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    JuliaSimModelOptimizer
    • JuliaSimModelOptimizer: Automated Solution of Complex Inverse Problems
    • Getting Started with JuliaSimModelOptimizer
    • Topic Tutorials
      • Experiment Data Interface
      • Custom Loss Functions
      • Launching Batch Jobs in JuliaHub
      • Calibration of an Unstable Dynamical System using Prediction Error Method
      • Calibration of a Dynamical System with Observed Data with Prediction Error Method
      • Design Optimization of a DC Motor
      • Calibration of a Dynamical System using Collocation Methods
    • Workflow Examples
      • Calibration of a Steady State System
      • Global Model Calibration of Thermal Conduction
      • Parameter Estimation with Multiple Experiments
      • Calibration of an Unstable Circuit Model using Prediction Error Method
      • Performing Global Sensitivity Analysis
    • Manual and APIs
      • Experiments
      • Defining Inverse Problems
      • Calibrating Models to Data
      • Parametric uncertainty quantification
      • Results interface
      • Plot Functions
      • Collocation Methods
      • Miscellaneous API
        • Utility functions
      • JuliaHub for Batch Jobs
    Version
    • Manual and APIs
    • Miscellaneous API
    • Miscellaneous API

    Miscellaneous API

    Utility functions

    JuliaSimModelOptimizer.lowerbound — Function
    lowerbound(prob)

    Get the lower bound of the search space defined in the inverse problem.

    source
    JuliaSimModelOptimizer.upperbound — Function
    upperbound(prob)

    Get the upper bound of the search space defined in the inverse problem.

    source
    JuliaSimModelOptimizer.get_model — Function
    function get_model(res::CalibrationResult)

    This function retrieves the model associated with a CalibrationResult.

    source
    « Collocation MethodsJuliaHub for Batch Jobs »

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    This document was generated with Documenter.jl version 1.8.0 on Wednesday 27 November 2024. Using Julia version 1.11.1.