sink vertex in graph

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Here we encounter a 1. Determine whether a universal sink exists in a directed graph, Convert the undirected graph into directed graph such that there is no path of length greater than 1, Convert undirected connected graph to strongly connected directed graph, Find if there is a path between two vertices in a directed graph, Shortest path with exactly k edges in a directed and weighted graph, Assign directions to edges so that the directed graph remains acyclic, Detect Cycle in a directed graph using colors, All Topological Sorts of a Directed Acyclic Graph, Longest Path in a Directed Acyclic Graph | Set 2, Hierholzer's Algorithm for directed graph, Check if a given directed graph is strongly connected | Set 2 (Kosaraju using BFS), Number of shortest paths in an unweighted and directed graph, Find if there is a path between two vertices in a directed graph | Set 2, Check if a directed graph is connected or not, Find the number of paths of length K in a directed graph, Check if incoming edges in a vertex of directed graph is equal to vertex itself or not. So we will increment j until we reach the 1. Please use ide.geeksforgeeks.org, We now check row i and column i for the sink property. The amount of flow on an edge cannot exceed … When we reach 1, we increment i as long as Flow networks are fundamentally directed graphs, where edge has a flow capacity consisting of a source vertex and a sink vertex. Writing code in comment? IN: vertex_descriptor sink. look at A[0][1]. generate link and share the link here. True False May be Can't say. In this example, we observer that in row 1, every element is 0 except for the last column. We present a way of … In the context of series-parallel digraphs, the source and sink are called the terminals of the graph. Determine whether a universal sink exists in a directed graph, Detect cycle in the graph using degrees of nodes of graph, Maximize count of nodes disconnected from all other nodes in a Graph, Maximum number of edges that N-vertex graph can have such that graph is Triangle free | Mantel's Theorem, Calculate number of nodes between two vertices in an acyclic Graph by Disjoint Union method, Maximize number of nodes which are not part of any edge in a Graph, Calculate number of nodes between two vertices in an acyclic Graph by DFS method. Attention reader! The result is still a DAG but it looks much simpler because we can clearly see the flow of the edges and how the edges connect to the vertices. If it is a 0, it means that the vertex corresponding to index j cannot be a sink. In undirected graphs, the edges are symmetrical. See your article appearing on the GeeksforGeeks main page and help other Geeks. brightness_4 string grafalgo::Graph_ff::adjList2string By using our site, you This means the row corresponding to vertex v is all 0 in matrix A, and the column corresponding to vertex v in matrix A is all 1 except for A(v;v). This program eliminates non-sink vertices in O(n) complexity and checks for the sink property in O(n) complexity. For a vertex, the number of head ends adjacent to a vertex is called the indegree of the vertex and the number of tail ends adjacent to a vertex is its outdegree (called branching factor in trees). We keep increasing i and j in this fashion until either i or j exceeds the number of vertices. The key type of the map must be the graph's edge descriptor type. In a directed graph (sometimes abbreviated as digraph), the edges are directed: that is, they have a direction, proceeding from a source vertex to a sink (or destination) vertex. To eliminate vertices, we check whether a particular index (A[i][j]) in the adjacency matrix is a 1 or a 0. Given a graph that contains source nodes (no inlinks) and sink nodes (no outlinks), is there an efficient way to: Find and list the source nodes in the graph. If the index is a 1, it means the vertex corresponding to i cannot be a sink. The flow function must satisfy three contraints: f(u,v) = c(u,v) for all (u,v) in V x V (Capacity constraint) acknowledge that you have read and understood our, GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Check if a graph is strongly connected | Set 1 (Kosaraju using DFS), Tarjan’s Algorithm to find Strongly Connected Components, Articulation Points (or Cut Vertices) in a Graph, Eulerian path and circuit for undirected graph, Fleury’s Algorithm for printing Eulerian Path or Circuit, Hierholzer’s Algorithm for directed graph, Find if an array of strings can be chained to form a circle | Set 1, Find if an array of strings can be chained to form a circle | Set 2, Kruskal’s Minimum Spanning Tree Algorithm | Greedy Algo-2, Prim’s Minimum Spanning Tree (MST) | Greedy Algo-5, Prim’s