Topological Sorting












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In some country, there are n flights among n cities. Each city has an exactly one outgoing flight but may have no incoming flight or multiple incoming flights. Design an algorithm to find the largest subset S of cities such that each city in S has at least one incoming flight from another city in S. (hint: recall the in-degree array we used in developing the topological sort algorithm in class)



I'm a little lost about how to approach this problem. The in-degree array algorithm is used to perform a Topological sort, but how does that relate to solving this problem?










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    $begingroup$


    In some country, there are n flights among n cities. Each city has an exactly one outgoing flight but may have no incoming flight or multiple incoming flights. Design an algorithm to find the largest subset S of cities such that each city in S has at least one incoming flight from another city in S. (hint: recall the in-degree array we used in developing the topological sort algorithm in class)



    I'm a little lost about how to approach this problem. The in-degree array algorithm is used to perform a Topological sort, but how does that relate to solving this problem?










    share|cite|improve this question









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      0





      $begingroup$


      In some country, there are n flights among n cities. Each city has an exactly one outgoing flight but may have no incoming flight or multiple incoming flights. Design an algorithm to find the largest subset S of cities such that each city in S has at least one incoming flight from another city in S. (hint: recall the in-degree array we used in developing the topological sort algorithm in class)



      I'm a little lost about how to approach this problem. The in-degree array algorithm is used to perform a Topological sort, but how does that relate to solving this problem?










      share|cite|improve this question









      $endgroup$




      In some country, there are n flights among n cities. Each city has an exactly one outgoing flight but may have no incoming flight or multiple incoming flights. Design an algorithm to find the largest subset S of cities such that each city in S has at least one incoming flight from another city in S. (hint: recall the in-degree array we used in developing the topological sort algorithm in class)



      I'm a little lost about how to approach this problem. The in-degree array algorithm is used to perform a Topological sort, but how does that relate to solving this problem?







      graph-theory algorithms sorting






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      asked Jan 31 at 6:51









      Einstein the trollEinstein the troll

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          $begingroup$

          HINT: First, model this as a digraph $G$ in the obvious way.



          Next, remove all vertices of indegree 0 in $G$ and call the resulting graph $G_1$. Then remove all vertices $v$ of indegree 0 in $G_1$ and call the resulting graph $G_2$. Keep repeating until there are no vertices of indegree 0 to remove i.e., for general $i$ remove all vertices $v$ of indegree 0 in $G_i$ and call the resulting graph $G_{i+1}$, and stop doing this pruning when $G_{i+1}=G_i$.



          The remaining graph is a collection of vertex-disjoint directed cycles (i.e., every vertex has both indegree and outdegree of 1) and the vertex-set of this graph is precisely the set $S$ that you are seeking.






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            $begingroup$

            HINT: First, model this as a digraph $G$ in the obvious way.



            Next, remove all vertices of indegree 0 in $G$ and call the resulting graph $G_1$. Then remove all vertices $v$ of indegree 0 in $G_1$ and call the resulting graph $G_2$. Keep repeating until there are no vertices of indegree 0 to remove i.e., for general $i$ remove all vertices $v$ of indegree 0 in $G_i$ and call the resulting graph $G_{i+1}$, and stop doing this pruning when $G_{i+1}=G_i$.



            The remaining graph is a collection of vertex-disjoint directed cycles (i.e., every vertex has both indegree and outdegree of 1) and the vertex-set of this graph is precisely the set $S$ that you are seeking.






            share|cite|improve this answer











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              1












              $begingroup$

              HINT: First, model this as a digraph $G$ in the obvious way.



              Next, remove all vertices of indegree 0 in $G$ and call the resulting graph $G_1$. Then remove all vertices $v$ of indegree 0 in $G_1$ and call the resulting graph $G_2$. Keep repeating until there are no vertices of indegree 0 to remove i.e., for general $i$ remove all vertices $v$ of indegree 0 in $G_i$ and call the resulting graph $G_{i+1}$, and stop doing this pruning when $G_{i+1}=G_i$.



              The remaining graph is a collection of vertex-disjoint directed cycles (i.e., every vertex has both indegree and outdegree of 1) and the vertex-set of this graph is precisely the set $S$ that you are seeking.






              share|cite|improve this answer











              $endgroup$
















                1












                1








                1





                $begingroup$

                HINT: First, model this as a digraph $G$ in the obvious way.



                Next, remove all vertices of indegree 0 in $G$ and call the resulting graph $G_1$. Then remove all vertices $v$ of indegree 0 in $G_1$ and call the resulting graph $G_2$. Keep repeating until there are no vertices of indegree 0 to remove i.e., for general $i$ remove all vertices $v$ of indegree 0 in $G_i$ and call the resulting graph $G_{i+1}$, and stop doing this pruning when $G_{i+1}=G_i$.



                The remaining graph is a collection of vertex-disjoint directed cycles (i.e., every vertex has both indegree and outdegree of 1) and the vertex-set of this graph is precisely the set $S$ that you are seeking.






                share|cite|improve this answer











                $endgroup$



                HINT: First, model this as a digraph $G$ in the obvious way.



                Next, remove all vertices of indegree 0 in $G$ and call the resulting graph $G_1$. Then remove all vertices $v$ of indegree 0 in $G_1$ and call the resulting graph $G_2$. Keep repeating until there are no vertices of indegree 0 to remove i.e., for general $i$ remove all vertices $v$ of indegree 0 in $G_i$ and call the resulting graph $G_{i+1}$, and stop doing this pruning when $G_{i+1}=G_i$.



                The remaining graph is a collection of vertex-disjoint directed cycles (i.e., every vertex has both indegree and outdegree of 1) and the vertex-set of this graph is precisely the set $S$ that you are seeking.







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited Jan 31 at 20:55

























                answered Jan 31 at 18:40









                MikeMike

                4,611512




                4,611512






























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