package operations_research.service.v1

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• rpc SolveMathOptModel (SolveMathOptModelRequest, SolveMathOptModelResponse)

  optimization.proto:36

  Solves the input model and returns the result at once. Use this when you don't need callbacks, incrementality and don't need to track the progress of a solve.

  message SolveMathOptModelRequest

  optimization.proto:41

  Request for a unary remote solve in MathOpt.

  • mathopt.SolverTypeProto solver_type = 1

    Solver type to numerically solve the problem. Note that if a solver does not support a specific feature in the model, the optimization procedure won't be successful.

  • optional mathopt.ModelProto model = 2

    A mathematical representation of the optimization problem to solve.

  • optional mathopt.SolverResourcesProto resources = 6

    Hints on resources requested for the solve.

  • optional mathopt.SolveParametersProto parameters = 4

    Parameters to control a single solve. The enable_output parameter is handled specifically. For solvers that support messages callbacks, setting it to true will have the server register a message callback. The resulting messages will be returned in SolveMathOptModelResponse.messages. For other solvers, setting enable_output to true will result in an error.

  • optional mathopt.ModelSolveParametersProto model_parameters = 5

    Parameters to control a single solve that are specific to the input model (see SolveParametersProto for model independent parameters).

  message SolveMathOptModelResponse

  optimization.proto:66

  Response for a unary remote solve in MathOpt.

  • optional mathopt.SolveResultProto result = 1

    Description of the output of solving the model in the request.

  • repeated string messages = 2

    If SolveParametersProto.enable_output has been used, this will contain log messages for solvers that support message callbacks.