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relocated lis to dp section/add redirect + add relevant links to intro-to_dp#1457

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6 changes: 3 additions & 3 deletionssrc/dynamic_programming/intro-to-dp.md
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Expand Up@@ -132,9 +132,9 @@ One of the tricks to getting better at dynamic programming is to study some of t
## Classic Dynamic Programming Problems
| Name | Description/Example |
| ---------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0-1 Knapsack | Given $W$, $N$, and $N$ items with weights $w_i$ and values $v_i$, what is the maximum $\sum_{i=1}^{k} v_i$ for each subset of items of size $k$ ($1 \le k \le N$) while ensuring $\sum_{i=1}^{k} w_i \le W$? |
|[0-1 Knapsack](https://cp-algorithms.com/dynamic_programming/knapsack.html) | Given $W$, $N$, and $N$ items with weights $w_i$ and values $v_i$, what is the maximum $\sum_{i=1}^{k} v_i$ for each subset of items of size $k$ ($1 \le k \le N$) while ensuring $\sum_{i=1}^{k} w_i \le W$? |
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|[0-1 Knapsack](https://cp-algorithms.com/dynamic_programming/knapsack.html)| Given $W$, $N$, and $N$ items with weights $w_i$ and values $v_i$, what is the maximum $\sum_{i=1}^{k} v_i$ for each subset of items of size $k$ ($1 \le k \le N$) while ensuring $\sum_{i=1}^{k} w_i \le W$?|
|[0-1 Knapsack](../dynamic_programming/knapsack.md)| Given $W$, $N$, and $N$ items with weights $w_i$ and values $v_i$, what is the maximum $\sum_{i=1}^{k} v_i$ for each subset of items of size $k$ ($1 \le k \le N$) while ensuring $\sum_{i=1}^{k} w_i \le W$?|

| Subset Sum | Given $N$ integers and $T$, determine whether there exists a subset of the given set whose elements sum up to the $T$. |
| Longest Increasing Subsequence (LIS) | You are given an array containing $N$ integers. Your task is to determine the LIS in the array, i.e., a subsequence where every element is larger than the previous one. |
|[Longest Increasing Subsequence (LIS)](https://cp-algorithms.com/dynamic_programming/longest_increasing_subsequence.html) | You are given an array containing $N$ integers. Your task is to determine the LIS in the array, i.e., a subsequence where every element is larger than the previous one. |
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|[Longest Increasing Subsequence (LIS)](https://cp-algorithms.com/dynamic_programming/longest_increasing_subsequence.html)| You are given an array containing $N$ integers. Your task is to determine the LIS in the array, i.e., a subsequence where every element is larger than the previous one.|
|[Longest Increasing Subsequence (LIS)](../dynamic_programming/longest_increasing_subsequence.md)| You are given an array containing $N$ integers. Your task is to determine the LIS in the array, i.e., a subsequence where every element is larger than the previous one.|

| Counting Paths in a 2D Array | Given $N$ and $M$, count all possible distinct paths from $(1,1)$ to $(N, M)$, where each step is either from $(i,j)$ to $(i+1,j)$ or $(i,j+1)$. |
| Longest Common Subsequence | You are given strings $s$ and $t$. Find the length of the longest string that is a subsequence of both $s$ and $t$. |
| Longest Path in a Directed Acyclic Graph (DAG) | Finding the longest path in Directed Acyclic Graph (DAG). |
Expand All@@ -143,7 +143,7 @@ One of the tricks to getting better at dynamic programming is to study some of t
| Edit Distance | The edit distance between two strings is the minimum number of operations required to transform one string into the other. Operations are ["Add", "Remove", "Replace"] |

## Related Topics
* Bitmask Dynamic Programming
*[Bitmask Dynamic Programming](https://cp-algorithms.com/dynamic_programming/profile-dynamics.html)
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*[Bitmask Dynamic Programming](https://cp-algorithms.com/dynamic_programming/profile-dynamics.html)
*[Bitmask Dynamic Programming](../dynamic_programming/profile-dynamics.md)

* Digit Dynamic Programming
* Dynamic Programming on Trees

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