Applications of Topological Sorting

Topological sorting has numerous real-world applications, including:

  • In project management, it helps determine the order in which tasks should be executed to minimize dependencies and improve project efficiency.
  • Compilers use topological sorting to resolve dependencies between functions and optimize code generation.
  • Package managers like APT and YUM use topological sorting to manage software dependencies efficiently.
  • Universities use topological sorting to establish course prerequisites, ensuring that students take courses in the correct order.


C Program for Topological Sorting

A fundamental procedure in computer science called topological sorting is used to arrange the nodes in a directed network. This sorting method makes sure that vertex u is placed before vertex v in the sorted order for each directed edge (u, v). Numerous fields, including work scheduling, project planning, and dependency resolution, use topological sorting extensively.

Prerequisites: Loops, Structures, Graphs.

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Topological Sorting

Topological Sorting is the process in which the main goal is to find an ordering of vertices in a directed acyclic graph (DAG) that places vertex u before vertex v for any directed edge (u, v). “Topological order” is the name given to this linear arrangement. If a DAG contains cycles, it might not have any topological ordering at all....

C Program for Topological Sorting

C // C Program to implement Topological Sorting #include #include #include    // Structure to represent a stack struct Stack {     int data;     struct Stack* next; };    struct Graph {     int V; // No. of vertices     // Pointer to an array containing adjacency lists     struct List* adj; };    // Structure to represent a list (adjacency list) struct List {     int data;     struct List* next; };    // Create a new node for the stack struct Stack* createStackNode(int data) {     struct Stack* newNode         = (struct Stack*)malloc(sizeof(struct Stack));     newNode->data = data;     newNode->next = NULL;     return newNode; }    // Create a new node for the adjacency list struct List* createListNode(int data) {     struct List* newNode         = (struct List*)malloc(sizeof(struct List));     newNode->data = data;     newNode->next = NULL;     return newNode; }    // Function to initialize a graph with V vertices struct Graph* createGraph(int V) {     struct Graph* graph         = (struct Graph*)malloc(sizeof(struct Graph));     graph->V = V;     graph->adj         = (struct List*)malloc(V * sizeof(struct List));     for (int i = 0; i < V; ++i) {         graph->adj[i].next = NULL;     }     return graph; }    // Function to add an edge to the graph void addEdge(struct Graph* graph, int v, int w) {     struct List* newNode = createListNode(w);     newNode->next = graph->adj[v].next;     graph->adj[v].next = newNode; }    // A recursive function used by topologicalSort void topologicalSortUtil(struct Graph* graph, int v,                          bool visited[],                          struct Stack** stack) {     visited[v] = true;        struct List* current = graph->adj[v].next;     while (current != NULL) {         int adjacentVertex = current->data;         if (!visited[adjacentVertex]) {             topologicalSortUtil(graph, adjacentVertex,                                 visited, stack);         }         current = current->next;     }        // Push the current vertex to stack which stores the     // result     struct Stack* newNode = createStackNode(v);     newNode->next = *stack;     *stack = newNode; }    // The function to do Topological Sort. It uses recursive // topologicalSortUtil void topologicalSort(struct Graph* graph) {     struct Stack* stack = NULL;        // Mark all the vertices as not visited     bool* visited = (bool*)malloc(graph->V * sizeof(bool));     for (int i = 0; i < graph->V; ++i) {         visited[i] = false;     }        // Call the recursive helper function to store     // Topological Sort starting from all vertices one by     // one     for (int i = 0; i < graph->V; ++i) {         if (!visited[i]) {             topologicalSortUtil(graph, i, visited, &stack);         }     }        // Print contents of stack     while (stack != NULL) {         printf("%d ", stack->data);         struct Stack* temp = stack;         stack = stack->next;         free(temp);     }        // Free allocated memory     free(visited);     free(graph->adj);     free(graph); }    // Driver program to test above functions int main() {     // Create a graph given in the above diagram     struct Graph* g = createGraph(6);     addEdge(g, 5, 2);     addEdge(g, 5, 0);     addEdge(g, 4, 0);     addEdge(g, 4, 1);     addEdge(g, 2, 3);     addEdge(g, 3, 1);        printf("Topological Sorting Order: ");     topologicalSort(g);        return 0; }...

Applications of Topological Sorting

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