Functions | |
def | gcp (V, E, K) |
def | gcp_low (V, E, K) |
def | gcp_sos (V, E, K) |
def | make_data (n, prob) |
Variables | |
dictionary | color = {} |
dictionary | cpu = {} |
E | |
int | K = 10 |
def | model = gcp_low(V, E, K) |
list | models = [gcp, gcp_low, gcp_sos] |
int | N = 25 |
name = m.__name__ | |
tend = time.time() | |
tinit = time.time() | |
V | |
def | x = model.data |
def gcp.gcp | ( | V, | |
E, | |||
K | |||
) |
gcp -- model for minimizing the number of colors in a graph Parameters: - V: set/list of nodes in the graph - E: set/list of edges in the graph - K: upper bound on the number of colors Returns a model, ready to be solved.
Definition at line 10 of file gcp.py.
References pyscipopt.expr.quicksum().
def gcp.gcp_low | ( | V, | |
E, | |||
K | |||
) |
gcp_low -- model for minimizing the number of colors in a graph (use colors with low indices) Parameters: - V: set/list of nodes in the graph - E: set/list of edges in the graph - K: upper bound to the number of colors Returns a model, ready to be solved.
Definition at line 38 of file gcp.py.
References pyscipopt.expr.quicksum().
def gcp.gcp_sos | ( | V, | |
E, | |||
K | |||
) |
gcp_sos -- model for minimizing the number of colors in a graph (use sos type 1 constraints) Parameters: - V: set/list of nodes in the graph - E: set/list of edges in the graph - K: upper bound to the number of colors Returns a model, ready to be solved.
Definition at line 70 of file gcp.py.
References pyscipopt.expr.quicksum().
def gcp.make_data | ( | n, | |
prob | |||
) |