Finding the optimal bijective map between two sets of natural numbersA variant of assignment problem (different sizes of sets)Facets of the convex hull as solution of an optimization problem?Optimal paths between two closed linesHow to find the optimal mapping between two sets?Proof of Optimality for Approximation of Probability Spaces by PCASelect matrices to maximize their productOptimal Rotation between two sets of pointsOptimizing a stability function that has no closed formNumber of injective, surjective, bijective functions.Bipartite allocation with minimum cost

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Finding the optimal bijective map between two sets of natural numbers


A variant of assignment problem (different sizes of sets)Facets of the convex hull as solution of an optimization problem?Optimal paths between two closed linesHow to find the optimal mapping between two sets?Proof of Optimality for Approximation of Probability Spaces by PCASelect matrices to maximize their productOptimal Rotation between two sets of pointsOptimizing a stability function that has no closed formNumber of injective, surjective, bijective functions.Bipartite allocation with minimum cost













0












$begingroup$


I have two sets $A$ and $B$, each containing $N$ high-dimensional vectors.
I have an $Ntimes N$ matrix, $M$, where $M_i,j=textDist||A_i,B_j||$.



I am trying to find a bijective map $Arightarrow B$ that minimises the average distance between paired elements.



The surjective case is obviously trivial; just map $A_i$ to $B_j$ where $j=textargmax(M_i,j)$. However I want a 1-to-1 mapping.



$N$ is not very large (~5), but I have many such pairs and need to find an algorithm in order to automate the process.



Any help appreciated!










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    I have two sets $A$ and $B$, each containing $N$ high-dimensional vectors.
    I have an $Ntimes N$ matrix, $M$, where $M_i,j=textDist||A_i,B_j||$.



    I am trying to find a bijective map $Arightarrow B$ that minimises the average distance between paired elements.



    The surjective case is obviously trivial; just map $A_i$ to $B_j$ where $j=textargmax(M_i,j)$. However I want a 1-to-1 mapping.



    $N$ is not very large (~5), but I have many such pairs and need to find an algorithm in order to automate the process.



    Any help appreciated!










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      I have two sets $A$ and $B$, each containing $N$ high-dimensional vectors.
      I have an $Ntimes N$ matrix, $M$, where $M_i,j=textDist||A_i,B_j||$.



      I am trying to find a bijective map $Arightarrow B$ that minimises the average distance between paired elements.



      The surjective case is obviously trivial; just map $A_i$ to $B_j$ where $j=textargmax(M_i,j)$. However I want a 1-to-1 mapping.



      $N$ is not very large (~5), but I have many such pairs and need to find an algorithm in order to automate the process.



      Any help appreciated!










      share|cite|improve this question









      $endgroup$




      I have two sets $A$ and $B$, each containing $N$ high-dimensional vectors.
      I have an $Ntimes N$ matrix, $M$, where $M_i,j=textDist||A_i,B_j||$.



      I am trying to find a bijective map $Arightarrow B$ that minimises the average distance between paired elements.



      The surjective case is obviously trivial; just map $A_i$ to $B_j$ where $j=textargmax(M_i,j)$. However I want a 1-to-1 mapping.



      $N$ is not very large (~5), but I have many such pairs and need to find an algorithm in order to automate the process.



      Any help appreciated!







      combinatorics matrices optimization






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Mar 22 at 16:13









      JoshDJoshD

      136




      136




















          1 Answer
          1






          active

          oldest

          votes


















          1












          $begingroup$

          This is called an Assignment problem. You can formulate you problem as the following integer program:



          $$
          min sum_i=1^Nsum_j=1^N x_ij M_ij \
          s.t. sum_i=1^Nx_ij = 1 ;forall j in N \
          sum_j=1^Nx_ij = 1 ; forall i in N \
          0 leq x_ij leq 1 ;forall iin N,j in N \
          x_ij in mathbbZ ;forall iin N,j in N
          $$