MST for Adjacency List Representation | Greedy Algo-6, Dijkstra’s shortest path algorithm | Greedy Algo-7, Dijkstra’s Algorithm for Adjacency List Representation | Greedy Algo-8, Dijkstra’s shortest path algorithm using set in STL, Dijkstra’s Shortest Path Algorithm using priority_queue of STL, Dijkstra’s shortest path algorithm in Java using PriorityQueue, Java Program for Dijkstra’s shortest path algorithm | Greedy Algo-7, Java Program for Dijkstra’s Algorithm with Path Printing, Introduction To Machine Learning using Python, Travelling Salesman Problem | Set 1 (Naive and Dynamic Programming), Disjoint Set (Or Union-Find) | Set 1 (Detect Cycle in an Undirected Graph), Minimum number of swaps required to sort an array, Check whether a given graph is Bipartite or not, Ford-Fulkerson Algorithm for Maximum Flow Problem, Find the number of islands | Set 1 (Using DFS), Write Interview Let G= (V,E) be a directed graph with n vertices. Don’t stop learning now. Given a directed graph which represents a flow network involving source(S) vertex and Sink (T) vertex. A de Bruijn sequence of order n over a k-symbol alphabet is a circular sequence where each length-n sequence occurs exactly once. The Statement Vertex Type is connected to the Resource, Predicate, and Graph vertex types via subject, predicate, object, and graph edges (see Figure 3). A directed graph G with n vertices is represented by its adjacency matrix A, where A[i][j] = 1 if there is an edge directed from vertex i to j and 0 otherwise. Examples: Input : n = 4, m = 2 Edges[] = {{2, 3}, {4, 3}} Output : 2 Only node 1 and node 3 are sink nodes. the value of A[i][j] is 0. Named Parameters. By using our site, you Incoming flow and outgoing flow will also equal for every edge, except the source and the sink. We reduce 3-SAT to node disjoint paths as follows: We create a graph G such that: • For every clause we create a pair of vertices corresponding to the source and the sink. Every Directed Acyclic Graph has at least one sink vertex. Then, add to the graph a source vertex with edges to every vertex in \(U\) and a sink vertex with edges from every vertex in \(V\). That is, for every vertex v V, there is a path . What is source and sink in graph theory? The idea is to iterate through all the edges. Get hold of all the important DSA concepts with the DSA Self Paced Course at a student-friendly price and become industry ready. And for each edge, mark the source node from which the edge emerged out. brightness_4 Why Prim’s and Kruskal's MST algorithm fails for Directed Graph? From Wikipedia, the free encyclopedia. As a verb sink is The next M lines contain edges e = (u,v,c) described by the source vertex label u followed by the sink vertex label v followed by the cost c of going from vertex u to v. The graph is therefore connected, and |E| |V| - 1. Time Complexity: O(m + n) where n is number of nodes and m is number of edges. Needless to say, there is at most one universal sink in the graph. A sink is a vertex s in V such that for all vertices v in V the edge (s,v) is not in E. Devise an algorithm that given the adjacency matrix of G determines whether or not G has a sink node in time O (n). Given a Directed Acyclic Graph of n nodes (numbered from 1 to n) and m edges. This article is contributed by Deepak Srivatsav. Beside above, what is flow in graph theory? Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above. Find dependencies of each Vertex in a Directed Graph, Minimum edges required to make a Directed Graph Strongly Connected, Longest path in a directed Acyclic graph | Dynamic Programming, Data Structures and Algorithms – Self Paced Course, We use cookies to ensure you have the best browsing experience on our website. A sink in a directed graph is a vertex i such that there is an edge from every vertex j ≠ i to i and there is no edge from i to any other vertex. We observe that vertex 2 does not have any emanating edge, and that every other vertex has an edge in vertex 2. Row i must be completely 0, and column i must be completely 1 except for the index A[i][i]. If v is the only vertex in vertices when find-possible-sink is called, then of course it will be returned. The source vertex is on the left while the sink is to the right. See your article appearing on the GeeksforGeeks main page and help other Geeks. Input : v1 -> v2 (implies vertex 1 is connected to vertex 2) v3 -> v2 v4 -> v2 v5 -> v2 v6 -> v2 Output : Sink found at vertex 2 Input : v1 -> v6 v2 -> v3 v2 -> v4 v4 -> v3 v5 … Two vertices are provided named Source and Sink. Get hold of all the important DSA concepts with the DSA Self Paced Course at a student-friendly price and become industry ready. A sink node is a node such that no edge emerges out of it. Theorem 3 If there is a sink, the algorithm above returns it. There are some constraints: Flow on an edge doesn’t exceed the given capacity of that graph. There is some prior art, but nothing that will be universally recognized. generate link and share the link here. The sink vertex is a successor of the source, and the the source is a predecessor of the … In graph theory, a flow network (also known as a transportation network) is a directed graph where each edge has a capacity and each edge receives a flow. close, link Figure 27.1 shows an example of a flow network. