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feat: Revised the book (#978)
* Sync recent changes to the revised Word. * Revised the preface chapter * Revised the introduction chapter * Revised the computation complexity chapter * Revised the chapter data structure * Revised the chapter array and linked list * Revised the chapter stack and queue * Revised the chapter hashing * Revised the chapter tree * Revised the chapter heap * Revised the chapter graph * Revised the chapter searching * Reivised the sorting chapter * Revised the divide and conquer chapter * Revised the chapter backtacking * Revised the DP chapter * Revised the greedy chapter * Revised the appendix chapter * Revised the preface chapter doubly * Revised the figures
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@ -16,7 +16,7 @@ class GraphAdjList:
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def __init__(self, edges: list[list[Vertex]]):
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"""构造方法"""
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# 邻接表,key: 顶点,value:该顶点的所有邻接顶点
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# 邻接表,key:顶点,value:该顶点的所有邻接顶点
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self.adj_list = dict[Vertex, list[Vertex]]()
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# 添加所有顶点和边
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for edge in edges:
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@ -62,7 +62,7 @@ class GraphAdjMat:
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# 索引越界与相等处理
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if i < 0 or j < 0 or i >= self.size() or j >= self.size() or i == j:
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raise IndexError()
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# 在无向图中,邻接矩阵沿主对角线对称,即满足 (i, j) == (j, i)
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# 在无向图中,邻接矩阵关于主对角线对称,即满足 (i, j) == (j, i)
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self.adj_mat[i][j] = 1
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self.adj_mat[j][i] = 1
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@ -29,7 +29,7 @@ def graph_bfs(graph: GraphAdjList, start_vet: Vertex) -> list[Vertex]:
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# 遍历该顶点的所有邻接顶点
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for adj_vet in graph.adj_list[vet]:
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if adj_vet in visited:
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continue # 跳过已被访问过的顶点
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continue # 跳过已被访问的顶点
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que.append(adj_vet) # 只入队未访问的顶点
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visited.add(adj_vet) # 标记该顶点已被访问
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# 返回顶点遍历序列
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@ -19,7 +19,7 @@ def dfs(graph: GraphAdjList, visited: set[Vertex], res: list[Vertex], vet: Verte
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# 遍历该顶点的所有邻接顶点
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for adjVet in graph.adj_list[vet]:
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if adjVet in visited:
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continue # 跳过已被访问过的顶点
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continue # 跳过已被访问的顶点
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# 递归访问邻接顶点
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dfs(graph, visited, res, adjVet)
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