2407. Longest Increasing Subsequence II
Read the full problem statement on LeetCode.
Difficulty: hard Acceptance: 25% Topics: Array, Divide and Conquer, Dynamic Programming, Binary Indexed Tree, Segment Tree, Queue, Monotonic Queue
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Reference solution (spoiler · python)
# Time: O(nlogn)
# Space: O(n)
import bisect
# Range Maximum Query
class SegmentTree(object):
def __init__(self, N,
build_fn=lambda _: 0,
query_fn=lambda x, y: y if x is None else x if y is None else max(x, y),
update_fn=lambda x: x):
self.tree = [None]*(2*2**((N-1).bit_length()))
self.base = len(self.tree)//2
self.query_fn = query_fn
self.update_fn = update_fn
for i in xrange(self.base, self.base+N):
self.tree[i] = build_fn(i-self.base)
for i in reversed(xrange(1, self.base)):
self.tree[i] = query_fn(self.tree[2*i], self.tree[2*i+1])
def update(self, i, h):
x = self.base+i
self.tree[x] = self.update_fn(h)
while x > 1:
x //= 2
self.tree[x] = self.query_fn(self.tree[x*2], self.tree[x*2+1])
def query(self, L, R):
if L > R:
return 0
L += self.base
R += self.base
left = right = None
while L <= R:
if L & 1:
left = self.query_fn(left, self.tree[L])
L += 1
if R & 1 == 0:
right = self.query_fn(self.tree[R], right)
R -= 1
L //= 2
R //= 2
return self.query_fn(left, right)
# segment tree with coordinate compression
class Solution(object):
def lengthOfLIS(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: int
"""
sorted_nums = sorted({x-1 for x in nums})
num_to_idx = {x:i for i, x in enumerate(sorted_nums)}
st = SegmentTree(len(num_to_idx))
for x in nums:
x -= 1
st.update(num_to_idx[x], st.query(bisect.bisect_left(sorted_nums, x-k), num_to_idx[x]-1)+1)
return st.tree[1] # st.query(0, len(num_to_idx)-1)
Solution from kamyu104/LeetCode-Solutions · MIT
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