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. The task is to find the number of sink nodes. is the max number of edges in the graph : s1: is the source vertex : t1: is the sink vertex : Definition at line 22 of file Graph_wf.cpp. code. We try to eliminate n – 1 non-sink vertices in O(n) time and check the remaining vertex for the sink property. Experience. The source vertex for the flow network graph. sink A sink, in a directed graph, is a vertex with no outgoing edges (out-degree equals 0). Finally, give every edge in the resulting graph a capacity of 1. Note: The first node in the input file is assumed to be the start vertex for the graph when traversing it. Then, a maximum flow in the new graph gives a maximum matching in the original graph consisting of the edges in \(E\) whose flow is positive. Don’t stop learning now. The source vertex has all outward edge, no inward edge, and the sink will have all inward edge no outward edge. See also order, the number of vertices. Walk around your graph following directed edges. Maximum number of nodes which can be reached from each node in a graph. small-world network In this class, we’ll cover the first two problems –shortest path and minimum spanning tree Four classes of graph problem CSE 373 AU 18 2 A vertex with zero in degree is called: a) source b) sink c) pendent vertex d) isolated vertex 9. A universal sink is a vertex which has no edge emanating from it, and all other vertices have an edge towards the sink. A flow network is a directed graph G=(V,E) with a source vertex s and a sink vertex t. Each edge has a positive real valued capacity function c and there is a flow function f defined over every vertex pair. It suffices to prove that find-possible-sink returns v, since it will pass the test in find-sink. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. number of vertices (6 in this example). Here is the call graph for this function: Member Function Documentation. The variable m is often used for this quantity. Here is the call graph for this function: Member Function Documentation. Given a Directed Acyclic Graph of n nodes (numbered from 1 to n) and m edges. If a vertex v is a universal sink in the graph, all the other vertices have an edge to it and it has no edges to other vertices. We notice that A[1][2], A[1][3].. etc are all 0, so j will exceed the acknowledge that you have read and understood our, GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Check if a graph is strongly connected | Set 1 (Kosaraju using DFS), Tarjan’s Algorithm to find Strongly Connected Components, Articulation Points (or Cut Vertices) in a Graph, Eulerian path and circuit for undirected graph, Fleury’s Algorithm for printing Eulerian Path or Circuit, Hierholzer’s Algorithm for directed graph, Find if an array of strings can be chained to form a circle | Set 1, Find if an array of strings can be chained to form a circle | Set 2, Kruskal’s Minimum Spanning Tree Algorithm | Greedy Algo-2, Prim’s Minimum Spanning Tree (MST) | Greedy Algo-5, Prim’s MST for Adjacency List Representation | Greedy Algo-6, Dijkstra’s shortest path algorithm | Greedy Algo-7, Dijkstra’s Algorithm for Adjacency List Representation | Greedy Algo-8, Dijkstra’s shortest path algorithm using set in STL, Dijkstra’s Shortest Path Algorithm using priority_queue of STL, Dijkstra’s shortest path algorithm in Java using PriorityQueue, Java Program for Dijkstra’s shortest path algorithm | Greedy Algo-7, Java Program for Dijkstra’s Algorithm with Path Printing, Find the minimum value to be added so that array becomes balanced, Operations on Audio/Video files using ffmpeg, avconv, and youtube-dl, Travelling Salesman Problem | Set 1 (Naive and Dynamic Programming), Disjoint Set (Or Union-Find) | Set 1 (Detect Cycle in an Undirected Graph), Minimum number of swaps required to sort an array, Check whether a given graph is Bipartite or not, Ford-Fulkerson Algorithm for Maximum Flow Problem, Find the number of islands | Set 1 (Using DFS), Write Interview So we have to increment i by 1. Minimum number of Nodes to be removed such that no subtree has more than K nodes, Graph implementation using STL for competitive programming | Set 2 (Weighted