The problem of finding the longest increasing subsequence of a given array of integers is a classic dynamic programming problem.
This is a common problem that tests your understanding of linked lists and basic merging algorithms, involves merging two sorted linked lists into a single sorted linked list.
The problem is about rotating an array to the right by a given number of steps, modify the given array in-place (without using an extra array) and perform the rotation.
Given an array of numbers, the task is to find all combinations of three numbers from the array such that their sum equals a given target value.
The goal of this problem is to find the length of the longest substring within a given string that does not contain any repeating characters.
In this approach, you use one stack for enqueue (insertion) operations and the other stack for dequeue (removal) operations, effectively simulating the behavior of a queue.
It's essential to understand the problem's characteristics and the properties of the Greedy approach to decide whether it is suitable for a specific problem or not.
There are generally three methods for amortized analysis: aggregate analysis, accounting method, and potential method. The choice is most convenient for a particular situation.
You are given a string containing only parentheses, brackets, and curly braces. You need to determine if the string's parentheses are valid and properly balanced.
You need to find two elements in the nums array such that their sum equals target and return their indices as an array.