Entities¶
Constr
¶
Graph
¶
The graph class.
Graphs are created by adding them to a model using the the addGraph method.
idx: int
property
¶
The unique id of the graph in the model.
m: int
property
¶
The number of edges.
n: int
property
¶
The number of vertices.
sink: int
property
¶
The sink vertex of the graph.
source: int
property
¶
The source vertex of the graph.
vars: List[Var]
property
¶
The edge variables associated to the graph
LinEqua
¶
Class to represent linear equations.
Equations are primarily used as temporary objects when adding linear expressions to models. It should not be necessary to use them by themselves.
The equation consists of an LinExpr and a ConstrSense such that
expr = 2 * x + 3 * y + 6
equa = LinEqua(expr, 'L') # 2 * x + 3 * y <= 6
equa = expr <= 0 # 2 * x + 3 * y <= 6
The LinEqua derives from LinExpr and can be manipulated in the same fashion.
coefs: List[float]
property
¶
A list of the coefficients.
rhs: float
property
¶
The right-hand-side.
sense: float
property
¶
The right-hand-side.
vars: List[Var]
property
¶
A list of the variables.
__init__(expr, sense=ConstrSense.Equal, rhs=0)
¶
Initialize linear equation
Parameters:
Name | Type | Description | Default |
---|---|---|---|
expr |
Union[LinExpr, LinEqua]
|
An expression or copy from another equation |
required |
sense |
ConstrSense
|
The constraints sense as either Equal, LessOrEqual, or GreaterOrEqual. |
ConstrSense.Equal
|
LinExpr
¶
Class to represent linear expressions.
Expressions are operator overloaded so it is possible to do
expr = 2 * x - y + 4
expr += 3 * z
expr *= 2
expr += otherExpr
coefs: List[float]
property
¶
A list of the coefficients.
constant: float
property
¶
The constant term.
vars: List[Var]
property
¶
A list of the variables.
__init__(coefs=[], vars=[], constant=0.0)
¶
Initialize linear expression
Parameters:
Name | Type | Description | Default |
---|---|---|---|
coefs |
List[float]
|
List of coefficients. |
[]
|
vars |
List[Var]
|
List of variables. |
[]
|
constant |
float
|
A constant term |
0.0
|
Raises:
Type | Description |
---|---|
ValueError
|
If |
addConstant(constant)
¶
Adds a constant to the linear expression.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
constant |
float
|
The constant to add. |
required |
Path
¶
The path class.
Paths represents a list of edge variables for a graph in a solution. Obtain the paths of a solution using the path property.
graphIdx: int
property
¶
The id of the graph the path is associated to.
idx: int
property
¶
The unique id of the path in a solution.
obj: float
property
¶
The objective coefficient.
vars: List[Var]
property
¶
The edge variables associated to the path.
x: float
property
¶
The value in the current solution.
Solution
¶
Var
¶
The variable class.
Variables are created by adding variables to a model using the either the addVar method to create a single variable or the addGraph method to add a graph with corresponding edge variables stored in the Graph.vars property.
For an edge variable this class offers the possibility to query for source and target vertices or the edge in the graph.
edge: Tuple[int, int]
property
¶
The edge of a edge variable.
Raises:
Type | Description |
---|---|
ValueError
|
If the variable is not associated with a graph. |
graphIdx: int
property
¶
The id of the graph the variable is associated to.
Raises:
Type | Description |
---|---|
ValueError
|
If the variable is not associated with a graph. |
idx: int
property
¶
The unique id of the variable in the model.
lb: float
property
¶
The lower bound.
name: str
property
¶
The variable name.
obj: float
property
¶
The objective coefficient.
source: int
property
¶
The source vertex of a edge variable.
Raises:
Type | Description |
---|---|
ValueError
|
If the variable is not associated with a graph. |
target: int
property
¶
The target vertex of a edge variable.
Raises:
Type | Description |
---|---|
ValueError
|
If the variable is not associated with a graph. |
ub: float
property
¶
The upper bound.
x: float
property
¶
The value in the best solution
xn(n)
¶
The value in the n'th solution