Initializing help system before first use

xpress.var

Description

Class representing optimization variables.

Variables are created using problem.addVariable or problem.addVariables.


Attributes
name 
Name of the variable.
vartype 
Type of the variable, one among the following:
xpress.continuous 
for continuous variables;
xpress.binary 
for binary variables;
xpress.integer 
for integer variables;
xpress.semicontinuous 
for semi-continuous variables;
xpress.semiinteger 
for semi-integer variables;
xpress.partiallyinteger 
for partially integer variables.
lb 
Lower bound of the variable.
ub 
Upper bound of the variable.
threshold 
Threshold for semi-continuous, semi-integer, and partially integer variables.
Constructors
x = xpress.var(name=None, lb=0, ub=xpress.infinity, threshold=1, vartype=xpress.continuous) (deprecated)
Related topics
problem.addVariable, problem.addVariables, xpress.vars.

Constructor detail
xpress.var
Synopsis
x = xpress.var(name=None, lb=0, ub=xpress.infinity, threshold=1, vartype=xpress.continuous) (deprecated)
Use problem.addVariable to add linked variables to the problem instead.
Arguments
name 
A Python UTF-8 string containing the name of the variable; a default name is assigned if the user does not specify it.
lb 
Lower bound (0 by default).
ub 
Upper bound (+infinity by default).
threshold 
The threshold for semi-continuous, semi-integer, and partially integer variables.
vartype 
Type of the variable, one among the following:
xpress.continuous 
for continuous variables;
xpress.binary 
for binary variables;
xpress.integer 
for integer variables;
xpress.semicontinuous 
for semi-continuous variables;
xpress.semiinteger 
for semi-integer variables;
xpress.partiallyinteger 
for partially integer variables.
Description
Unlinked variables are not tied to a problem but may exist globally in a Python program. In order for them to be included into a problem, they have to be explicitly added to that problem using problem.addVariable. Unlinked variables are deprecated.
Example
One or more variables (or vectors of variables) can be added to a problem with the addVariable method: 
v = xp.var(lb=-1, ub=2)
m.addVariable (v)

x = [xp.var(ub=10) for i in range(10)]
y = [xp.var(ub=10, vartype=xp.integer) for i in range(10)]
m.addVariable(x,y)

Parent Topic Xpress base classes

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