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Topic: dynamic-programming-problem / Level: beginner
651. Solve the "Longest Palindromic Subsequence" problem where you find the longest palindromic subsequence in a string using dynamic programming.
652. Compute the longest common substring between two strings using dynamic programming.
653. Find the number of ways to decode a message where each number represents a letter using dynamic programming.
654. Solve the "House Robber Problem" where adjacent houses cannot be robbed, and you need to maximize the profit using dynamic programming.
655. Compute the minimum number of operations required to convert one string into another using dynamic programming.
656. Find the maximum product of a contiguous subarray using dynamic programming.
657. Solve the "Minimum Path Sum" problem where you find the minimum cost path in a grid using dynamic programming.
658. Determine the minimum number of operations required to reduce a number to 1 using dynamic programming.
659. Find the longest increasing subsequence in an array using dynamic programming.
660. Solve the "Rod Cutting Problem" where you maximize the profit obtained from cutting a rod into smaller pieces using dynamic programming.
661. Compute the minimum number of cuts required to partition a string into palindromic substrings using dynamic programming.
662. Solve the "Longest Common Subsequence" problem between two strings using dynamic programming.
663. Find the number of distinct ways to tile a 2xN grid using 1x2 dominoes using dynamic programming.
664. Solve the "Partition Equal Subset Sum" problem where you determine if an array can be partitioned into two subsets with equal sums using dynamic programming.
665. Compute the minimum number of steps required to reduce a number to 1 using dynamic programming.
666. Find the longest alternating subsequence in an array where elements alternately increase and decrease using dynamic programming.
667. Solve the "House Robber Problem" where adjacent houses cannot be robbed, maximizing the profit using dynamic programming.
668. Compute the longest palindromic substring in a string using dynamic programming.
669. Find the minimum number of operations required to make two strings identical using dynamic programming.
670. Solve the "Egg Dropping Problem" where you minimize the number of trials needed to determine the critical floor using dynamic programming.
671. Determine the number of distinct subsequences of a string using dynamic programming.
672. Solve the "Minimum Path Sum" problem where you need to find the minimum cost path from the top-left corner to the bottom-right corner of a grid using dynamic programming.
673. Compute the longest bitonic subsequence in an array where the subsequence first increases and then decreases using dynamic programming.
674. Find the number of ways to climb a staircase where you can take 1, 2, or 3 steps using dynamic programming.
675. Solve the "Rod Cutting Problem" where you maximize the revenue obtained from cutting a rod into smaller pieces using dynamic programming.
676. Compute the minimum number of deletions required to make a string a palindrome using dynamic programming.
677. Solve the "Coin Change Problem" where you find the number of distinct ways to make change for a given amount using dynamic programming.
678. Find the longest increasing subsequence in an array using dynamic programming.
679. Compute the minimum number of operations required to convert one string into another using dynamic programming.
680. Solve the "Knapsack Problem" where you maximize the total value of items that can be packed without exceeding the weight limit using dynamic programming.
681. Find the minimum cost to paint a row of houses such that no two adjacent houses can be painted the same color using dynamic programming.
682. Compute the maximum sum of non-adjacent elements in an array using dynamic programming.
683. Solve the "Jump Game II" problem where you need to reach the last index of an array with the minimum number of jumps using dynamic programming.
684. Determine the number of ways to partition a set into k non-empty subsets using dynamic programming.
685. Solve the "Longest Common Substring" problem between two strings using dynamic programming.
686. Find the minimum number of cuts required to partition a string into palindromic substrings using dynamic programming.
687. Compute the maximum product of a contiguous subarray using dynamic programming.
688. Solve the "House Robber II" problem where houses are arranged in a circle, and adjacent houses cannot be robbed using dynamic programming.
689. Find the longest subsequence in an array where the difference between adjacent elements is at most 1 using dynamic programming.
690. Compute the longest common subsequence between two strings using dynamic programming.
691. Solve the "Minimum Path Sum" problem where you need to find the minimum path sum in a grid using dynamic programming.
692. Find the minimum number of jumps required to reach the last index in an array where each element represents the maximum jump length using dynamic programming.
693. Compute the minimum number of operations required to make two strings identical using dynamic programming.
694. Solve the "Egg Dropping Problem" where you minimize the number of egg drops to find the critical floor using dynamic programming.
695. Find the longest palindromic subsequence in a string using dynamic programming.
696. Compute the number of ways to partition a set into k non-empty subsets using dynamic programming.
697. Solve the "Rod Cutting Problem" where you maximize the profit obtained from cutting a rod into smaller pieces using dynamic programming.
698. Find the longest increasing subsequence in an array using dynamic programming.
699. Compute the number of distinct ways to decode a string where digits represent letters (A = 1, B = 2, ..., Z = 26) using dynamic programming.
700. Solve the "House Robber Problem" where adjacent houses cannot be robbed, maximizing the loot using dynamic programming.
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