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  1. Dynamic Programming - LeetCode

    Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview.

  2. Coin Change - LeetCode

    Can you solve this real interview question? Coin Change - You are given an integer array coins representing coins of different denominations and an integer amount representing a total amount of …

  3. 0/1 Knapsack Problem and Dynamic Programming - LeetCode

    Apr 10, 2021 · 0/1 Knapsack is important problem for dynamic programming study since it provides many useful insights. Statement: Given a set of n items numbered from 1 up

  4. Study Plan - LeetCode

    Enhance your coding skills and prepare for job interviews with LeetCode's study plans.

  5. Dynamic Programming - Study Plan - LeetCode

    Dynamic Programming Summary Beginner friendly Common and essential DP patterns Learn DP in a recursive manner

  6. Maximum Profit in Job Scheduling - LeetCode

    Can you solve this real interview question? Maximum Profit in Job Scheduling - We have n jobs, where every job is scheduled to be done from startTime[i] to endTime[i], obtaining a profit of profit[i]. You're …

  7. Edit Distance - LeetCode

    Can you solve this real interview question? Edit Distance - Given two strings word1 and word2, return the minimum number of operations required to convert word1 to word2. You have the following three …

  8. DSA Patterns you need to know !!! - Discuss - LeetCode

    Binary Search for Beginners: Problems & Patterns Dynamic Programming (DP) Dynamic Programming Patterns DP for Beginners: Problems & Patterns Graphs Graph For Beginners Become Master In …

  9. Explore - LeetCode

    That's the end of the Dynamic Programming 1 explore card. Whether you were a complete beginner or already an expert in dynamic programming, hopefully you have taken something from this card. What …

  10. Longest Increasing Subsequence - LeetCode

    Can you solve this real interview question? Longest Increasing Subsequence - Given an integer array nums, return the length of the longest strictly increasing subsequence. Example 1: Input: nums = …