Explore: Adaptive Grids

often limited to predetermined quantified grids as in the Cartesian plane which constitute the computational grid, or 'mesh'. Many problems in numerical

(SPRI)). Using recent datasets and cross-confirmation between the adaptive gridding and B9-Hillclimbing methods discussed below, Rees et al. (2021) identify

be the best for the given problem. Adaptive methods are used to improve the accuracy of the solutions. The adaptive method is referred to as ‘h’ method

Klimaszewski, K.; Sederberg, T.W. (1997). "Faster ray tracing using adaptive grids". IEEE Computer Graphics and Applications. 17 (1): 42–51. doi:10.1109/38

structure for regular sparse grids Finite difference scheme on sparse grids Visualization on sparse grids Datamining on sparse grids, J.Garcke, M.Griebel (pdf)

POMDP solving into large domains with millions of states. For example, adaptive grids and point-based methods sample random reachable belief points to constrain

hexagonal grids, despite them being the most efficient grid model. This publishment received widespread attention, and led to the adoption of square grids in

e., a latitude/longitude grid). However, non-rectangular grids (e.g., icosahedral) and grids of variable resolution  are more often used. The LMDz model

A responsive design adapts the web-page layout to the viewing environment by using techniques such as fluid proportion-based grids, flexible images, and

system are adaptive and the system is self-similar. A CAS is a complex, self-similar collectivity of interacting, adaptive agents. Complex adaptive systems