Dependent and independent variablesDependent and independent variables are variables in mathematical modeling, statistical modeling and experimental sciences. Dependent variables are studied under the supposition or demand that they depend, by some law or rule (e.g., by a mathematical function), on the values of other variables. Independent variables, in turn, are not seen as depending on any other variable in the scope of the experiment in question. In this sense, some common independent variables are time, space, density, mass, fluid flow rate, and previous values of some observed value of interest (e.
Algorithme génétiqueLes algorithmes génétiques appartiennent à la famille des algorithmes évolutionnistes. Leur but est d'obtenir une solution approchée à un problème d'optimisation, lorsqu'il n'existe pas de méthode exacte (ou que la solution est inconnue) pour le résoudre en un temps raisonnable. Les algorithmes génétiques utilisent la notion de sélection naturelle et l'appliquent à une population de solutions potentielles au problème donné.
Robustness (computer science)In computer science, robustness is the ability of a computer system to cope with errors during execution and cope with erroneous input. Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to showing robustness since this type of testing involves invalid or unexpected inputs. Alternatively, fault injection can be used to test robustness.