Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy data.
Benjamin CohenBurcu BeykalGeorge M. BollasPublished in: J. Comput. Phys. (2024)
Keyphrases
- noisy data
- partial differential equations
- genetic programming
- anisotropic diffusion
- numerical solution
- level set
- image denoising
- image processing
- fourth order
- image enhancement
- evolutionary algorithm
- numerical algorithms
- noise tolerant
- numerical methods
- missing data
- energy functional
- multiscale
- diffusion equation
- high dimensional
- missing values
- finite difference method
- learning from noisy data
- data mining
- high order
- finite difference
- differential equations
- mathematical morphology
- boundary value problem
- numerical scheme
- training data
- lattice boltzmann
- genetic algorithm
- noisy images
- input data
- nearest neighbor
- image analysis
- object recognition
- conservation laws
- decision trees