dynamic programming

Jump Game II LeetCode Solution

You are given a 0-indexed array of integers nums of length n. You are initially positioned at nums[0]. Each element nums[i] represents the maximum length of a forward jump from index i. In other words, if you are at nums[i], you can jump to any nums[i + j] where: 0 <= j <= nums[i] and i + j < n. Return the minimum number of jumps to reach nums[n - 1].

Wildcard Matching LeetCode Solution

Given an input string (s) and a pattern (p), implement wildcard pattern matching with support for ‘?’ and ‘*’ where: ‘?’ Matches any single character.’*’ Matches any sequence of characters (including the empty sequence).The matching should cover the entire input string.

Dynamic Programming

Here, We will discuss about Dynamic Programming, their strategy, properties and approaches like memoization and tabulation and their applications. What is Dynamic Programming? Dynamic Programming is a powerful technique to solve a complicated problem by breaking it down into simpler subproblems. The idea of dynamic programming is to avoid making redundant method calls. In Divide …

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