182 lines
5.1 KiB
Plaintext
182 lines
5.1 KiB
Plaintext
---
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title: OptimizationResult
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description: API reference for qiskit.optimization.algorithms.OptimizationResult
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in_page_toc_min_heading_level: 1
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python_api_type: class
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python_api_name: qiskit.optimization.algorithms.OptimizationResult
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---
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# OptimizationResult
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<Class id="qiskit.optimization.algorithms.OptimizationResult" isDedicatedPage={true} github="https://github.com/qiskit-community/qiskit-aqua/tree/stable/0.9/qiskit/optimization/algorithms/optimization_algorithm.py" signature="OptimizationResult(x, fval, variables, status, raw_results=None, samples=None)" modifiers="class">
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Bases: `object`
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A base class for optimization results.
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The optimization algorithms return an object of the type `OptimizationResult` with the information about the solution obtained.
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`OptimizationResult` allows users to get the value of a variable by specifying an index or a name as follows.
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**Examples**
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```python
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>>> from qiskit.optimization import QuadraticProgram
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>>> from qiskit.optimization.algorithms import CplexOptimizer
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>>> problem = QuadraticProgram()
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>>> _ = problem.binary_var('x1')
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>>> _ = problem.binary_var('x2')
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>>> _ = problem.binary_var('x3')
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>>> problem.minimize(linear={'x1': 1, 'x2': -2, 'x3': 3})
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>>> print([var.name for var in problem.variables])
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['x1', 'x2', 'x3']
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>>> optimizer = CplexOptimizer()
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>>> result = optimizer.solve(problem)
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>>> print(result.variable_names)
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['x1', 'x2', 'x3']
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>>> print(result.x)
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[0. 1. 0.]
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>>> print(result[1])
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1.0
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>>> print(result['x1'])
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0.0
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>>> print(result.fval)
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-2.0
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>>> print(result.variables_dict)
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{'x1': 0.0, 'x2': 1.0, 'x3': 0.0}
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```
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<Admonition title="Note" type="note">
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The order of variables should be equal to that of the problem solved by optimization algorithms. Optimization algorithms and converters of `QuadraticProgram` should maintain the order when generating a new `OptimizationResult` object.
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</Admonition>
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**Parameters**
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* **x** (`Union`\[`List`\[`float`], `ndarray`, `None`]) – the optimal value found in the optimization, or possibly None in case of FAILURE.
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* **fval** (`float`) – the optimal function value.
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* **variables** (`List`\[`Variable`]) – the list of variables of the optimization problem.
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* **raw\_results** (`Optional`\[`Any`]) – the original results object from the optimization algorithm.
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* **status** (`OptimizationResultStatus`) – the termination status of the optimization algorithm.
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* **samples** (`Optional`\[`List`\[`SolutionSample`]]) – the solution samples.
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**Raises**
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[**QiskitOptimizationError**](qiskit.optimization.QiskitOptimizationError "qiskit.optimization.QiskitOptimizationError") – if sizes of `x` and `variables` do not match.
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## Attributes
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### fval
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<Attribute id="qiskit.optimization.algorithms.OptimizationResult.fval">
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Returns the optimal function value.
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**Return type**
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`float`
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**Returns**
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The function value corresponding to the optimal value found in the optimization.
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</Attribute>
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### raw\_results
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<Attribute id="qiskit.optimization.algorithms.OptimizationResult.raw_results">
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Return the original results object from the optimization algorithm.
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Currently a dump for any leftovers.
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**Return type**
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`Any`
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**Returns**
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Additional result information of the optimization algorithm.
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</Attribute>
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### samples
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<Attribute id="qiskit.optimization.algorithms.OptimizationResult.samples">
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Returns the list of solution samples
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**Return type**
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`List`\[`SolutionSample`]
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**Returns**
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The list of solution samples.
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</Attribute>
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### status
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<Attribute id="qiskit.optimization.algorithms.OptimizationResult.status">
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Returns the termination status of the optimization algorithm.
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**Return type**
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`OptimizationResultStatus`
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**Returns**
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The termination status of the algorithm.
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</Attribute>
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### variable\_names
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<Attribute id="qiskit.optimization.algorithms.OptimizationResult.variable_names">
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Returns the list of variable names of the optimization problem.
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**Return type**
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`List`\[`str`]
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**Returns**
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The list of variable names of the optimization problem.
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</Attribute>
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### variables
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<Attribute id="qiskit.optimization.algorithms.OptimizationResult.variables">
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Returns the list of variables of the optimization problem.
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**Return type**
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`List`\[`Variable`]
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**Returns**
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The list of variables.
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</Attribute>
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### variables\_dict
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<Attribute id="qiskit.optimization.algorithms.OptimizationResult.variables_dict">
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Returns the optimal value as a dictionary of the variable name and corresponding value.
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**Return type**
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`Dict`\[`str`, `float`]
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**Returns**
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The optimal value as a dictionary of the variable name and corresponding value.
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</Attribute>
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### x
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<Attribute id="qiskit.optimization.algorithms.OptimizationResult.x">
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Returns the optimal value found in the optimization or None in case of FAILURE.
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**Return type**
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`Optional`\[`ndarray`]
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**Returns**
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The optimal value found in the optimization.
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</Attribute>
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</Class>
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