Topic: dynamic-programming-problem / Level: beginner

• 751. Determine the minimum number of operations required to convert one string into another using dynamic programming.
• 752. Find the number of distinct ways to decode a string of digits where each digit maps to a letter (A = 1, B = 2, ..., Z = 26) using dynamic programming.
• 753. Solve the "Longest Common Subsequence" problem between two strings using dynamic programming.
• 754. Compute the number of ways to partition a set into k non-empty subsets using dynamic programming.
• 755. Find the longest alternating subsequence in an array where elements alternately increase and decrease using dynamic programming.
• 756. Solve the "Egg Dropping Problem" where you minimize the number of trials needed to find the critical floor using dynamic programming.
• 757. Determine the minimum cost to paint a row of houses such that no two adjacent houses have the same color using dynamic programming.
• 758. Find the longest subsequence in an array where adjacent elements have a difference of exactly 1 using dynamic programming.
• 759. Compute the minimum number of operations required to reduce a number to 1 using dynamic programming.
• 760. Solve the "House Robber Problem" where you maximize the profit when adjacent houses cannot be robbed using dynamic programming.
• 761. Find the longest palindromic substring in a string using dynamic programming.
• 762. Compute the minimum number of deletions required to make two strings identical using dynamic programming.
• 763. Solve the "Coin Change Problem" where you need to find the minimum number of coins required to make a given amount using dynamic programming.
• 764. Find the longest bitonic subsequence in an array where the subsequence first increases and then decreases using dynamic programming.
• 765. Solve the "Matrix Chain Multiplication Problem" where you minimize the number of scalar multiplications using dynamic programming.
• 766. Compute the minimum number of operations required to make two strings identical using dynamic programming.
• 767. Find the longest common substring between two strings using dynamic programming.
• 768. Solve the "Partition Problem" where you determine if a set can be partitioned into two subsets with equal sums using dynamic programming.
• 769. Compute the maximum sum of a subsequence where no two elements are adjacent using dynamic programming.
• 770. Find the number of distinct ways to climb a staircase where you can take either 1, 2, or 3 steps using dynamic programming.
• 771. Solve the "Longest Palindromic Subsequence" problem where you need to find the longest palindromic subsequence in a string using dynamic programming.
• 772. Determine the number of distinct ways to partition a set into k non-empty subsets using dynamic programming.
• 773. Find the minimum number of operations required to convert one string into another using dynamic programming.
• 774. Solve the "Knapsack Problem" where repetition of items is allowed to maximize the total value without exceeding the weight limit using dynamic programming.
• 775. Compute the number of ways to decode a message where digits represent letters using dynamic programming.
• 776. Find the longest common subsequence between two strings using dynamic programming.
• 777. Solve the "Rod Cutting Problem" where you maximize the revenue from cutting a rod into smaller pieces using dynamic programming.
• 778. Determine the minimum number of steps required to reduce a number to 1 using dynamic programming.
• 779. Find the minimum number of deletions required to make a string a palindrome using dynamic programming.
• 780. Solve the "Longest Increasing Subsequence" problem where you find the longest increasing subsequence in an array using dynamic programming.
• 781. Compute the minimum number of cuts required to partition a string into palindromic substrings using dynamic programming.
• 782. Find the number of ways to partition an array into two subsets with equal sums using dynamic programming.
• 783. Solve the "House Robber II" problem where houses are arranged in a circle, and adjacent houses cannot be robbed using dynamic programming.
• 784. Compute the longest alternating subsequence in an array where the elements alternately increase and decrease using dynamic programming.
• 785. Find the number of distinct ways to partition a set of elements into two subsets with equal sums using dynamic programming.
• 786. Solve the "Coin Change Problem" where you need to find the number of distinct ways to make change for a given amount using dynamic programming.
• 787. Compute the maximum sum of a contiguous subarray using dynamic programming (Kadanes Algorithm).
• 788. Find the longest palindromic subsequence in a string using dynamic programming.
• 789. Solve the "Egg Dropping Problem" where you minimize the number of egg drops needed to find the critical floor using dynamic programming.
• 790. Determine the minimum number of cuts required to partition a string into palindromic substrings using dynamic programming.
• 791. Compute the minimum cost to paint a row of houses such that no two adjacent houses have the same color using dynamic programming.
• 792. Find the number of distinct subsequences in a string that match a given pattern using dynamic programming.
• 793. 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.
• 794. Compute the minimum number of deletions required to make two strings identical using dynamic programming.
• 795. Find the longest increasing subsequence in an array using dynamic programming.
• 796. Solve the "House Robber Problem" where adjacent houses cannot be robbed, maximizing the profit using dynamic programming.
• 797. Compute the longest common subsequence between two strings using dynamic programming.
• 798. Find the number of distinct ways to partition a set into k non-empty subsets using dynamic programming.
• 799. Solve the "Rod Cutting Problem" where you maximize the revenue from cutting a rod into smaller pieces using dynamic programming.
• 800. Determine the minimum number of operations required to convert one string into another using dynamic programming.

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