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---
title: NELDER_MEAD (v0.26)
description: API reference for qiskit.aqua.components.optimizers.NELDER_MEAD in qiskit v0.26
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.aqua.components.optimizers.NELDER_MEAD
---
<span id="qiskit-aqua-components-optimizers-nelder-mead" />
# qiskit.aqua.components.optimizers.NELDER\_MEAD
<Class id="qiskit.aqua.components.optimizers.NELDER_MEAD" isDedicatedPage={true} github="https://github.com/qiskit-community/qiskit-aqua/tree/stable/0.9/qiskit/aqua/components/optimizers/nelder_mead.py" signature="NELDER_MEAD(maxiter=None, maxfev=1000, disp=False, xatol=0.0001, tol=None, adaptive=False)" modifiers="class">
Nelder-Mead optimizer.
The Nelder-Mead algorithm performs unconstrained optimization; it ignores bounds or constraints. It is used to find the minimum or maximum of an objective function in a multidimensional space. It is based on the Simplex algorithm. Nelder-Mead is robust in many applications, especially when the first and second derivatives of the objective function are not known.
However, if the numerical computation of the derivatives can be trusted to be accurate, other algorithms using the first and/or second derivatives information might be preferred to Nelder-Mead for their better performance in the general case, especially in consideration of the fact that the NelderMead technique is a heuristic search method that can converge to non-stationary points.
Uses scipy.optimize.minimize Nelder-Mead. For further detail, please refer to See [https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html)
**Parameters**
* **maxiter** (`Optional`\[`int`]) Maximum allowed number of iterations. If both maxiter and maxfev are set, minimization will stop at the first reached.
* **maxfev** (`int`) Maximum allowed number of function evaluations. If both maxiter and maxfev are set, minimization will stop at the first reached.
* **disp** (`bool`) Set to True to print convergence messages.
* **xatol** (`float`) Absolute error in xopt between iterations that is acceptable for convergence.
* **tol** (`Optional`\[`float`]) Tolerance for termination.
* **adaptive** (`bool`) Adapt algorithm parameters to dimensionality of problem.
### \_\_init\_\_
<Function id="qiskit.aqua.components.optimizers.NELDER_MEAD.__init__" signature="__init__(maxiter=None, maxfev=1000, disp=False, xatol=0.0001, tol=None, adaptive=False)">
**Parameters**
* **maxiter** (`Optional`\[`int`]) Maximum allowed number of iterations. If both maxiter and maxfev are set, minimization will stop at the first reached.
* **maxfev** (`int`) Maximum allowed number of function evaluations. If both maxiter and maxfev are set, minimization will stop at the first reached.
* **disp** (`bool`) Set to True to print convergence messages.
* **xatol** (`float`) Absolute error in xopt between iterations that is acceptable for convergence.
* **tol** (`Optional`\[`float`]) Tolerance for termination.
* **adaptive** (`bool`) Adapt algorithm parameters to dimensionality of problem.
</Function>
## Methods
| | |
| -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------- |
| [`__init__`](#qiskit.aqua.components.optimizers.NELDER_MEAD.__init__ "qiskit.aqua.components.optimizers.NELDER_MEAD.__init__")(\[maxiter, maxfev, disp, xatol, …]) | **type maxiter**`Optional`\[`int`] |
| [`get_support_level`](#qiskit.aqua.components.optimizers.NELDER_MEAD.get_support_level "qiskit.aqua.components.optimizers.NELDER_MEAD.get_support_level")() | Return support level dictionary |
| [`gradient_num_diff`](#qiskit.aqua.components.optimizers.NELDER_MEAD.gradient_num_diff "qiskit.aqua.components.optimizers.NELDER_MEAD.gradient_num_diff")(x\_center, f, epsilon\[, …]) | We compute the gradient with the numeric differentiation in the parallel way, around the point x\_center. |
| [`optimize`](#qiskit.aqua.components.optimizers.NELDER_MEAD.optimize "qiskit.aqua.components.optimizers.NELDER_MEAD.optimize")(num\_vars, objective\_function\[, …]) | Perform optimization. |
| [`print_options`](#qiskit.aqua.components.optimizers.NELDER_MEAD.print_options "qiskit.aqua.components.optimizers.NELDER_MEAD.print_options")() | Print algorithm-specific options. |
| [`set_max_evals_grouped`](#qiskit.aqua.components.optimizers.NELDER_MEAD.set_max_evals_grouped "qiskit.aqua.components.optimizers.NELDER_MEAD.set_max_evals_grouped")(limit) | Set max evals grouped |
| [`set_options`](#qiskit.aqua.components.optimizers.NELDER_MEAD.set_options "qiskit.aqua.components.optimizers.NELDER_MEAD.set_options")(\*\*kwargs) | Sets or updates values in the options dictionary. |
| [`wrap_function`](#qiskit.aqua.components.optimizers.NELDER_MEAD.wrap_function "qiskit.aqua.components.optimizers.NELDER_MEAD.wrap_function")(function, args) | Wrap the function to implicitly inject the args at the call of the function. |
## Attributes
| | |
| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------- |
| [`bounds_support_level`](#qiskit.aqua.components.optimizers.NELDER_MEAD.bounds_support_level "qiskit.aqua.components.optimizers.NELDER_MEAD.bounds_support_level") | Returns bounds support level |
| [`gradient_support_level`](#qiskit.aqua.components.optimizers.NELDER_MEAD.gradient_support_level "qiskit.aqua.components.optimizers.NELDER_MEAD.gradient_support_level") | Returns gradient support level |
| [`initial_point_support_level`](#qiskit.aqua.components.optimizers.NELDER_MEAD.initial_point_support_level "qiskit.aqua.components.optimizers.NELDER_MEAD.initial_point_support_level") | Returns initial point support level |
| [`is_bounds_ignored`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_ignored "qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_ignored") | Returns is bounds ignored |
| [`is_bounds_required`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_required "qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_required") | Returns is bounds required |
| [`is_bounds_supported`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_supported "qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_supported") | Returns is bounds supported |
