{
  "__type": "IngestedDoc",
  "__tag": 4010,
  "_content": {
    "Notes": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Warns": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Raises": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Yields": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Methods": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Returns": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Parameters",
          "__tag": 4026,
          "children": [
            {
              "__type": "DocParam",
              "__tag": 4016,
              "name": "res",
              "annotation": "OptimizeResult",
              "desc": [
                {
                  "__type": "Paragraph",
                  "__tag": 4045,
                  "children": [
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "The optimization result represented as a "
                    },
                    {
                      "__type": "CrossRef",
                      "__tag": 4002,
                      "value": "OptimizeResult",
                      "reference": {
                        "__type": "LocalRef",
                        "__tag": 4022,
                        "kind": "module",
                        "path": "scipy.optimize._optimize:OptimizeResult"
                      },
                      "kind": "module"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " object. Important attributes are: "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "x"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " the solution array, "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "success"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " a Boolean flag indicating if the optimizer exited successfully, "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "message"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " which describes the cause of the termination, "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "population"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " the solution vectors present in the population, and "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "population_energies"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " the value of the objective function for each entry in "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "population"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": ". See "
                    },
                    {
                      "__type": "CrossRef",
                      "__tag": 4002,
                      "value": "OptimizeResult",
                      "reference": {
                        "__type": "LocalRef",
                        "__tag": 4022,
                        "kind": "module",
                        "path": "scipy.optimize._optimize:OptimizeResult"
                      },
                      "kind": "module"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " for a description of other attributes. If "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "polish",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " was employed, and a lower minimum was obtained by the polishing, then OptimizeResult also contains the "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "jac"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " attribute. If the eventual solution does not satisfy the applied constraints "
                    },
                    {
                      "__type": "InlineCode",
                      "__tag": 4051,
                      "value": "success"
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": " will be "
                    },
                    {
                      "__type": "InlineRole",
                      "__tag": 4003,
                      "value": "False",
                      "domain": null,
                      "role": null,
                      "inventory": null
                    },
                    {
                      "__type": "Text",
                      "__tag": 4046,
                      "value": "."
                    }
                  ]
                }
              ]
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Summary": {
      "__type": "Section",
      "__tag": 4015,
      "children": [
        {
          "__type": "Paragraph",
          "__tag": 4045,
          "children": [
            {
              "__type": "Text",
              "__tag": 4046,
              "value": "Runs the DifferentialEvolutionSolver."
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Receives": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Warnings": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Attributes": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Parameters": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Extended Summary": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    },
    "Other Parameters": {
      "__type": "Section",
      "__tag": 4015,
      "children": [],
      "title": [],
      "level": 0,
      "target": null
    }
  },
  "_ordered_sections": [
    "Summary",
    "Extended Summary",
    "Parameters",
    "Attributes",
    "Methods",
    "Returns",
    "Yields",
    "Receives",
    "Other Parameters",
    "Raises",
    "Warns",
    "Warnings",
    "Notes"
  ],
  "item_file": "/scipy/optimize/_differentialevolution.py",
  "item_line": 1185,
  "item_type": "function",
  "aliases": [
    "scipy.optimize._differentialevolution.DifferentialEvolutionSolver.solve"
  ],
  "example_section_data": {
    "__type": "Section",
    "__tag": 4015,
    "children": [],
    "title": [],
    "level": 0,
    "target": null
  },
  "see_also": [],
  "signature": {
    "__type": "SignatureNode",
    "__tag": 4029,
    "kind": "function",
    "parameters": [
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "self",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": {
          "__type": "Empty",
          "__tag": 4031
        }
      }
    ],
    "return_annotation": {
      "__type": "Empty",
      "__tag": 4031
    },
    "target_name": "solve"
  },
  "references": null,
  "qa": "scipy.optimize._differentialevolution:DifferentialEvolutionSolver.solve",
  "arbitrary": [],
  "local_refs": [
    "res"
  ]
}