weak-formulation

The paper introduces Weak-Pareto, a method that uses adjoint-consistent weak formulations and Pareto-based subset selection to discover fractional differential equations from noisy data, recovering parsimonious structures robustly across benchmarks.

介绍了用于从噪声测量中学习动力系统的 Weak-form Kernel Ridge Regression (WKRR) 方法，该方法结合弱形式与核岭回归以滤除噪声并提高精度。该方法在高达64维的混沌基准测试以及15000维的真实流体数据上优于基线方法。