1 solution.Solution

solution.Solution(
    status,
    objective_value=None,
    values=dict(),
    multipliers=None,
    iterations=None,
    message='',
    solve_time=None,
)

Result of solving an optimization problem.

1.1 Attributes

Name	Type	Description
status	SolverStatus	Solver termination status.
objective_value	float | None	Optimal objective function value (None if not solved).
values	dict[str, float]	Dictionary mapping variable names to optimal values.
multipliers	dict[str, float] | None	Lagrange multipliers for constraints (if available).
iterations	int | None	Number of solver iterations.
message	str	Solver message or error description.
solve_time	float | None	Time taken to solve (seconds).

1.2 Methods

Name	Description
get	Get the optimal value of a variable with a default.

1.2.1 get

solution.Solution.get(var, default=None)

Get the optimal value of a variable with a default.

For scalar Variable: returns float. For VectorVariable: returns 1D numpy array. For MatrixVariable: returns 2D numpy array.

1.2.1.1 Parameters

Name	Type	Description	Default
var	Variable | VectorVariable | MatrixVariable | str	Variable, VectorVariable, MatrixVariable, or variable name.	required
default	float | NDArray[np.floating] | None	Value to return if variable not found.	None

1.2.1.2 Returns

Name	Type	Description
	float | NDArray[np.floating] | None	The optimal value(s) or default.