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glossary [2019/03/15 09:33]
dave.wright@ucl.ac.uk
glossary [2019/03/15 10:21]
dave.wright@ucl.ac.uk Edit in line with Derek's concern about mapping ABM to conceptual rather than mathematical models.
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 **Validation** is the process of analyzing the accuracy with which the model represents the real world process ​ (Oberkampf, 2010). **Validation** is the process of analyzing the accuracy with which the model represents the real world process ​ (Oberkampf, 2010).
  
-**Verification** is the process of identifying whether the computational model accurately simulates the mathematical model and its solution (Oberkampf, 2010). Verification can be divided into code verification (finding and fixing errors in the numerical algorithms or in the source code, ensuring good programming practices) and solution verification (estimation of the numerical error).+**Verification** is the process of identifying whether the computational model accurately simulates the underlying (usually ​mathematicalmodel and its solution (Oberkampf, 2010). Verification can be divided into code verification (finding and fixing errors in the numerical algorithms or in the source code, ensuring good programming practices) and solution verification (estimation of the numerical error).
  
 **Uncertainty Quantification (UQ)** is the discipline, which seeks to estimate uncertainty in the model input and output parameters, to analyse the sources of these uncertainties,​ and to reduce their quantities. **Uncertainty Quantification (UQ)** is the discipline, which seeks to estimate uncertainty in the model input and output parameters, to analyse the sources of these uncertainties,​ and to reduce their quantities.
glossary.txt ยท Last modified: 2019/04/03 10:26 by dave.wright@ucl.ac.uk