Material properties in function of the temperature. The inequality constraints are caused by the physical decreasing of some ![]() Is shown on a real example concerning the numerical welding simulation, where LHS to honor the desired monotonic constraints. Latin hypercube sampling (cLHS), consists in doing permutations on an initial To build a Latin hypercube sample (LHS) taking into account inequalityĬonstraints between the sampled variables. x1 linspace (-2,2,20)' x2 linspace (-2,2,20)' X lhsdesign (20,2) plot (X,'') But it gives me values below 0.1 which cannot be true. So far I've gotten here by referring to the Matlab documentation : LHS sampling plan. In this paper we propose and discuss a new algorithm I'm trying to create a sampling plan X x1T x2T with 20 points using LHS. ![]() The sampling design of the model input variables has to be chosen with caution.įor this purpose, Latin hypercube sampling has a long history and has shown its Authors: Matthieu Petelet (CEA-DEN), Bertrand Iooss (Méthodes d'Analyse Stochastique des Codes et Traitements Numériques), Olivier Asserin (CEA-DEN), Alexandre Loredo (EA1859) Download PDF Abstract: In some studies requiring predictive and CPU-time consuming numerical models,
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