Technical Interview Questions
Basically, it’s Popular Search Algorithms. Also, a prospective solution. Further, moves to a neighboring solution. Moreover, returns a valid solution. a. Hill-Climbing Search Algorithm We can start this algorithm with an arbitrary solution to a problem. Also, it’s an iterative algorithm. Hence, the algorithm attempts to better solution by a single element of the solution. … Read more
The node which is closest to goal will be expanded first. Although, explanation of nodes depends upon f(n) = h(n). Further, using priority queue we implement it. Disadvantage It can get stuck in loops. It is not optimal. In an interview setting, a concise yet comprehensive answer to the question “What is the Greedy Best … Read more
We can say that A * Search is the best form of Best First Search. Also, avoids expensive expanding path. Although, first expands most promising path. f(n) = g(n) + h(n), where g(n) is the cost to reach the node h(n), it is estimated cost to get from the node to the goal f(n) it … Read more
To increase the efficiency of search algorithm we need to add problem-specific knowledge. We use this to solve large problems with a large number of possible states a. Heuristic Evaluation Functions We use this function to calculate the path between two states that a function takes for sliding-tiles games. which we have to calculate by … Read more
To perform this search we need to follow steps. As it performs the DFS starting to level 1, starts and then executes a complete depth-first search to level 2. Moreover, we have to continue searching process till we find the solution. We have to generate nodes till single nodes are created. Also, it saves the … Read more