modelling approach
1Modelling biological systems — Modeling biological systems is a significant task of systems biology and mathematical biology. Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of… …
2Goal Modelling — Within requirements engineering (RE), the notion of goal has increasingly been used. Goals generally describe objectives which a system should achieve through cooperation of actors in the intended software and in the environment [L. Liu and E. Yu …
3Metabolic network modelling — Metabolic network showing interactions between enzymes and metabolites in the Arabidopsis thaliana citric acid cycle. Enzymes and metabolites are the red dots and interactions between them are the lines …
4Scientific modelling — Example of scientific modelling. A schematic of chemical and transport processes related to atmospheric composition. Scientific modelling is the process of generating abstract, conceptual, graphical and/or mathematical models. Science offers a… …
5Empirical modelling — refers to any kind of (computer) modelling based on empirical observations rather than on mathematically describable relationsships of the system modelled. EMEmpirical Modelling (EM), spelt with capitals to denote a particular approach and to… …
6MOHID Water Modelling System — MOHID is short for Modelo Hidrodinâmico which is Hydrodynamic Model in portuguese. MOHID Water Modelling System is a modular (see Modular programming) finite volumes (Finite volume method)water modelling system written in ANSI Fortran95 using an… …
7Stochastic modelling (insurance) — This page is concerned with the stochastic modelling as applied to the insurance industry. For other stochastic modelling applications, please see Monte Carlo method. For mathematical definition, please see Stochastic process.tochastic model… …
8Generative Modelling Language — In generative computer programming, the Generative Modelling Language (GML) is a very simple programming language for the concise description of complex 3D shapes. It follows the Generative Modelling paradigm, where complex datasets are… …
9Choice modelling — attempts to model the decision process of an individual or segment in a particular context. Choice modelling may also be used to estimate non market environmental benefits and costs[1]. Well specified choice models are sometimes able to predict… …
10Molecular Modelling Toolkit — MMTK Original author(s) Konrad Hinsen Initial release 4 January 2000 (2000 01 04) Stable release 2.7.4 / 28 April 2011; 6 months ago (2011 04 28) …
