Sort by
Refine Your Search
-
Category
-
Field
-
. The objective of this work is therefore to accelerate the convergence of preconditioned linear system resolution through Machine Learning. Two main approaches will be investigated especially for the coarse
-
the original one, even though this is generally observed in numerical experiments. This is because, in the linear case, it is the conditioning of the matrix that governs the rate of convergence of the linear
-
Guillaume SABIRON Requirements Research FieldComputer science » Modelling toolsEducation LevelMaster Degree or equivalent Skills/Qualifications Master's degree in Data Sciences, Fluid Mechanics or Applied
-
regularized model in which a local damage law is augmented via convex constraints of non-local type. The main purpose of the PhD thesis is to extend the graded damage framework to deal with damage of porous