Python library for parallel multiobjective simulation optimization
Pareto Front Estimation Using Unit Hyperplane
Solver for Blackbox Multiobjective Optimization Problems
A few ML algorithms and Data Analysis
Response Surface Analysis Interactive Panel
A/B/n Experiment Project using Response Surface Methodology
Lagrangian simulation of ascorbic acid retention during spray drying of Myrciaria dubia extract. Box-Behnken RSM, Monte Carlo uncertainty, glass transition analysis. UNSA Arequipa, Peru.
Validation harness and curated case datasets for the FORMULA-Sigma pharmaceutical formulation platform. Reproducibility package for the methods paper (harness: MIT; datasets: CC-BY-4.0). Platform engine is proprietary.
Rust library for statistical Design of Experiments — factorial/RSM/Taguchi designs, ANOVA, power analysis, multi-response optimization. Also available as a WebAssembly/npm package.
Multi-Objective Optimization of 3 output functions based on 5 input variables using epsilon-constraint method in Pyomo. [developed using ChatGPT July 20 Version]
Open-source Design of Experiments in your browser. Factorial designs, ANOVA, response surfaces, optimization, and a publication-ready PDF report — without the $1,995 license.
A Dynamic Pricing framework integrating Monte Carlo simulations for demand uncertainty analysis and Response Surface Methodology (RSM) to optimize pricing strategies and maximize revenue.
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