Science Advances· 2017Q1
Data-driven discovery of partial differential equations
- 1,554citations
- Q1SCImago
- 2017year
Short summary
A sparse regression method discovers governing partial differential equations (PDEs) from time series data by selecting relevant nonlinear and derivative terms, bypassing exhaustive model searches and balancing complexity with accuracy via Pareto analysis.
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Sign in on the web to openField: Statistical and Nonlinear Physics
Statistical and Nonlinear PhysicsPhysics and Astronomy