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gen_net Scilab Group Scilab function gen_net
NAME
gen_net - generation of a network
CALLING SEQUENCE
g = gen_net(name,directed,v)
g = gen_net()
PARAMETERS
name : string, the name of the graph
directed
: integer, 0 (undirected graph) or 1 (directed graph)
v : row vector with 12 values for defining the network
g : graph list
DESCRIPTION
gen_net generates a network g. The arguments are the name of the graph, a
flag equal to 0 (undirected graph) or to 1 (directed graph) and a vector
describing the network (see below). If no argument are given, a dialog
box for the definition of all the arguments is opened. v must be a row
vector with 12 values. The meaning of the values are: Seed for random:
used for initialization of random generation Number of nodes Number of
sources Number of sinks Minimum cost Maximum cost Input supply
Output supply Minimum capacity Maximum capacity Percentage of edges
with costs: between 0 and 100 Percentage of edges with capacities:
between 0 and 100 The cost of edges without cost are put to minimum
cost. The maximum capacity of edges without capacity are put to maximum
upply The result is a network g built on a planar connected graph, by
using a triangulation method. Moreover, computations are made in order to
have a coherent network. Values of costs and maximum capacities are put
on the edges. Minimum capacities are reduced to 0.
EXAMPLE
v=[1,10,2,1,0,10,100,100,0,100,50,50];
g=gen_net('foo',1,v);
show_graph(g)
// generating using dialogs
g=gen_net();
show_graph(g)
SEE ALSO
mesh2d
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