          This problem can be solved by solving the linear relaxation of the above IP (drop the integer constraint) with e.g. the Simplex Method.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            Thank you this was the information I needed. Knowing the correct terminology for my problem allowed me to find a handy one-line implementation of the simplex method, and has solved my problem.
            $endgroup$
            – JoshD
            Mar 22 at 17:20











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1












          $begingroup$

          This is called an Assignment problem. You can formulate you problem as the following integer program:



          $$
          min sum_i=1^Nsum_j=1^N x_ij M_ij \
          s.t. sum_i=1^Nx_ij = 1 ;forall j in N \
          sum_j=1^Nx_ij = 1 ; forall i in N \
          0 leq x_ij leq 1 ;forall iin N,j in N \
          x_ij in mathbbZ ;forall iin N,j in N
          $$



          This problem can be solved by solving the linear relaxation of the above IP (drop the integer constraint) with e.g. the Simplex Method.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            Thank you this was the information I needed. Knowing the correct terminology for my problem allowed me to find a handy one-line implementation of the simplex method, and has solved my problem.
            $endgroup$
            – JoshD
            Mar 22 at 17:20















          1












          $begingroup$

          This is called an Assignment problem. You can formulate you problem as the following integer program:



          $$
          min sum_i=1^Nsum_j=1^N x_ij M_ij \
          s.t. sum_i=1^Nx_ij = 1 ;forall j in N \
          sum_j=1^Nx_ij = 1 ; forall i in N \
          0 leq x_ij leq 1 ;forall iin N,j in N \
          x_ij in mathbbZ ;forall iin N,j in N
          $$



          This problem can be solved by solving the linear relaxation of the above IP (drop the integer constraint) with e.g. the Simplex Method.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            Thank you this was the information I needed. Knowing the correct terminology for my problem allowed me to find a handy one-line implementation of the simplex method, and has solved my problem.
            $endgroup$
            – JoshD
            Mar 22 at 17:20













          1












          1








          1





          $begingroup$

          This is called an Assignment problem. You can formulate you problem as the following integer program:



          $$
          min sum_i=1^Nsum_j=1^N x_ij M_ij \
          s.t. sum_i=1^Nx_ij = 1 ;forall j in N \
          sum_j=1^Nx_ij = 1 ; forall i in N \
          0 leq x_ij leq 1 ;forall iin N,j in N \
          x_ij in mathbbZ ;forall iin N,j in N
          $$



          This problem can be solved by solving the linear relaxation of the above IP (drop the integer constraint) with e.g. the Simplex Method.






          share|cite|improve this answer











          $endgroup$



          This is called an Assignment problem. You can formulate you problem as the following integer program:



          $$
          min sum_i=1^Nsum_j=1^N x_ij M_ij \
          s.t. sum_i=1^Nx_ij = 1 ;forall j in N \
          sum_j=1^Nx_ij = 1 ; forall i in N \
          0 leq x_ij leq 1 ;forall iin N,j in N \
          x_ij in mathbbZ ;forall iin N,j in N
          $$



          This problem can be solved by solving the linear relaxation of the above IP (drop the integer constraint) with e.g. the Simplex Method.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Mar 22 at 17:10

























          answered Mar 22 at 17:00









          wiluqawiluqa

          365




          365











          • $begingroup$
            Thank you this was the information I needed. Knowing the correct terminology for my problem allowed me to find a handy one-line implementation of the simplex method, and has solved my problem.
            $endgroup$
            – JoshD
            Mar 22 at 17:20
















          • $begingroup$
            Thank you this was the information I needed. Knowing the correct terminology for my problem allowed me to find a handy one-line implementation of the simplex method, and has solved my problem.
            $endgroup$
            – JoshD
            Mar 22 at 17:20















          $begingroup$
          Thank you this was the information I needed. Knowing the correct terminology for my problem allowed me to find a handy one-line implementation of the simplex method, and has solved my problem.
          $endgroup$
          – JoshD
          Mar 22 at 17:20




          $begingroup$
          Thank you this was the information I needed. Knowing the correct terminology for my problem allowed me to find a handy one-line implementation of the simplex method, and has solved my problem.
          $endgroup$
          – JoshD
          Mar 22 at 17:20

















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