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Latin hypercube sampling python example
Latin hypercube sampling python example













latin hypercube sampling python example

Is only one sample in each row and each column. Of collections of parameter values from a multidimensional distribution.Ī square grid containing possible sample points is a Latin square iff there Latin hypercube sampling (LHS) was developed to generate a distribution The optimality criterium of the algorithm. The probability with which a mutation occurs in a column of the progeny The number of generations over which the algorithm is applied The number of designs in the initial population The number of replications (variables or columns) The number of partitions (simulations or design points or rows) GeneticLHS ( n = 10, k = 2, pop = 100, gen = 4, pMut = 0.1, criterium = "S", verbose = FALSE ) runifint: Create a Random Sample of Uniform Integers.randomLHS: Construct a random Latin hypercube design.poly_sum: Addition in polynomial representation.poly_prod: Multiplication in polynomial representation.poly2int: Convert polynomial to integer in 0.q-1.

latin hypercube sampling python example

optSeededLHS: Optimum Seeded Latin Hypercube Sample.optimumLHS: Optimum Latin Hypercube Sample.optAugmentLHS: Optimal Augmented Latin Hypercube Sample.oa_to_oalhs: Create a Latin hypercube from an orthogonal array.maximinLHS: Maximin Latin Hypercube Sample.lhs-package: lhs: Latin Hypercube Samples.improvedLHS: Improved Latin Hypercube Sample.get_library_versions: Get version information for all libraries in the lhs package.geneticLHS: Latin Hypercube Sampling with a Genetic Algorithm.create_oalhs: Create an orthogonal array Latin hypercube.create_galois_field: Create a Galois field.createBusht: Create an orthogonal array using the Bush algorithm with.createBush: Create an orthogonal array using the Bush algorithm.createBoseBushl: Create an orthogonal array using the Bose-Bush algorithm with.createBoseBush: Create an orthogonal array using the Bose-Bush algorithm.createBose: Create an orthogonal array using the Bose algorithm.createAddelKempN: Create an orthogonal array using the Addelman-Kempthorne.createAddelKemp3: Create an orthogonal array using the Addelman-Kempthorne.createAddelKemp: Create an orthogonal array using the Addelman-Kempthorne.augmentLHS: Augment a Latin Hypercube Design.















Latin hypercube sampling python example