[
union find
spanning tree
]
BinarySearch 0883 Connect Cartesian Coordinates
Problem statement
https://binarysearch.com/problems/Connect-Cartesian-Coordinates/
Solution
Equal to Leetcode 1584. Min Cost to Connect All Points
Complexity
It is O(n^2 log n)
for time and O(n^2)
for space.
Code
class DSU:
def __init__(self, N):
self.p = list(range(N))
def find(self, x):
if self.p[x] != x:
self.p[x] = self.find(self.p[x])
return self.p[x]
def union(self, x, y):
xr = self.find(x)
yr = self.find(y)
self.p[xr] = yr
class Solution:
def solve(self, P):
n, edges = len(P), []
for i in range(n):
for j in range(i+1, n):
edges += [(i, j, abs(P[i][0] - P[j][0]) + abs(P[i][1] - P[j][1]))]
dsu, ans = DSU(n), 0
for x, y, w in sorted(edges, key = lambda x:x[2]):
if dsu.find(x) == dsu.find(y): continue
dsu.union(x, y)
ans += w
return ans