Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization

arXiv:2602.13513v2 Announce Type: replace-cross Abstract: In this work, we investigate the use of data-driven equation discovery for dynamical systems to model and forecast continuous-time dynamics of unconstrained optimization problems. To avoid expensive evaluations of the o...

🔗 Read more: https://arxiv.org/abs/2602.13513

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