Python

💡 Problem Formulation: Given a list of integers, the goal is to split it into multiple sublists where each sublist is strictly increasing and has a size greater than a specified value k. For example, given the input list [1, 2, 3, 2, 4, 6] and k = 2, the desired output would be [[1, … Read more

💡 Problem Formulation: Finding the largest sum of three non-overlapping sublists with the same sum in an array can be a challenging task. This problem entails writing a program that takes an array as input and outputs the maximum sum that can be obtained from three non-overlapping sublists, where each sublist has the same total … Read more

💡 Problem Formulation: The task focuses on discovering the most expansive binary search subtree buried within a potentially unorganized binary tree. The binary search subtree adheres to the property where each node’s left descendants are smaller, and right descendants are larger than the node itself. Input is a binary tree, and desired output is the … Read more

💡 Problem Formulation: We often encounter the task of determining the number of unique paths that exist from the top-left corner to the bottom-right corner on a 2D grid, assuming movement is limited to either right or down. For example, in a 3×3 grid, there are exactly 6 distinct ways to travel from the first … Read more

💡 Problem Formulation: We often face scenarios where we need to analyze sublists within a larger list, especially to count how many of those sublists contain a specific number of unique elements. Consider we are given a list, say [1, 2, 3, 1, 2], and we want to find the number of sublists that contain … Read more

💡 Problem Formulation: In the context of string processing, finding the lexicographically smallest subsequence of a given size can be a common task. The goal is to identify the smallest subsequence of length ‘k’ from a given string such that when the characters are compared lexicographically, no other subsequence of the same length is smaller. … Read more

💡 Problem Formulation: The task is to design a Python program that takes a set of jobs, each characterized by a start time, end time, and profit it can earn, and outputs the maximum profit that can be achieved by scheduling non-overlapping jobs. For instance, given jobs represented as [(start1, end1, profit1), (start2, end2, profit2), … Read more

💡 Problem Formulation: Finding the longest path in a Directed Acyclic Graph (DAG) without repeating nodes is a classical problem in computer science. This task involves identifying a path following the graph’s edges in one direction (since it’s directed) and maximizing the path’s length without traversing the same node more than once. For example, given … Read more

💡 Problem Formulation: Given a matrix of integers, the goal is to find the length of the longest increasing path, where increasing path refers to a series of values that increase with each step in any of the four cardinal directions (up, down, left, right). For instance, in matrix [ [9, 9, 4], [6, 6, … Read more

💡 Problem Formulation: You need to determine the minimum cost required to reach the final index in either of two lists, where each index represents a step with an associated cost. This challenge is akin to finding the cheapest path through a grid, focusing only on the horizontal plane. Given the lists [1, 2, 3] … Read more

💡 Problem Formulation: Imagine you have a binary list where 1s and 0s are intermixed, and your task is to find the minimal number of adjacent swaps required to group all the 1s together. For instance, given the input [1, 0, 1, 0, 1], a solution could be to swap the 0s to the end, … Read more

💡 Problem Formulation: Imagine a scenario where you need to cross a river by stepping on stones. The stones are positioned at intervals, and you can only jump a certain distance. Given a list representing stone locations and a maximum jump distance, we want to determine if crossing the river is possible. The input is … Read more