three graph
时间: 2024-07-12 07:01:35 浏览: 86
"Three graphs"这个表述可能不准确或不太常见,因为通常我们谈论的是单数的"graph",即图论中的图形。如果是指三个不同类型的图,那么可能是指:
1. **无向图(Undirected Graph)**:没有方向的边连接节点,如社交网络中的人际关系。
2. **有向图(Directed Graph)**:边有方向,例如网页链接中的从A到B的链接。
3. **加权图(Weighted Graph)**:边具有权重值,用于表示距离、成本等量化的信息。
如果你指的是其他含义或具体的问题,请提供更多的上下文,我会更好地帮助你理解。
相关问题
Consider a problem to find the shortest path from a given starting node s to any other nodes in the (undirected) graph. The length of a path in the graph is the number of edges included. Complete the function shortest_path(adj_list, s), which takes the adjacency list of the graph and a starting node as input, and returns a list containing the length of the shortest path from the starting node to all other nodes. Note: If there is no path from the starting node to a node, set the length of shortest path as float('inf'). You can use any Python built-in package to implement the stack/queue/priority queue if needed. Hint: Consider the three graph traversal strategies (DFS, BFS and PFS) discussed in the class. Which one is applicable in this problem? For example: Test Result adj_list = [[], [2, 3], [1, 4], [1], [2]] d = shortest_path(adj_list, 0) print(d) d = shortest_path(adj_list, 2) print(d) [0, inf, inf, inf, inf] [inf, 1, 0, 2, 1]
To find the shortest path from a given starting node s to any other nodes in the (undirected) graph, we can use Breadth-First Search (BFS) algorithm. The basic idea of BFS is to explore all the vertices at distance 1 from the current vertex before moving on to vertices at distance 2.
Here is the implementation of the shortest_path function using BFS algorithm:
```
from collections import deque
def shortest_path(adj_list, s):
n = len(adj_list)
visited = [False] * n
distance = [float('inf')] * n
distance[s] = 0
queue = deque([s])
while queue:
u = queue.popleft()
visited[u] = True
for v in adj_list[u]:
if not visited[v]:
visited[v] = True
distance[v] = distance[u] + 1
queue.append(v)
for i in range(n):
if not visited[i]:
distance[i] = float('inf')
return distance
```
In the above code, we first initialize two lists: visited and distance. The visited list is used to keep track of the visited nodes and the distance list is used to store the shortest distance from the starting node to all other nodes. We initialize all the distances as infinity except the distance of the starting node which is set to 0.
We then use a deque (double-ended queue) to implement the BFS algorithm. We start by adding the starting node to the queue. Then, while the queue is not empty, we remove a vertex u from the front of the queue and mark it as visited. We then iterate over all the neighbors v of u and if v is not visited, we mark it as visited, update its distance from the starting node and add it to the end of the queue.
Finally, we check if there are any nodes that were not visited during the BFS traversal and set their distance as infinity. We then return the distance list.
Let's use the above code to solve the given example:
```
adj_list = [[], [2, 3], [1, 4], [1], [2]]
d = shortest_path(adj_list, 0)
print(d) # Output: [0, inf, inf, inf, inf]
d = shortest_path(adj_list, 2)
print(d) # Output: [inf, 1, 0, 2, 1]
```
In the first test case, the starting node is 0 and there are no edges connected to it. Hence, the distance to all other nodes is infinity.
In the second test case, the starting node is 2 and the shortest path to node 2 is 0 (itself). The shortest path to node 1 is 1 (through node 2), the shortest path to node 3 is 2 (through nodes 2 and 1), and the shortest path to node 4 is 1 (through node 2).
three.js原理
three.js是一个基于WebGL的JavaScript库,用于创建复杂的3D图形和动画在浏览器中运行。它的核心原理主要依赖以下几个关键组件:
1. **WebGL**:WebGL是一种在HTML5中嵌入的低级图形API,它允许在浏览器中直接操作计算机的图形硬件,从而实现高性能的3D渲染。
2. **场景图(Scene Graph)**:three.js构建了一个场景图的概念,将3D对象组织为节点,包括相机、光源、几何体(如立方体、球体等)、材质和纹理。这些元素相互关联,形成一个3D空间。
3. **几何体和材质**:three.js提供了各种几何体对象,如Mesh(网格),LineGeometry(线框几何体)等,用户可以根据需求创建和定制。材质决定了物体的外观,比如颜色、光泽度等。
4. **动画和交互**:通过使用Animation对象和事件处理机制,用户可以实现对象的运动和交互效果。three.js支持帧动画、骨骼动画等多种动画形式。
5. **相机和渲染器**:Camera用于定义视角,而Renderer负责实际的渲染工作。用户可以通过设置相机的位置、旋转等参数来控制视点。