Can someone please help me understand the logic of following Dynamic Programmming question Found this one at geeksforgeeks.com. I am unable to understand even after going through the answer provided. Question: Count of N-digit numbers with absolute difference of adjacent digits not exceeding K | Set 2 Given two integers N and K, the task is to find the count
Tag: dynamic-programming
Python find the largest square in the matrix dynamic programming
I have a matrix as follows (Python) : where “o” is an obstacle and I need to find the biggest square in this matrix. and replace corresponding ‘.’ with ‘x’ like below found similar questions here(SO), but nothing helped. Answer It can be done with a complexity of O(n²) using dynamic programming. The idea is that you have a bigger
Why does this solution work in Javascript but not in Python? (Dynamic programming)
I’m following this tutorial about dynamic programming and I’m struggling to implement memoization in the following problem: *Write a function called canSum(targetSum, numbers) that returns True only if the numbers in the array can sum to the target sum. All the numbers in the array are positive integers and you can use them more than once for the solution. Example:
How does one find the largest consecutive set of numbers in a list that are not necessarily adjacent?
For instance, if I have a list This algorithm should return [1,2,3,4,5,6,7,8,9,10,11]. To clarify, the longest list should run forwards. I was wondering what is an algorithmically efficient way to do this (preferably not O(n^2))? Also, I’m open to a solution not in python since the algorithm is what matters. Thank you. Answer Here is a simple one-pass O(n) solution: