Géométrie synthétiqueLa géométrie synthétique ou géométrie pure est fondée sur une approche axiomatique (donc, « purement logique ») de la géométrie. Elle constitue une branche de la géométrie étudiant diverses propriétés et divers théorèmes uniquement par des méthodes d'intersections, de transformations et de constructions. Elle s'oppose à la géométrie analytique et refuse systématiquement l'utilisation des propriétés analytiques des figures ou l'appel aux coordonnées. Ses concepts principaux sont l'intersection, les transformations y compris par polaires réciproques, la logique.
Cluster samplingIn statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population. It is often used in marketing research. In this sampling plan, the total population is divided into these groups (known as clusters) and a simple random sample of the groups is selected. The elements in each cluster are then sampled. If all elements in each sampled cluster are sampled, then this is referred to as a "one-stage" cluster sampling plan.
Discontinuous linear mapIn mathematics, linear maps form an important class of "simple" functions which preserve the algebraic structure of linear spaces and are often used as approximations to more general functions (see linear approximation). If the spaces involved are also topological spaces (that is, topological vector spaces), then it makes sense to ask whether all linear maps are continuous. It turns out that for maps defined on infinite-dimensional topological vector spaces (e.g.
Dimensional regularizationNOTOC In theoretical physics, dimensional regularization is a method introduced by Giambiagi and Bollini as well as – independently and more comprehensively – by 't Hooft and Veltman for regularizing integrals in the evaluation of Feynman diagrams; in other words, assigning values to them that are meromorphic functions of a complex parameter d, the analytic continuation of the number of spacetime dimensions. Dimensional regularization writes a Feynman integral as an integral depending on the spacetime dimension d and the squared distances (xi−xj)2 of the spacetime points xi, .