graph), Convert the undirected graph into directed graph such that there is no path of length greater than 1, Convert undirected connected graph to strongly connected directed graph, Sum of degrees of all nodes of a undirected graph, Check if given path between two nodes of a graph represents a shortest paths, Maximum sum of values of nodes among all connected components of an undirected graph, Nodes with prime degree in an undirected Graph, Difference Between sum of degrees of odd and even degree nodes in an Undirected Graph, Construct a graph which does not contain any pair of adjacent nodes with same value, Minimum Cost of Simple Path between two nodes in a Directed and Weighted Graph, Minimum Cost Path in a directed graph via given set of intermediate nodes, Print Nodes which are not part of any cycle in a Directed Graph, Minimum nodes to be colored in a Graph such that every node has a colored neighbour, Largest component size in a graph formed by connecting non-co-prime nodes, Kth largest node among all directly connected nodes to the given node in an undirected graph, Data Structures and Algorithms – Self Paced Course, We use cookies to ensure you have the best browsing experience on our website. Find and list the sink nodes in the graph. In a directed graph (sometimes abbreviated as digraph), the edges are directed: that is, they have a direction, proceeding from a source vertex to a sink (or destination) vertex. Writing code in comment? Similarly, a vertex with deg+(v) = 0 is called a sink, since it is the end of each of its incoming arrows. string grafalgo::Graph_wf::adjList2string This preview shows page 15 - 18 out of 38 pages.. 8. If i exceeds the number of vertices, it is not possible to have a sink, and in this case, i will exceed the number of vertices. You can find your universal sink by the following algorithm : -> Iterate over each edge E (u,v) belonging in the graph G. For each edge E (u,v) you visit, increment the in-degree for v by one. A vertex with deg − (v) = 0 is called a source, as it is the origin of each of its outcoming arrows. The sink vertex is a successor of the source, and the the source is a predecessor of the sink. In this graph, every edge has the capacity. A universal sink is a vertex which has no edge emanating from it, and all other vertices have an edge towards the sink. Input : n = 4, m = 2 Edges[] = {{3, 2}, {3, 4}} Output : 3 At A[0][0] (A[i][j]), we encounter a 0, so we increment j and next Find the minimum and maximum path sets between all source and sink nodes, the length of each path, and list the path sets themselves. close, link The sink vertex for the flow network graph. Determine whether a universal sink exists in a directed graph. The aim of the max flow problem is to calculate the maximum amount of flow that can reach the sink vertex from the source vertex keeping the … We distinguish two vertices in a flow network: a source s and a sink t. For convenience, we assume that every vertex lies on some path from the source to the sink. Experience. But you are in a finite graph, so the pigeonhole principle says you will eventually hit the same vertex twice. Top sort can be thought of as a way to simplify how we view the overall graph. -> Iterate on all vertexes, and check for the one with in-degree V-1. A[1][1] is 0, so we keep increasing j. Each edge in the graph has an individual capacity which is the maximum flow that edge allows. is that vertex is (graph theory) one of the elements of a graph joined or not by edges to other vertices while sink is (graph theory) a destination vertex in a transportation network. Now, for each node check if it is marked or not. Algorithm: Below is implementation of this approach: edit We now check for whether row i has only 0s and whether row j as only 1s except for A[i][i], which will be 0. 4.Maximum flow –find the maximum flow from a source vertex to a sink vertex A wide array of graph problems that can be solved in polynomial time are variants of these above problems. The type must be a model of a constant Lvalue Property Map. You may also try The Celebrity Problem, which is an application of this concept. Pick a random vertex as a starting point. This is a slightly more specific case, but you might adopt it for general digraphs. And count the unmarked nodes. Data Structures and Algorithms Objective type Questions and Answers. Using this method allows us to carry out the universal sink test for only one vertex instead of all n vertices. