メインコンテンツへスキップ

quadratic quotient programming

回答済み

コメント

2件のコメント

  • 正式なコメント
    Simranjit Kaur
    • Gurobi Staff
    This post is more than three years old. Some information may not be up to date. For current information, please check the Gurobi Documentation or Knowledge Base. If you need more help, please create a new post in the community forum, or try Gurobot, our chatbot interface offering instant, expert-level support.
  • Maliheh Aramon
    • Gurobi Staff

    Hi Xiaoyu, 

    No, Gurobi does not directly support solving an optimization problem with an objective function in the form \(\frac{x^\prime Q x}{x^\prime P x}\). Please check the article on What types of model can Gurobi solve? for the list of models that Gurobi solves.

    You can consider defining an auxiliary variable \(y\) and solve the following optimization problem (assuming minimization):

    \[\begin{align} \min~~ y & \notag \\ \mathrm{st:}~~  & x^\prime Q x - y (x^\prime P x) \leq 0 \notag \end{align}\]

    This is a nonconvex problem and the term \(y (x^\prime P x)\) includes multilinear terms that you need to model using a series of bilinear constraints. You can check the article on How do I model multilinear terms in Gurobi?

    Best regards,

    Maliheh

    0

投稿コメントは受け付けていません。