An implementation technique for doing dynamic programming with sets as the domain. . N=24 is about .
Before computing a value for a set S, we want the value for a set S with one element removed from it to be determined. In other words, I want to topologically sort a graph that considers the relation “one element removed” as a directed edge and compute it in that order. If we map “contains element i” of the set to “the i-th bit is 1” of the integers, then the natural ordering of the integers is also the topological sorting of the graph.
As mask = 1 << i
.
- :
S & mask
- At that time :
S ^ mask
.
- At that time :
Example: TSP python
def solve_tsp(num_vertex, distance):
import sys
INF = sys.maxsize
SIZE = 2 ** num_vertex
memo = [[INF] * num_vertex for _i in range(SIZE)]
memo[0][0] = 0
for subset in range(1, SIZE):
for v in range(num_vertex):
for u in range(num_vertex):
mask = 1 << u
if subset & mask:
memo[subset][v] = min(
memo[subset][v],
memo[subset ^ mask][u] + distance[u][v])
return memo[-1][0]
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