Uh oh!
There was an error while loading.Please reload this page.
- Notifications
You must be signed in to change notification settings - Fork1.8k
relocated lis to dp section/add redirect + add relevant links to intro-to_dp#1457
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to ourterms of service andprivacy statement. We’ll occasionally send you account related emails.
Already on GitHub?Sign in to your account
base:main
Are you sure you want to change the base?
Uh oh!
There was an error while loading.Please reload this page.
Conversation
forgot to save lol
should this link be relative or absolute?
don't know how markdown works
I don't get markdown links...
This technically works but probably the links should be edited to be relative as it won't work exactly correctly with absolute links, but I'm dumb and can't figure it out. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
Thanks! Let's cleanup the links a bit.
@@ -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 $\sum_{i=1}^{k} w_i \le W$? | |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
|[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. | |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
|[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.| |
@@ -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) |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
*[Bitmask Dynamic Programming](https://cp-algorithms.com/dynamic_programming/profile-dynamics.html) | |
*[Bitmask Dynamic Programming](../dynamic_programming/profile-dynamics.md) |
@@ -63,6 +63,7 @@ search: | |||
- Dynamic Programming | |||
- [Introduction to Dynamic Programming](dynamic_programming/intro-to-dp.md) | |||
- [Knapsack Problem](dynamic_programming/knapsack.md) | |||
- [Longest increasing subsequence](dynamic_programming/longest_increasing_subsequence.md) |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
Unless we very deliberately want it to occur in two sections, we should also remove it from Miscellaneous/Sequences.
e_maxx_link: longest_increasing_subseq_log | ||
--- | ||
<meta http-equiv="refresh" content="0; url=/dynamic_programming/longest_increasing_subsequence.html"> |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others.Learn more.
<metahttp-equiv="refresh"content="0; url=/dynamic_programming/longest_increasing_subsequence.html"> | |
<metahttp-equiv="refresh"content="0; url=../dynamic_programming/longest_increasing_subsequence.html"> |
Did I do this right?