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How to calibrate a computational model?

  • updated 4 days ago

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Calibration is a process in which a priori unknown and estimated input descriptors of a computational model are refined through a numerical procedure, more specifically optimization routines in order to achieve a desired behavior of the model. This behavior is characterized by the Objective function to minimize. 

Objective function

The objective function is the function to me minimized: this means that when this evaluates to 1 for a simulation, the outputs of that simulation should match the expected behavior. 

The objective function is defined as a list of scoring sets and/or data tables, where having at least one item selected is mandatory. 

Scoring set

Data table

Running a calibration

Computational model, Output set and Protocol arms

Inputs to calibrate

Calibration options

Monitoring and post-processing 

The optimization algorithm in detail

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