Hyper-differential sensitivity analysis for inverse problems governed by ODEs with application to COVID-19 modeling
From MaRDI portal
Publication:2085121
DOI10.1016/j.mbs.2022.108887zbMath1500.92118OpenAlexW4291109946MaRDI QIDQ2085121
Mason Stevens, Alen Alexanderian, Isaac Sunseri
Publication date: 14 October 2022
Published in: Mathematical Biosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mbs.2022.108887
design of experimentssensitivity analysisinverse problemsuncertainty quantificationcomputational epidemiology
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Parametric sensitivity analysis of perturbed PDE optimal control problems with state and control constraints
- Statistical and computational inverse problems.
- Numerical methods and software for sensitivity analysis of differential-algebraic systems
- Inverse Problems
- Parametric sensitivity analysis in optimal control of a reaction-diffusion system – part II: practical methods and examples
- Parametric Sensitivity Analysis in Optimal Control of a Reaction Diffusion System. I. Solution Differentiability
- Using Complex Variables to Estimate Derivatives of Real Functions
- Adjoint Sensitivity Analysis for Differential-Algebraic Equations: The Adjoint DAE System and Its Numerical Solution
- Inverse Problem Theory and Methods for Model Parameter Estimation
- Computational Methods for Inverse Problems
- Perspectives in Flow Control and Optimization
- HYPERDIFFERENTIAL SENSITIVITY ANALYSIS OF UNCERTAIN PARAMETERS IN PDE-CONSTRAINED OPTIMIZATION
- Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations
- A Guide to Numerical Modelling in Systems Biology
- Numerical Sensitivity Analysis for the Quantity of Interest in PDE‐Constrained Optimization
- The complex-step derivative approximation
- Numerical Differentiation of Analytic Functions
- Parametric sensitivities for optimal control problems using automatic differentiation
- Bayesian particle filter algorithm for learning epidemic dynamics
This page was built for publication: Hyper-differential sensitivity analysis for inverse problems governed by ODEs with application to COVID-19 modeling