$ with $V$ a $n\times n$ matrix (covariance …
asked Jun 19 '20 by FredNgu
3
votes
3answers
I have an error function $f : w \rightarrow f(w)$ that I want to minimize, $w$ being a vector of length 211. There are some constraints on $w$. I managed to compute the jacobian $J$ and even with it t …
asked Jul 1 '20 by FredNgu
1
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2answers
My objective function is $\frac{1}{2}w^{T}Vw - P^{T}w$ with $V$ a covariance matrix (hence semidefinite positive), $P$ a column vector and $w$ a vector of semi-continuous variables. Given that the obj …
asked Sep 9 '20 by FredNgu