.. _method-local_evidence:

""""""""""""""
local_evidence
""""""""""""""


Evidence theory with evidence measures computed with local optimization methods



**Topics**


epistemic_uncertainty_quantification_methods, evidence_theory


.. toctree::
   :hidden:
   :maxdepth: 1

   method-local_evidence-sqp
   method-local_evidence-nip
   method-local_evidence-response_levels
   method-local_evidence-probability_levels
   method-local_evidence-gen_reliability_levels
   method-local_evidence-distribution
   method-local_evidence-model_pointer


**Specification**

- *Alias:* nond_local_evidence 

- *Arguments:* None


**Child Keywords:**

+-------------------------+--------------------+----------------------------+-----------------------------------------------+
| Required/Optional       | Description of     | Dakota Keyword             | Dakota Keyword Description                    |
|                         | Group              |                            |                                               |
+=========================+====================+============================+===============================================+
| Optional (Choose One)   | Optimization       | `sqp`__                    | Use a sequential quadratic programming method |
|                         | Solver             |                            | for solving an optimization sub-problem       |
|                         |                    +----------------------------+-----------------------------------------------+
|                         |                    | `nip`__                    | Use a nonlinear interior point method for     |
|                         |                    |                            | solving an optimization sub-problem           |
+-------------------------+--------------------+----------------------------+-----------------------------------------------+
| Optional                                     | `response_levels`__        | Values at which to estimate desired           |
|                                              |                            | statistics for each response                  |
+----------------------------------------------+----------------------------+-----------------------------------------------+
| Optional                                     | `probability_levels`__     | Specify probability levels at which to        |
|                                              |                            | estimate the corresponding response value     |
+----------------------------------------------+----------------------------+-----------------------------------------------+
| Optional                                     | `gen_reliability_levels`__ | Specify generalized relability levels at      |
|                                              |                            | which to estimate the corresponding response  |
|                                              |                            | value                                         |
+----------------------------------------------+----------------------------+-----------------------------------------------+
| Optional                                     | `distribution`__           | Selection of cumulative or complementary      |
|                                              |                            | cumulative functions                          |
+----------------------------------------------+----------------------------+-----------------------------------------------+
| Optional                                     | `model_pointer`__          | Identifier for model block to be used by a    |
|                                              |                            | method                                        |
+----------------------------------------------+----------------------------+-----------------------------------------------+

.. __: method-local_evidence-sqp.html
__ method-local_evidence-nip.html
__ method-local_evidence-response_levels.html
__ method-local_evidence-probability_levels.html
__ method-local_evidence-gen_reliability_levels.html
__ method-local_evidence-distribution.html
__ method-local_evidence-model_pointer.html



**Description**


Two local optimization methods
are available: ``sqp`` (sequential quadratic programming or ``nip``
(nonlinear interior point method).

*Additional Resources*

See the topic page :ref:`topic-evidence_theory` for important
background information and usage notes.

Refer to :ref:`topic-variable_support` for information on supported
variable types.


