Tag: inverse problems

A new mathematical framework provides a derivative-free method for recovering function curvature and analyzing nonlinear boundary value problems through a ...

A new Taylor wavelet collocation method offers a robust numerical solution for estimating pollutant concentrations in heterogeneous environments by solving ...

Researchers developed a physics-informed neural network framework to infer demographic functions and unobserved dynamics in juvenile fish oogenesis.

A new adaptive reduced basis trust region algorithm accelerates the solution of inverse parameter identification problems in elliptic partial differential ...

Researchers have extended a bias-aware calibration framework to multi-physics offshore wind turbine models, successfully identifying structural and aerodynamic parameters from ...

The open-source VIPR framework standardizes machine-learning inference for ill-posed inverse problems in reflectometry and beyond through configurable, reproducible workflows.

A new differential strain method identifies both prestress forces and moving vehicle loads in prestressed concrete bridges using only two ...

A new open access study presents a numerical algorithm based on topological gradient optimization to locate small defects trapped inside ...

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier simulation evaluations to cut the computational cost ...

A physics-informed neural network framework reconstructs landslide-induced loads on buried pipelines from sparse monitoring data with errors below 0.2% in ...