Floyd Warshall algorithm is a great algorithm for finding shortest distance between all vertices in graph. It has a very concise algorithm and O(V^3) time complexity (where V is number of vertices). It can be used with negative weights, although negative weight cycles must not be present in the graph.

### Evaluation

Space Complexity: O(V^2)

Worse Case Time Complexity: O(V^3)

### Python implementation

```
# A large value as infinity
inf = 1e10
def floyd_warshall(weights):
V = len(weights)
distance_matrix = weights
for k in range(V):
next_distance_matrix = [list(row) for row in distance_matrix] # make a copy of distance matrix
for i in range(V):
for j in range(V):
# Choose if the k vertex can work as a path with shorter distance
next_distance_matrix[i][j] = min(distance_matrix[i][j], distance_matrix[i][k] + distance_matrix[k][j])
distance_matrix = next_distance_matrix # update
return distance_matrix
# A graph represented as Adjacency matrix
graph = [
[0, inf, inf, -3],
[inf, 0, inf, 8],
[inf, 4, 0, -2],
[5, inf, 3, 0]
]
print(floyd_warshall(graph))
```