自回避多边形(Self-Avoiding Polygon)是指在M x N大小的格网上生成的多边形,其所有边都不相交,且多边形的每条边都只与格网的边平行或垂直。生成自回避多边形是一个复杂的问题,涉及到随机游走和图论的概念。
一种常见的方法是使用随机游走算法,具体步骤如下:
以下是一个简单的Python示例,用于在M x N的格网上生成自回避多边形:
import random
def is_valid_move(x, y, M, N, visited):
return 0 <= x < M and 0 <= y < N and not visited[x][y]
def generate_self_avoiding_polygon(M, N):
visited = [[False] * N for _ in range(M)]
directions = [(0, 1), (1, 0), (0, -1), (-1, 0)] # Right, Down, Left, Up
# Start at a random point
x, y = random.randint(0, M-1), random.randint(0, N-1)
visited[x][y] = True
path = [(x, y)]
while True:
next_moves = []
for dx, dy in directions:
nx, ny = x + dx, y + dy
if is_valid_move(nx, ny, M, N, visited):
next_moves.append((nx, ny))
if not next_moves:
break
nx, ny = random.choice(next_moves)
visited[nx][ny] = True
path.append((nx, ny))
x, y = nx, ny
# Check if we have returned to the start
if (x, y) == path[0] and len(path) > 3:
break
return path
# Example usage
M, N = 10, 10
polygon = generate_self_avoiding_polygon(M, N)
print(polygon)
通过上述方法和代码示例,可以在M x N大小的格网上生成自回避多边形,并解决常见的生成问题。
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