| [`is_gradient_ignored`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_ignored "qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_ignored") | Returns is gradient ignored |
| [`is_gradient_required`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_required "qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_required") | Returns is gradient required |
| [`is_gradient_supported`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_supported "qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_supported") | Returns is gradient supported |
| [`is_initial_point_ignored`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_ignored "qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_ignored") | Returns is initial point ignored |
| [`is_initial_point_required`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_required "qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_required") | Returns is initial point required |
| [`is_initial_point_supported`](#qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_supported "qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_supported") | Returns is initial point supported |
| [`setting`](#qiskit.aqua.components.optimizers.NELDER_MEAD.setting "qiskit.aqua.components.optimizers.NELDER_MEAD.setting") | Return setting |
### bounds\_support\_level
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.bounds_support_level">
Returns bounds support level
</Attribute>
### get\_support\_level
<Function id="qiskit.aqua.components.optimizers.NELDER_MEAD.get_support_level" signature="get_support_level()">
Return support level dictionary
</Function>
### gradient\_num\_diff
<Function id="qiskit.aqua.components.optimizers.NELDER_MEAD.gradient_num_diff" signature="gradient_num_diff(x_center, f, epsilon, max_evals_grouped=1)" modifiers="static">
We compute the gradient with the numeric differentiation in the parallel way, around the point x\_center.
**Parameters**
* **x\_center** (*ndarray*) point around which we compute the gradient
* **f** (*func*) the function of which the gradient is to be computed.
* **epsilon** (*float*) the epsilon used in the numeric differentiation.
* **max\_evals\_grouped** (*int*) max evals grouped
**Returns**
the gradient computed
**Return type**
grad
</Function>
### gradient\_support\_level
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.gradient_support_level">
Returns gradient support level
</Attribute>
### initial\_point\_support\_level
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.initial_point_support_level">
Returns initial point support level
</Attribute>
### is\_bounds\_ignored
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_ignored">
Returns is bounds ignored
</Attribute>
### is\_bounds\_required
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_required">
Returns is bounds required
</Attribute>
### is\_bounds\_supported
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_bounds_supported">
Returns is bounds supported
</Attribute>
### is\_gradient\_ignored
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_ignored">
Returns is gradient ignored
</Attribute>
### is\_gradient\_required
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_required">
Returns is gradient required
</Attribute>
### is\_gradient\_supported
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_gradient_supported">
Returns is gradient supported
</Attribute>
### is\_initial\_point\_ignored
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_ignored">
Returns is initial point ignored
</Attribute>
### is\_initial\_point\_required
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_required">
Returns is initial point required
</Attribute>
### is\_initial\_point\_supported
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.is_initial_point_supported">
Returns is initial point supported
</Attribute>
### optimize
<Function id="qiskit.aqua.components.optimizers.NELDER_MEAD.optimize" signature="optimize(num_vars, objective_function, gradient_function=None, variable_bounds=None, initial_point=None)">
Perform optimization.
**Parameters**
* **num\_vars** (*int*) Number of parameters to be optimized.
* **objective\_function** (*callable*) A function that computes the objective function.
* **gradient\_function** (*callable*) A function that computes the gradient of the objective function, or None if not available.
* **variable\_bounds** (*list\[(float, float)]*) List of variable bounds, given as pairs (lower, upper). None means unbounded.
* **initial\_point** (*numpy.ndarray\[float]*) Initial point.
**Returns**
**point, value, nfev**
point: is a 1D numpy.ndarray\[float] containing the solution value: is a float with the objective function value nfev: number of objective function calls made if available or None
**Raises**
**ValueError** invalid input
</Function>
### print\_options
<Function id="qiskit.aqua.components.optimizers.NELDER_MEAD.print_options" signature="print_options()">
Print algorithm-specific options.
</Function>
### set\_max\_evals\_grouped
<Function id="qiskit.aqua.components.optimizers.NELDER_MEAD.set_max_evals_grouped" signature="set_max_evals_grouped(limit)">
Set max evals grouped
</Function>
### set\_options
<Function id="qiskit.aqua.components.optimizers.NELDER_MEAD.set_options" signature="set_options(**kwargs)">
Sets or updates values in the options dictionary.
The options dictionary may be used internally by a given optimizer to pass additional optional values for the underlying optimizer/optimization function used. The options dictionary may be initially populated with a set of key/values when the given optimizer is constructed.
**Parameters**
**kwargs** (*dict*) options, given as name=value.
</Function>
### setting
<Attribute id="qiskit.aqua.components.optimizers.NELDER_MEAD.setting">
Return setting
</Attribute>
### wrap\_function
<Function id="qiskit.aqua.components.optimizers.NELDER_MEAD.wrap_function" signature="wrap_function(function, args)" modifiers="static">
Wrap the function to implicitly inject the args at the call of the function.
**Parameters**
* **function** (*func*) the target function
* **args** (*tuple*) the args to be injected
**Returns**
wrapper
**Return type**
function\_wrapper
</Function>
</Class>