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src/dynamic_programming/intro-to-dp.md

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@@ -133,7 +133,6 @@ One of the tricks to getting better at dynamic programming is to study some of t
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| Name | Description | Example Poblems |
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| ---------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------- |
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| 0-1 Knapsack | 0-1 Knapsack | given a set of items, each with a weight and a value, and a knapsack with a maximum capacity. | [D - Knapsack 1 (](https://atcoder.jp/contests/dp/tasks/dp_d)[atcoder.jp](http://atcoder.jp)[)](https://atcoder.jp/contests/dp/tasks/dp_d) |
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| 0-1 Knapsack |
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| Subset Sum | you are given a set of integers and a target sum. The task is to determine whether there exists a subset of the given set whose elements sum up to the target sum. | |
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| Longest Increasing Subsequence | It's a problem that asks for the length of the longest subsequence of a given sequence such that all elements of the subsequence are sorted in increasing order. | [Longest Increasing Subsequence - LeetCode](https://leetcode.com/problems/longest-increasing-subsequence/description/) |
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| Counting all possible paths in a matrix. | Solved using dynamic programming or recursion with memoization. | [Unique Paths - LeetCode](https://leetcode.com/problems/unique-paths/description/) |

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