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---
title: ADMMOptimizationResult
description: API reference for qiskit.optimization.algorithms.ADMMOptimizationResult
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.optimization.algorithms.ADMMOptimizationResult
---
# ADMMOptimizationResult
<Class id="qiskit.optimization.algorithms.ADMMOptimizationResult" isDedicatedPage={true} github="https://github.com/qiskit-community/qiskit-aqua/tree/stable/0.9/qiskit/optimization/algorithms/admm_optimizer.py" signature="ADMMOptimizationResult(x, fval, variables, state, status)" modifiers="class">
Bases: `qiskit.optimization.algorithms.optimization_algorithm.OptimizationResult`
ADMMOptimization Result.
**Parameters**
* **x** (`ndarray`) the optimal value found by ADMM.
* **fval** (`float`) the optimal function value.
* **variables** (`List`\[`Variable`]) the list of variables of the optimization problem.
* **state** (`ADMMState`) the internal computation state of ADMM.
* **status** (`OptimizationResultStatus`) Termination status of an optimization algorithm
## Attributes
### fval
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.fval">
Returns the optimal function value.
**Return type**
`float`
**Returns**
The function value corresponding to the optimal value found in the optimization.
</Attribute>
### raw\_results
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.raw_results">
Return the original results object from the optimization algorithm.
Currently a dump for any leftovers.
**Return type**
`Any`
**Returns**
Additional result information of the optimization algorithm.
</Attribute>
### samples
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.samples">
Returns the list of solution samples
**Return type**
`List`\[`SolutionSample`]
**Returns**
The list of solution samples.
</Attribute>
### state
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.state">
returns state
**Return type**
`ADMMState`
</Attribute>
### status
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.status">
Returns the termination status of the optimization algorithm.
**Return type**
`OptimizationResultStatus`
**Returns**
The termination status of the algorithm.
</Attribute>
### variable\_names
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.variable_names">
Returns the list of variable names of the optimization problem.
**Return type**
`List`\[`str`]
**Returns**
The list of variable names of the optimization problem.
</Attribute>
### variables
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.variables">
Returns the list of variables of the optimization problem.
**Return type**
`List`\[`Variable`]
**Returns**
The list of variables.
</Attribute>
### variables\_dict
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.variables_dict">
Returns the optimal value as a dictionary of the variable name and corresponding value.
**Return type**
`Dict`\[`str`, `float`]
**Returns**
The optimal value as a dictionary of the variable name and corresponding value.
</Attribute>
### x
<Attribute id="qiskit.optimization.algorithms.ADMMOptimizationResult.x">
Returns the optimal value found in the optimization or None in case of FAILURE.
**Return type**
`Optional`\[`ndarray`]
**Returns**
The optimal value found in the optimization.
</Attribute>
</Class>