Table of Contents

## How do you know if two strings share a common substring?

You have to check if the two strings share a common substring. A basic approach runs in O(n^2), where we compare every character of string 1 with every character of string 2 and replace every matched character with a “_” and set flag variable as true. An efficient approach works in O(n).

## Is LeetCode a subsequence?

Is Subsequence – LeetCode. Given two strings s and t , check if s is a subsequence of t . A subsequence of a string is a new string that is formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters.

## What is application of the longest common subsequence?

The longest common subsequence problem is a classic computer science problem, the basis of data comparison programs such as the diff utility, and has applications in computational linguistics and bioinformatics.

## What is the time complexity of LCS?

An Approach for Improving Complexity of Longest Common Subsequence Problems using Queue and Divide-and-Conquer Method. Abstract: The general algorithms which are followed to solve the Longest Common Subsequence (LCS) problems have both time complexity and space complexity of O(m * n).

## Which is better bottom-up or top down in DP?

There is another way to implement a DP algorithm which is called bottom-up. In most cases, the choice of which one you use should be based on the one you are more comfortable writing. Personally I feel that top-down DP is more intuitive but this varies from one person to another.

## What is Bottomup algorithm?

Going bottom-up is a way to avoid recursion, saving the memory cost that recursion incurs when it builds up the call stack. Put simply, a bottom-up algorithm “starts from the beginning,” while a recursive algorithm often “starts from the end and works backwards.”

## Why is bottom-up faster than top down?

Bottom-up DP is faster than top-down since it doesn’t involve any function calls. It completely depends on the table entries while in top-down DP it requires function calls and thereby causing an implicit stack formation.

## Which is faster Memoization or tabulation?

Tabulation is often faster than memoization, because it is iterative and solving subproblems requires no overhead. However, it has to go through the entire search space, which means that there is no way to easily optimize the runtime.

## Is DP better than Memoization?

In summary, here are the difference between DP and memoization. DP is a solution strategy which asks you to find similar smaller subproblems so as to solve big subproblems. It usually includes recurrence relations and memoization. Memoization is a technique to avoid repeated computation on the same problems.

## What is DP Why do we Memoize?

As we can see we are storing the most recent cache up to a limit so that if next time we got a call from the same state we simply return it from the memory. So, this is why we call it memoization as we are storing the most recent state values.