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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