Design of Experiment
01Generate samples for model exploration, sensitivity analysis, inference, and surrogate model training.

UQPyL 从可复用的问题定义开始,把采样、分析、推断、代理建模、校准和优化连接到同一套接口上。
把变量、边界、目标、约束或仿真模型封装成统一入口。
Problem/ModelProblem把同一个 problem 传给 DOE、分析、优化、推断、校准或代理模型模块。
DOE/Analysis/Optimization/Inference/Calibration/Surrogate读取标准结果对象,或查看保存下来的运行记录。
verbose/log/save
每个模块负责不确定性量化、校准与优化工作流中的一个核心环节。
Generate samples for model exploration, sensitivity analysis, inference, and surrogate model training.

Approximate expensive models and accelerate analysis or optimization workflows.

Quantify how input uncertainties influence outputs and identify important variables.

Estimate uncertain parameters and posterior distributions with Bayesian sampling methods.

Calibrate model parameters and support hydrological or external-model workflows.

Search for optimal decisions with single-objective, multi-objective, and surrogate-assisted algorithms.

覆盖水文校准、代理辅助优化和完整不确定性工作流的代表性案例。
Hydrological model calibration with sensitivity analysis and uncertainty evaluation.

Optimization under expensive simulation settings with adaptive surrogate modelling.
A compact end-to-end view of how problems, modules, and workflows connect in practice.
把首页作为进入 UQPyL 文档的主入口。