minimize frobenius norm subject to rank condition












1












$begingroup$


I'm trying to solve the following problem:
Let A be (a, b) matrix. Given l < min ( a, b) , solve:



begin{align}
min_{rank(X)= l} || A - X ||_{Fro}^2
end{align}

I'm novice in optimization and don't know how to take the rank constraint into account.
Thanks!










share|cite|improve this question











$endgroup$

















    1












    $begingroup$


    I'm trying to solve the following problem:
    Let A be (a, b) matrix. Given l < min ( a, b) , solve:



    begin{align}
    min_{rank(X)= l} || A - X ||_{Fro}^2
    end{align}

    I'm novice in optimization and don't know how to take the rank constraint into account.
    Thanks!










    share|cite|improve this question











    $endgroup$















      1












      1








      1





      $begingroup$


      I'm trying to solve the following problem:
      Let A be (a, b) matrix. Given l < min ( a, b) , solve:



      begin{align}
      min_{rank(X)= l} || A - X ||_{Fro}^2
      end{align}

      I'm novice in optimization and don't know how to take the rank constraint into account.
      Thanks!










      share|cite|improve this question











      $endgroup$




      I'm trying to solve the following problem:
      Let A be (a, b) matrix. Given l < min ( a, b) , solve:



      begin{align}
      min_{rank(X)= l} || A - X ||_{Fro}^2
      end{align}

      I'm novice in optimization and don't know how to take the rank constraint into account.
      Thanks!







      optimization convex-optimization






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      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Dec 6 '18 at 9:43







      Lu Yin

















      asked Dec 6 '18 at 9:28









      Lu YinLu Yin

      183




      183






















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          As a generic optimization problem, it is a very hard problem since rank constraints typically are intractable.



          However, this particular problem has an analytic solution in terms of the SVD
          https://en.wikipedia.org/wiki/Low-rank_approximation






          share|cite|improve this answer









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            1 Answer
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            active

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            $begingroup$

            As a generic optimization problem, it is a very hard problem since rank constraints typically are intractable.



            However, this particular problem has an analytic solution in terms of the SVD
            https://en.wikipedia.org/wiki/Low-rank_approximation






            share|cite|improve this answer









            $endgroup$


















              1












              $begingroup$

              As a generic optimization problem, it is a very hard problem since rank constraints typically are intractable.



              However, this particular problem has an analytic solution in terms of the SVD
              https://en.wikipedia.org/wiki/Low-rank_approximation






              share|cite|improve this answer









              $endgroup$
















                1












                1








                1





                $begingroup$

                As a generic optimization problem, it is a very hard problem since rank constraints typically are intractable.



                However, this particular problem has an analytic solution in terms of the SVD
                https://en.wikipedia.org/wiki/Low-rank_approximation






                share|cite|improve this answer









                $endgroup$



                As a generic optimization problem, it is a very hard problem since rank constraints typically are intractable.



                However, this particular problem has an analytic solution in terms of the SVD
                https://en.wikipedia.org/wiki/Low-rank_approximation







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Dec 6 '18 at 13:19









                Johan LöfbergJohan Löfberg

                5,2551811




                5,2551811






























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