latin-hypercube-sampling

This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772

python statistics python3 sampling latin-hypercube latin-hypercube-sampling

UpdatedAug 7, 2020
HTML

bertcarnell /lhs

Star51

Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples

r r-package lhs latin-hypercube orthogonal-arrays latin-hypercube-sampling latin-hypercube-sample

UpdatedJun 30, 2024
C++

tstran155 /Optimization-of-building-energy-consumption

Star35

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

machine-learning-algorithms cross-validation multi-objective-optimization pyomo deterministic bayesian-optimization hvac nonlinear-optimization nsga-ii multivariate-regression stochastic-optimization ipopt probabilistic-inference genetic-optimization-algorithm latin-hypercube-sampling building-energy xgboost-regression sobol-indices gurobi-solver pymoo

UpdatedMar 15, 2023
Jupyter Notebook

bertcarnell /lhslib

Star10

Latin hypercube sampling code for the lhs pacakge in the statistical software package R (www.r-project.org)

c-plus-plus r rcpp latin-hypercube-sampling

UpdatedMar 19, 2022
C++

mikediessner /simplelhs

Star7

Simple implementation of Latin Hypercube Sampling.

numpy design-of-experiments latin-hypercube-sampling space-filling-designs

UpdatedApr 18, 2023
Python

Spogis /DWSIMChemDesign

Sponsor

Star7

ChemDesign: DWSIM Experiment Toolkit

extension toolkit design-of-experiments doe latin-hypercube-sampling dwsim

UpdatedAug 9, 2025
HTML

brsynth /icfree-ml

Star5

Design of experiments (DoE) and machine learning packages for the iCFree project

machine-learning design-of-experiments latin-hypercube-sampling cell-free

UpdatedFeb 20, 2025
Python

jakobbossek /dandy

Star4

Wrapper for sampling methods in R and approximate star discrepancy calculation

design sampling halton-sequence sobol-sequence pseudo-random-generator latin-hypercube-sampling discrepancy quasi-random-generator

UpdatedMar 15, 2023
C

oselin /algorithm_development

Star2

Implementation, analysis and benchmarking of optimization algorithms. Developed in Python and results showed in Jupyter Notebook

benchmark bayesian-optimization particle-swarm-optimization bfgs response-surface-model latin-hypercube-sampling nelder-mead-algorithm sobol-sampling

UpdatedAug 19, 2023
Jupyter Notebook

zenklinov /Latin-Hypercube-Sampling

Star1

This project is a simple implementation of the Latin Hypercube Sampling (LHS) method using Python. Its primary purpose is to demonstrate how LHS can be used to efficiently estimate expected values from random distributions or stochastic processes by ensuring better coverage of the input space compared to traditional random sampling.

statistics simulations sampling latin-hypercube-sampling