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Update README.md
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<br>
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* graph is a non-linear data structure consisting of vertices and edges.
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* graphs can be represented by adjacent matrices, adjacent lists, and hash table of hash tables.
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* in **undirected graphs**, the edges between any two vertices do not have a direction, indicating a two-way relationship.
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* in **directed graphs**, the edges between any two vertices are directional.
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* in **weighted graphs**, each edge has an associated weight. if the sum of the weights of all edges of a cycle is a negative values, it's a negative weight cycle.
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* the **degree of a vertex** is the number of edges connecting the vertex. in directed, graphs, if the **in-dregree** of a vertex is d, there are **d** directional edges incident to the vertex (and similarly, **out-degree** from the vertex).
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* the **degree of a vertex** is the number of edges connecting the vertex. in directed, graphs, if the **in-dregree** of a vertex is `d`, there are **d** directional edges incident to the vertex (and similarly, **out-degree** from the vertex).
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* with `|V|` the number of vertices and `|E|` is the number of edges, search in a graph (either bfs of dfs) is `O(|V| + |E|)`.
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<br>
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@ -16,6 +24,75 @@
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<br>
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* check **[../trees/#breath-first-search](https://github.com/go-outside-labs/master-python-with-algorithms-py/tree/master/trees#breath-first-search)**
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* and **[../trees/#depth-first-search](https://github.com/go-outside-labs/master-python-with-algorithms-py/tree/master/trees#depth-first-search)**
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#### breath first search
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<br>
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* check **[../trees/#breath-first-search](https://github.com/go-outside-labs/master-algorithms-py/blob/master/trees/README.md#tree-traversal-depth-first-search)**
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<br>
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```python
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def bfs(matrix):
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if not matrix:
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return []
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rows, cols = len(matrix), len(matrix[0])
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visited = set()
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directions = ((0, 1), (0, -1), (1, 0), (-1, 0))
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def traverse(i, j):
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queue = deque([(i, j)])
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while queue:
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curr_i, curr_j = queue.popleft()
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if (curr_i, curr_j) not in visited:
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visited.add((curr_i, curr_j))
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for direction in directions:
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next_i, next_j = curr_i + direction[0], curr_j + direction[1]
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if 0 <= next_i < rows and 0 <= next_j < cols:
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queue.append((next_i, next_j))
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for i in range(rows):
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for j in range(cols):
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traverse(i, j)
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```
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<br>
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----
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#### depth first search
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<br>
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* and **[../trees/#depth-first-search](https://github.com/go-outside-labs/master-algorithms-py/blob/master/trees/README.md#tree-traversal-breath-first-search-level-order)**
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<br>
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```python
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def dfs(matrix):
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if not matrix:
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return []
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rows, cols = len(matrix), len(matrix[0])
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visited = set()
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directions = ((0, 1), (0, -1), (1, 0), (-1, 0))
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def traverse(i, j):
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if (i, j) in visited:
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return
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visited.add((i, j))
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for direction in directions:
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next_i, next_j = i + direction[0], j + direction[1]
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if 0 <= next_i < rows and 0 <= next_j < cols:
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traverse(next_i, next_j)
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for i in range(rows):
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for j in range(cols):
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traverse(i, j)
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```
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