Most linear ODEs exhibit complexity blowup in digital simulation unless they meet specific algebraic degeneracy conditions, extending prior first-order characterizations.
Sustainable AI: Mathematical Foundations of Spiking Neural Networks
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Complexity Theory meets Ordinary Differential Equations
Most linear ODEs exhibit complexity blowup in digital simulation unless they meet specific algebraic degeneracy conditions, extending prior first-order characterizations.