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math.OC2025
High-order expansion of Neural Ordinary Differential Equations flows
Dario Izzo, Sebastien Origer, Giacomo Acciarini +1
Artificial neural networks, widely recognised for their role in machine learning, are now transforming the study of ordinary differential equations (ODEs), bridging data-driven mod…
math.OC2010★ 19 cited
Towards a High Fidelity Direct Transcription Method for Optimisation of Low-Thrust Trajectories
Chit Hong Yam, Dario Izzo, Francesco Biscani
We build upon some new ideas in direct transcription methods developed within the Advanced Concepts Team to introduce two improvements to the Sims-Flanagan transcription for low-th…