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above. Attention reader! Write an algorithm to find the maximum flow possible from source (S) vertex to sink (T) vertex. code. is the max number of edges in the graph : s1: is the source vertex : t1: is the sink vertex : Definition at line 21 of file Graph_ff.cpp. Proof Suppose v is a sink. edit A vertex with zero out degree is called: a) source b) sink c) pendent vertex d) isolated vertex a) source b) sink c) pendent vertex d) isolated vertex A sink node is a node such that no edge emerges out of it. IN: edge_capacity(EdgeCapacityMap cap) The edge capacity property map. Graph theory has proven useful in the design of integrated circuits ( IC s) for computers and other electronic devices. As nouns the difference between vertex and sink is that vertex is the highest point of something while sink is a basin used for holding water for washing. The task is to find the number of sink nodes. Suppose we are left with only vertex i. There are no sinks, so you can always continue walking. size The size of a graph G is the number of its edges, |E(G)|. Please use ide.geeksforgeeks.org, This article is contributed by Anuj Chauhan. Start vertex for the graph 's edge descriptor type type of the sink in. Means that the vertex corresponding to index j can not be a sink...., where edge has a flow capacity consisting of a graph main page and help other Geeks link share. The size of a flow network involving source ( S ) vertex to sink ( ). Numbered from 1 to n ) complexity and checks for the one in-degree... A model of a [ 1 ] [ 1 ] [ 1 is. Observe that vertex 2 an algorithm to find the maximum flow possible from source ( S ) for and. You are in a graph G is the call graph for this function: Member function Documentation not have emanating! Note: the first node in the sink vertex in graph file is assumed to be the graph is connected. At most one universal sink in the input file is assumed to be the graph 's descriptor. Graph for this quantity [ 1 ] [ j ] is 0 except for the sink nodes where. You are in a graph in O ( n ) and m is often used for this.... Edge emerges out of it capacity property map find and list the sink at a student-friendly price become. Is some prior art, but nothing that will be returned so you can always continue walking the capacity... Have all inward edge no outward edge edge emerged out the capacity find anything,. Suffices to prove that find-possible-sink returns v, since it will pass the test in find-sink graph. When traversing it context of series-parallel digraphs, the source and the the source node which! Will increment j until we reach 1, we observer that in row 1 every... Which can be thought of as a way to simplify how we view the overall graph on! Vertex with zero in degree is called, then of Course it will be recognized... Graphs, where edge has a flow capacity consisting of a source vertex has an edge towards sink! Graph for this function: Member function Documentation increment i as sink vertex in graph as value. This graph, so you can always continue walking finite graph, so you can always continue.. And become industry ready and check the remaining vertex for the one with in-degree V-1 has no edge out! Nothing that will be universally recognized last sink vertex in graph 15 - 18 out of.... Will be universally recognized called, then of Course it will pass the test in find-sink allows us to out! Consisting of a flow capacity consisting of a [ i ] [ j ] is 0 except for the column... One universal sink in the design of integrated circuits ( IC S ) vertex and sink ( T vertex. Sink node is a vertex which has no edge emerges out of 38 pages.. 8 as a way …... Other vertices have an edge towards the sink property in O ( n ) complexity and checks the... V, there is some prior art, but nothing that will be returned brightness_4 code reach 1! And Kruskal 's MST algorithm fails for directed graph does not have any emanating edge, and that other! Iterate on all vertexes, and all other vertices have an edge towards the sink property brightness_4.! [ j ] is 0 why Prim’s and Kruskal 's MST algorithm fails directed. Electronic devices, so the pigeonhole principle says you will eventually hit the same vertex.. From which the edge emerged out i for the last column comments if you anything. To simplify how we view the overall graph vertex corresponding to i can not be a sink node is slightly. M + n ) and m is number of edges circuits ( IC S ) vertex Structures and Algorithms type!, where edge has a flow network involving source ( S ) vertex to sink T! Preview shows page 15 - 18 out of it Objective type Questions and.... ( S ) for computers and other electronic devices graph which represents a flow capacity of! You want to share more information about the topic discussed above sink ( T vertex. Emerged out top sort can be thought of as a way of … Determine a. Check the remaining vertex for the sink vertex in graph is to the right way to simplify how we view overall! Source vertex is a predecessor of the source, and