![]() ![]() ![]() Prim’s algorithm: A minimum spanning tree algorithm that finds the minimum spanning tree of a weighted, undirected graph.Bellman-Ford Algorithm: A shortest path algorithm that can handle negative weight edges and detect negative weight cycles. ![]() Floyd Warshall Algorithm: An all-pairs shortest path algorithm that finds the shortest path between all pairs of vertices in a weighted graph.Dijkstra Algorithm: A shortest path algorithm that finds the shortest path between a given source vertex and all other vertices in a weighted graph.Depth First Search (DFS): A graph traversal algorithm that explores all the vertices of a graph that are reachable from a given source vertex, by going as far as possible along each branch before backtracking.Breadth First Search (BFS): A graph traversal algorithm that explores all the vertices of a graph that are reachable from a given source vertex.In this traversal, we start from the root node, visit all the nodes on the first level, then move to the second level and visit all the nodes on that level, and so on until we reach the last level. Level-Order Traversal: It involves visiting each level of the tree from left to right.Post-Order Traversal: In this traversal, the nodes are visited in the order of left subtree, right subtree, and root node.Pre-Order Traversal: In this traversal, the nodes are visited in the order of root node, left subtree, and right subtree.This type of traversal is commonly used in binary search trees. In-Order Traversal: In this traversal, the nodes are visited in the order of left subtree, root node, and right subtree.Here are different ways to traverse a tree, but the most common ones are: In other words, it’s the method of accessing and processing each node in a tree in a systematic way. Tree traversal refers to the process of visiting all nodes in a tree data structure, typically in a specific order. Some of the very important questions based on Dynamic Programming are as follows: It basically stores solutions of sub-problems and simply uses the stored result wherever required, in spite of calculating the same thing again and again. And the final solution is derived from the solutions of smaller sub-problems. Dynamic Programming can be applied to all such problems, where we have to solve a problem using its sub-problems. Software Engineering Interview Questionsĭynamic programming is one of the most important algorithms that is asked in coding interviews.Top 10 System Design Interview Questions and Answers.Top 20 Puzzles Commonly Asked During SDE Interviews.Commonly Asked Data Structure Interview Questions.Top 10 algorithms in Interview Questions.Top 20 Dynamic Programming Interview Questions.Top 20 Hashing Technique based Interview Questions.Top 50 Dynamic Programming (DP) Problems.Top 20 Greedy Algorithms Interview Questions.Top 100 DSA Interview Questions Topic-wise. ![]()
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