Select certain number of column elements of a stochastic matrix, maximum one element per rowCount number of ways to place ones in an $M times M$ matrix so that every row and column has $k$ ones?Find the smallest summed distances by uniquely pairing elements of one set to elements of another setMaximize ratio of sumsFind a maximum sum in matrix, subject to special constraintSelect a subset of the columns in $2times n$ matrix, is it easy?Select a set of elements from a 2D matrix, such that each element comes from distinct row and columnIs this problem about picking optimal entries of a matrix NP-complete?Maximizing the sum of selected elements in a matrixIs my interpretation correct?Select K columns from matrix and one element from each row that has maximum sum

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Select certain number of column elements of a stochastic matrix, maximum one element per row


Count number of ways to place ones in an $M times M$ matrix so that every row and column has $k$ ones?Find the smallest summed distances by uniquely pairing elements of one set to elements of another setMaximize ratio of sumsFind a maximum sum in matrix, subject to special constraintSelect a subset of the columns in $2times n$ matrix, is it easy?Select a set of elements from a 2D matrix, such that each element comes from distinct row and columnIs this problem about picking optimal entries of a matrix NP-complete?Maximizing the sum of selected elements in a matrixIs my interpretation correct?Select K columns from matrix and one element from each row that has maximum sum






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty
margin-bottom:0;









2












$begingroup$


Consider a $m times n$ Matrix.

Every column represents a class and every row an observation. Every row/observation is a probability distribution, hence every row sums up to 1.
We now want to choose elements $a_i,j$ of the Matrix.

For every column $k_j$ elements have to be chosen, but we can choose just one element per row. The sum of the chosen elements have to be maximized.



I guess this problem is NP-hard. I didn't found an efficient solution.
To prove that, I want to find a reduction from a NP-hard problem to my problem.



Hopefully someone has an idea for a reduction (or an efficient algorithm).










share|cite|improve this question









New contributor



daniel.golf is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$




















    2












    $begingroup$


    Consider a $m times n$ Matrix.

    Every column represents a class and every row an observation. Every row/observation is a probability distribution, hence every row sums up to 1.
    We now want to choose elements $a_i,j$ of the Matrix.

    For every column $k_j$ elements have to be chosen, but we can choose just one element per row. The sum of the chosen elements have to be maximized.



    I guess this problem is NP-hard. I didn't found an efficient solution.
    To prove that, I want to find a reduction from a NP-hard problem to my problem.



    Hopefully someone has an idea for a reduction (or an efficient algorithm).










    share|cite|improve this question









    New contributor



    daniel.golf is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.






    $endgroup$
















      2












      2








      2





      $begingroup$


      Consider a $m times n$ Matrix.

      Every column represents a class and every row an observation. Every row/observation is a probability distribution, hence every row sums up to 1.
      We now want to choose elements $a_i,j$ of the Matrix.

      For every column $k_j$ elements have to be chosen, but we can choose just one element per row. The sum of the chosen elements have to be maximized.



      I guess this problem is NP-hard. I didn't found an efficient solution.
      To prove that, I want to find a reduction from a NP-hard problem to my problem.



      Hopefully someone has an idea for a reduction (or an efficient algorithm).










      share|cite|improve this question









      New contributor



      daniel.golf is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      $endgroup$




      Consider a $m times n$ Matrix.

      Every column represents a class and every row an observation. Every row/observation is a probability distribution, hence every row sums up to 1.
      We now want to choose elements $a_i,j$ of the Matrix.

      For every column $k_j$ elements have to be chosen, but we can choose just one element per row. The sum of the chosen elements have to be maximized.



      I guess this problem is NP-hard. I didn't found an efficient solution.
      To prove that, I want to find a reduction from a NP-hard problem to my problem.



      Hopefully someone has an idea for a reduction (or an efficient algorithm).







      algorithms optimization






      share|cite|improve this question









      New contributor



      daniel.golf is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share|cite|improve this question









      New contributor



      daniel.golf is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.








      share|cite|improve this question




      share|cite|improve this question








      edited 2 hours ago









      Evil

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      asked 8 hours ago









      daniel.golfdaniel.golf

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      Check out our Code of Conduct.

























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          $begingroup$

          Duplicate the $j$th column $k_j$ times to reduce to the case in which $k_j = 1$. You are now looking at the assignment problem, which can be solved efficiently.






          share|cite|improve this answer









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            $begingroup$

            Duplicate the $j$th column $k_j$ times to reduce to the case in which $k_j = 1$. You are now looking at the assignment problem, which can be solved efficiently.






            share|cite|improve this answer









            $endgroup$



















              2














              $begingroup$

              Duplicate the $j$th column $k_j$ times to reduce to the case in which $k_j = 1$. You are now looking at the assignment problem, which can be solved efficiently.






              share|cite|improve this answer









              $endgroup$

















                2














                2










                2







                $begingroup$

                Duplicate the $j$th column $k_j$ times to reduce to the case in which $k_j = 1$. You are now looking at the assignment problem, which can be solved efficiently.






                share|cite|improve this answer









                $endgroup$



                Duplicate the $j$th column $k_j$ times to reduce to the case in which $k_j = 1$. You are now looking at the assignment problem, which can be solved efficiently.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered 1 hour ago









                Yuval FilmusYuval Filmus

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