Longest Odd Pallindromes
Problem Description
Given a string S(consisting of only lower case characters) and Q queries.
In each query you will given an integer i and your task is to find the length of longest odd palindromic substring whose middle index is i. Note:
1.) Assume 1 based indexing.
2.) Longest odd palindrome: A palindrome substring whose length is odd.
Problem Constraints
1<=|s|,Q<=1e5
1<=i<=|s|
Input Format
First argument A is string S.
Second argument B is an array of integers where B[i] denotes the query index of ith query.
Output Format
Return an array of integers where ith integer denotes the answer of ith query.
Is there any better way to solve this question other than brute force, that is, when we generate all the palindromic substrings and check
CodePudding user response:
There is Manacher's algorithm that calculates number of palindromes centered at i-th index in linear time.
After precalculation stage you can answer query in O(1). I changed result array to contain lengths of the longest palindromes centered at every position.
Python code (link contains C one)
def manacher_odd(s):
n = len(s)
odds = []
l, r = 0, -1
for i in range(n):
k = min(odds[l r-i], r-i 1) if i<=r else 1
while (i k < n) and (i-k >= 0) and (s[i k]==s[i-k]):
k = 1
odds.append(k)
if (i k-1 > r):
l, r = i-k 1, i k-1
for i in range(n):
odds[i] = 2 * odds[i] - 1
return odds
print(manacher_odd("abaaaba"))
[1, 3, 1, 7, 1, 3, 1]
CodePudding user response:
There are 2 possible optimizations they might be looking for.
First, you can do an initial run over S first, cleverly building a lookup table, and then your query will just use that, which I think would be faster if B is long.
Alternatively, if not doing a look up, then while you're searching at index i
, you'll potentially search neighboring indexes at the same time. As you check i
, you can also be checking i 1
, i-1
, i 2
, i-2
, etc... as you go, and save that answer for later. This seems the less promising route to me, so I want to dive into the first idea more.
Finally, if B is quite short, then the best answer might be brute force, actually. It's good to know when to keep it simple.
Initial run method
One optimization that comes to mind for a pre-process run is as follows:Search the next unknown index, brute force it by looking forwards and back, while recording the frequency of each letter (including the middle one.) If a palindrome of 1 or 3 was found, move to the next index and repeat.
If a palindrome or 5 or longer was found, calculate mid points of any letters that showed up more than twice which are to the right of the current index.
Any point between the current index and the index of the last palindrome letter that isn't in the mid-points list is a
1
for length.
This means you'll search all the midpoints found in (2). After that, you'll continue searching from the index of the last letter of the palindrome found in (2).