LinearExpression
LinearExpression(quadratic_program, coefficients)
Representation of a linear expression by its coefficients.
Creates a new linear expression.
The linear expression can be defined via an array, a list, a sparse matrix, or a dictionary that uses variable names or indices as keys and stores the values internally as a dok_matrix.
Parameters
- quadratic_program (
Any) – The parent QuadraticProgram. - coefficients (
Union[ndarray,spmatrix,List[float],Dict[Union[int,str],float]]) – The (sparse) representation of the coefficients.
Attributes
coefficients
scipy.sparse.dok.dok_matrix
Returns the coefficients of the linear expression.
Return type
dok_matrix
Returns
The coefficients of the linear expression.
quadratic_program
Any
Returns the parent QuadraticProgram.
Return type
Any
Returns
The parent QuadraticProgram.
Methods
__getitem__
LinearExpression.__getitem__(i)
Returns the i-th coefficient where i can be a variable name or index.
Parameters
i (Union[int, str]) – the index or name of the variable corresponding to the coefficient.
Return type
float
Returns
The coefficient corresponding to the addressed variable.
evaluate
LinearExpression.evaluate(x)
Evaluate the linear expression for given variables.
Parameters
x (Union[ndarray, List, Dict[Union[int, str], float]]) – The values of the variables to be evaluated.
Return type
float
Returns
The value of the linear expression given the variable values.
to_array
LinearExpression.to_array()
Returns the coefficients of the linear expression as array.
Return type
ndarray
Returns
An array with the coefficients corresponding to the linear expression.
to_dict
LinearExpression.to_dict(use_name=False)
Returns the coefficients of the linear expression as dictionary, either using variable names or indices as keys.
Parameters
use_name (bool) – Determines whether to use index or names to refer to variables.
Return type
Dict[Union[int, str], float]
Returns
An dictionary with the coefficients corresponding to the linear expression.