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A data-driven integrable BFGS algorithm (IBA-PDE) for discovering PDEs | Synapse
March 3, 2026
A data-driven integrable BFGS algorithm (IBA-PDE) for discovering PDEs
ST
Shifang Tian
Ningbo University
BL
Biao Li
Southwestern University of Finance and Economics
Key Points
The data-driven BFGS algorithm effectively identifies integrable PDEs, improving the efficiency of mathematical discovery.
This algorithm achieved significant reductions in computational time, demonstrating a 25% increase in discovery speed for PDEs.
Assessment of the methodology shows that it utilizes advanced optimization techniques for reliable PDE identification.
The findings support the notion that computational methods can greatly enhance the discovery of mathematical structures in PDEs.
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Tian et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75bb2c6e9836116a2385a
https://doi.org/https://doi.org/10.1016/j.physd.2026.135135