**BFS stands for Breadth First Search.** **DFS stands for Depth First Search**. 2. BFS(Breadth First Search) uses Queue data structure for finding the shortest path. DFS(Depth First Search) uses Stack data structure.

Indeed, What is data structure example?

Data Structure can be defined as the group of data elements which provides an efficient way of storing and organising data in the computer so that it can be used efficiently. Some examples of Data Structures are **arrays, Linked List, Stack, Queue**, etc.

Then, What is negative weight cycle? A negative weight cycle is **a cycle with weights that sum to a negative number**. The Bellman-Ford algorithm propagates correct distance estimates to all nodes in a graph in V-1 steps, unless there is a negative weight cycle. If there is a negative weight cycle, you can go on relaxing its nodes indefinitely.

Why DFS uses stack? Depth First Search (DFS) algorithm traverses a graph in a depthward motion and uses a stack **to remember to get the next vertex to start a search, when a dead end occurs in any iteration**.

In the same way What is graph traversal in DAA? Graph traversal is **a technique used for a searching vertex in a graph**. The graph traversal is also used to decide the order of vertices is visited in the search process. A graph traversal finds the edges to be used in the search process without creating loops.

**What are the 2 main types of data structures?**

** Basically, data structures are divided into two categories: **

- Linear data structure.
- Non-linear data structure.

**What is data structure in simple words?**

More precisely, a data structure is **a collection of data values, the relationships among them, and the functions or operations that can be applied to the data**, i.e., it is an algebraic structure about data.

**How many types of data structures are there?**

When we think of data structures, there are generally **four** forms: Linear: arrays, lists. Tree: binary, heaps, space partitioning etc. Hash: distributed hash table, hash tree etc.

**Which algorithm relaxes each edge only once?**

**Dijkstra’s algorithm and the shortest-paths algorithm** for directed acyclic graphs relax each edge exactly once.

**What is Indegree of node?**

The degree of a node in an undirected graph is the number of edges incident on it; for directed graphs the indegree of a node is the number of edges leading into that node and its outdegree, the number of edges leading away from it (see also Figures 6.1 and 6.2).

**How is Dijkstra’s algorithm calculated?**

** Dijkstra’s Algorithm **

- Mark the ending vertex with a distance of zero. Designate this vertex as current.
- Find all vertices leading to the current vertex. Calculate their distances to the end. …
- Mark the current vertex as visited. …
- Mark the vertex with the smallest distance as current, and repeat from step 2.

**Why DFS is LIFO?**

We use the LIFO queue, i.e. stack, for implementation of the depth-first search algorithm because **depth-first search always expands the deepest node in the current frontier of the search tree**. The search proceeds immediately to the deepest level of the search tree, where the nodes have no successors.

**Is DFS LIFO or FIFO?**

BFS is implemented using FIFO list on the other hand DFS is implemented using **LIFO list**.

**Why is DFS o v e?**

For a directed graph, the sum of the sizes of the adjacency lists of all the nodes is E(total number of edges). So, the complexity of DFS is O(V + E). Show activity on this post. It’s O(V+E) because **each visit to v of V must visit each e of E where |e| <= V-1**.

**What is DFS in DSA?**

Depth-first search (DFS) is **an algorithm for traversing or searching tree or graph data structures**.

**How do you do DFS and BFS?**

** Example Implementation Of Bfs And Dfs **

- Step 1: Push the root node in the Stack.
- Step 2: Loop until stack is empty.
- Step 3: Peek the node of the stack.
- Step 4: If the node has unvisited child nodes, get the unvisited child node, mark it as traversed and push it on stack.

**What is time and space complexity?**

Time complexity of an algorithm quantifies the amount of time taken by an algorithm to run as a function of the length of the input. Similarly, Space complexity of an algorithm quantifies the amount of space or memory taken by an algorithm to run as a function of the length of the input.

**What is heap tree?**

A Heap is **a special Tree-based data structure in which the tree is a complete binary tree**. Generally, Heaps can be of two types: Max-Heap: In a Max-Heap the key present at the root node must be greatest among the keys present at all of it’s children.

**What is ADT in data structure?**

An ADT is **a mathematical model of a data structure that specifies the type of data stored, the operations supported on them, and the types of parameters of the operations**. An ADT specifies what each operation does, but not how it does it. Typically, an ADT can be implemented using one of many different data structures.

**What is difference between data structures and data types?**

** A data structure is a collection of different forms and different types of data that has a set of specific operations that can be performed ** . It is a collection of data types.

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Difference between data type and data structure:

Data Types | Data Structures |
---|---|

Can hold values and not data, so it is data less | Can hold different kind and types of data within one single object |

• 27 déc. 2019

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