Hold on, Jamie! I’ve got just the thing to get you to class on time: Dijkstra's Algorithm!
Ugh, I’m gonna be late for Professor Lin’s lecture again! It's 9:05 AM already!
Ugh, I’m gonna be late for Professor Lin’s lecture again! It's 9:05 AM already!
फिसलना: 2
import heapqdef dijkstra(graph, start): dist = {node: float('inf') for node in graph} dist[start] = 0 pq = [(0, start)] while pq: (d, node) = heapq.heappop(pq) for neighbor, weight in graph[node]: new_dist = d + weight if new_dist dist[neighbor]: dist[neighbor] = new_dist heapq.heappush(pq, (new_dist, neighbor)) return dist
फिसलना: 3
import heapqdef dijkstra(graph, start): dist = {node: float('inf') for node in graph} dist[start] = 0 pq = [(0, start)] while pq: (d, node) = heapq.heappop(pq) for neighbor, weight in graph[node]: new_dist = d + weight if new_dist dist[neighbor]: dist[neighbor] = new_dist heapq.heappush(pq, (new_dist, neighbor)) return dist
Here’s the deal. You’re at Dormitory (A) and need to get to Lecture Hall (Z). The map shows several paths and each one has a travel time in minutes. We can use Dijkstra’s Algorithm to find the quickest route!
40 मिलियन से अधिक स्टोरीबोर्ड बनाए गए
कोई डाउनलोड नहीं, कोई क्रेडिट कार्ड नहीं, और कोशिश करने के लिए किसी लॉगिन की आवश्यकता नहीं है!