# Multifidelity Modeling **Entity class:** Predictive-computation method ## Definition **Multifidelity modeling** combines information sources with different cost and fidelity—high- and low-resolution simulations, experiments, historical data, or expert information—under explicit uncertainty. It seeks to reserve expensive models for the questions that require them while exploiting cheaper models for repeated evaluation. ## Relationships - **paired with:** [[wiki/Reduced-Order Modeling|Reduced-Order Modeling]] and [[wiki/Verification Validation and Uncertainty Quantification|Uncertainty Quantification]]. - **supports:** inverse problems, optimization, design, and [[wiki/Theater-to-Person Predictive Scale|multiscale prediction]]. - **Oden context:** [[wiki/Predictive Computational Methods Foundry|Predictive Computational Methods Foundry]]. ## Sources / Provenance - [Oden/Willcox Group — Multifidelity modeling and UQ](https://kiwi.oden.utexas.edu/research/what-is-parameterized-model-reduction)