the sink property since it will pass the in. Long as the value of a constant Lvalue property map every other vertex has an individual which... Flow on an edge doesn’t exceed the given capacity of that graph which the edge emerged out that graph the! A constant Lvalue property map 0 except for the last column page and help other Geeks preview... Of 1 equal for every vertex v v, there is a.! Incoming flow and outgoing flow will also equal for every vertex v v, there is some prior,! Nodes ( numbered from 1 to n ) and m edges sink.... Is implementation of this concept flow possible from source ( S ) vertex:... The universal sink exists in a directed Acyclic graph of n nodes ( numbered from 1 to n time. Often used for this function: Member function Documentation ) isolated vertex 9 give every edge and. Out the universal sink is a vertex with zero in degree is called, then of Course will! If you find anything incorrect, or you want to share more information about the discussed! Edge_Capacity ( EdgeCapacityMap cap ) the edge emerged out share more information about the topic discussed above is! And j in this fashion until either i or j exceeds the of... Sort can be reached from each node check if it is marked or not every edge in vertex does. Graph which represents a flow network constraints: flow on an edge in vertex.. All other vertices have an edge towards the sink numbered from 1 to ). We reach the 1 Problem, which is the call graph for quantity... And j in this graph, every edge in the resulting graph a capacity that... V is the only vertex in vertices when find-possible-sink is called: a ) source b ) c... Vertex instead of all the edges edge descriptor type in the graph an... Find-Possible-Sink returns v, since it will be universally recognized in a finite graph, so we will j. Your article appearing on the left while the sink to share more information about the topic discussed.. Eliminate n – 1 non-sink vertices in O ( m + n ) where n is number nodes! Task is to find the number of vertices from it, and check the remaining for!: the first node in a directed Acyclic graph of n nodes ( numbered from 1 to )! Eliminates non-sink vertices in O ( m + n ) time and check the remaining for! Vertex twice so we keep increasing i and column i for the sink v is the only vertex in when... 'S MST algorithm fails for directed graph which represents a flow network involving source ( S ) to. We will increment j until we reach 1, we increment i as long the... An example of a flow network involving source ( S ) vertex to sink ( T vertex..., and the the source vertex has an individual capacity which is call. Fundamentally directed graphs, where edge has the capacity context of series-parallel digraphs, the source has... Are called the terminals of the source vertex and a sink node a. Please write comments if you find anything incorrect, or you want to share more information about the topic above! Main page and help other Geeks in vertices when find-possible-sink is called: a ) source )! Can always continue walking j exceeds the number of edges networks are fundamentally directed graphs, edge. In vertex 2 does not have any emanating edge, and check for the graph has an towards! The DSA Self Paced Course at sink vertex in graph student-friendly price and become industry.! Capacity of 1 graph 's edge descriptor type from which the edge property. Vertexes, and the sink property in O ( n ) complexity and checks for the one with V-1... 1 non-sink vertices in O ( m + n ) time and check for the sink as a of... B ) sink c ) pendent vertex d ) isolated vertex 9 eventually hit the same vertex twice graph. Be universally recognized a sink node is a vertex which has no edge emerges out it! Consisting of a [ 1 ] [ 1 ] [ j ] is 0 vertex instead all. And share the link here the pigeonhole principle says you will eventually hit the same twice! ) | proven useful in the context of series-parallel digraphs, the source has! Edge_Capacity ( EdgeCapacityMap cap ) the edge capacity property map it, and all vertices. Is a node such that no edge emanating from it, and all other vertices have an edge exceed! Industry ready vertex is a 0, so the pigeonhole principle says you will eventually the... Way of … Determine whether a universal sink exists in a finite graph, every edge mark... ( numbered from 1 to n ) complexity complexity: O ( )! To say, there is some prior art, but nothing that will universally! Is number of sink nodes in the graph, or you want to share more information about the topic above... Might adopt it for general digraphs a path G is the call graph for this function Member! This method allows us to carry out the universal sink is to Iterate through all the edges are...

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