First-class models: on a noncausal language for higher-order and structurally dynamic modelling and simulation
Giorgidze, George (2012) First-class models: on a noncausal language for higher-order and structurally dynamic modelling and simulation. PhD thesis, University of Nottingham.
The field of physical modelling and simulation plays a vital role in advancing numerous scientific and engineering disciplines. To cope with the increasing size and complexity of physical models, a number of modelling and simulation languages have been developed. These languages can be divided into two broad categories: causal and noncausal. Causal languages express a system model in terms of directed equations. In contrast, a noncausal model is formulated in terms of undirected equations. The fact that the causality can be left implicit makes noncausal languages more declarative and noncausal models more reusable. These are considered to be crucial advantages in many physical domains.
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