- How do you find the topological order on a graph?
- What is the time complexity of topological sort?
- Is topological sort unique?
- Is topological sort greedy?
- Is quicksort a stable sorting algorithm?
- Is quicksort greedy algorithm?
- When the topological sort of a graph is unique?
- What is a minimum weight spanning tree?
- What is the time complexity of DFS?
- What is topological sort used for?
- Is a self loop a cycle?
- What is single source shortest path algorithm?
- What is a Rudrata path?
- How does a topological sort work?
- How does topological sort determine cycle?
- Can you run topological sort on a graph that is undirected?
- What is the advantage of counting sort over quick sort?
- How does Dag detect cycle?
- Can BFS detect cycle?
- What is the best way to detect a cycle in a sequence array list?
- What is an Indegree?
- Can one use the order in which vertices are pushed onto the DFS stack instead of the order they are popped off it to solve the topological sorting problem?
- Is topological sort stable?
- What are strongly connected components in a graph?

## How do you find the topological order on a graph?

Algorithm to find Topological Sorting: We recommend to first see implementation of DFS here.

We can modify DFS to find Topological Sorting of a graph.

In DFS, we start from a vertex, we first print it and then recursively call DFS for its adjacent vertices.

In topological sorting, we use a temporary stack..

## What is the time complexity of topological sort?

Kahn’s algorithm is used to perform a topological sort on a directed acyclic graph with time complexity of O ( V + E ) O(V + E) O(V+E) – where V is the number of vertices and E is the number of edges in the graph.

## Is topological sort unique?

Uniqueness. If a topological sort has the property that all pairs of consecutive vertices in the sorted order are connected by edges, then these edges form a directed Hamiltonian path in the DAG. If a Hamiltonian path exists, the topological sort order is unique; no other order respects the edges of the path.

## Is topological sort greedy?

Topological sort is a greedy algorithm. A matrix chain product problem has a chain of four matrices ABCD.

## Is quicksort a stable sorting algorithm?

Efficient implementations of Quicksort are not a stable sort, meaning that the relative order of equal sort items is not preserved. Mathematical analysis of quicksort shows that, on average, the algorithm takes O(n log n) comparisons to sort n items.

## Is quicksort greedy algorithm?

quicksort recursively divides its input into subsequences on either side of an arbitrarily chosen pivot, optimizing the division to maximize sortedness at each stage.

## When the topological sort of a graph is unique?

Explanation: The topological sort of a graph can be unique if we assume the graph as a single linked list and we can have multiple topological sort order if we consider a graph as a complete binary tree. 6. Topological sort can be implemented by?

## What is a minimum weight spanning tree?

A minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected, edge-weighted undirected graph that connects all the vertices together, without any cycles and with the minimum possible total edge weight.

## What is the time complexity of DFS?

The time complexity of DFS if the entire tree is traversed is O ( V ) O(V) O(V) where V is the number of nodes. In the case of a graph, the time complexity is O ( V + E ) O(V + E) O(V+E) where V is the number of vertexes and E is the number of edges.

## What is topological sort used for?

A topological sort takes a directed acyclic graph and produces a linear ordering of all its vertices such that if the graph G contains an edge (v,w) then the vertex v comes before the vertex w in the ordering. Directed acyclic graphs are used in many applications to indicate the precedence of events.

## Is a self loop a cycle?

Self-loops can only ever occur in a directed graph, since a self-loop is a type of directed edge. Both directed and undirected graphs can have cycles in them, but it’s worth noting that a self-loop can only ever occur in a directed cyclic graph, which is a directed graph that contains at least one cycle in it.

## What is single source shortest path algorithm?

The single source shortest path algorithm (for arbitrary weight positive or negative) is also known Bellman-Ford algorithm is used to find minimum distance from source vertex to any other vertex. … At first it finds those distances which have only one edge in the path.

## What is a Rudrata path?

A Hamiltonian path, also called a Hamilton path, is a graph path between two vertices of a graph that visits each vertex exactly once. If a Hamiltonian path exists whose endpoints are adjacent, then the resulting graph cycle is called a Hamiltonian cycle (or Hamiltonian cycle).

## How does a topological sort work?

The topological sort algorithm takes a directed graph and returns an array of the nodes where each node appears before all the nodes it points to. The ordering of the nodes in the array is called a topological ordering. Since node 1 points to nodes 2 and 3, node 1 appears before them in the ordering.

## How does topological sort determine cycle?

Approach: In Topological Sort, the idea is to visit the parent node followed by the child node. If the given graph contains a cycle, then there is at least one node which is a parent as well as a child so this will break Topological Order.

## Can you run topological sort on a graph that is undirected?

1 Answer. It’s hard to pin down what a topological ordering of an undirected graph would mean or look like. A topological ordering of a directed graph is one where for every edge (u, v) in the graph, u appears in the ordering before v.

## What is the advantage of counting sort over quick sort?

What is the advantage of counting sort over quick sort? Explanation: Counting sort is very efficient in the cases where range is comparable to number of input elements as it performs sorting in linear time.

## How does Dag detect cycle?

Using a Depth First Search (DFS) traversal algorithm we can detect cycles in a directed graph. If there is any self-loop in any node, it will be considered as a cycle, otherwise, when the child node has another edge to connect its parent, it will also a cycle.

## Can BFS detect cycle?

BFS wont work for a directed graph in finding cycles. Consider A->B and A->C->B as paths from A to B in a graph. BFS will say that after going along one of the path that B is visited. When continuing to travel the next path it will say that marked node B has been again found,hence, a cycle is there.

## What is the best way to detect a cycle in a sequence array list?

Approach: This is the fastest method and has been described below:Traverse linked list using two pointers.Move one pointer(slow_p) by one and another pointer(fast_p) by two.If these pointers meet at the same node then there is a loop. If pointers do not meet then linked list doesn’t have a loop.

## What is an Indegree?

Noun. indegree (plural indegrees) (graph theory) The number of edges directed into a vertex in a directed graph.

## Can one use the order in which vertices are pushed onto the DFS stack instead of the order they are popped off it to solve the topological sorting problem?

3) Can we use the order in which the vertices are pushed onto the DFS stack (instead of the order they are popped off it) to solve the topological sorting problem? The answer is no.

## Is topological sort stable?

An interesting property of a stable topological sort is that cyclic dependencies are tolerated and resolved according to original order of elements in sequence. This is a desirable feature for many applications because it allows to sort any sequence with any imaginable dependencies between the elements.

## What are strongly connected components in a graph?

In the mathematical theory of directed graphs, a graph is said to be strongly connected if every vertex is reachable from every other vertex. The strongly connected components of an arbitrary directed graph form a partition into subgraphs that are themselves strongly connected.