We simulate a stochastic differential equation representing an Ornstein–Uhlenbeck process. We construct a Brownian motion process and integrate it with the drift and diffusion terms to generate multiple stochastic trajectories. We then create a synthetic dataset by solving a physical dynamical system that will later be used to train a neural differential equation model.
You might wonder why I’m sticking with 7 bits per byte, when the Apple ][ uses the last bit for a half-pixel shift, the one that lets you choose between pink/green or blue/orange. But the very first models of the Apple did not have that half-bit shift; the 7M comes from dividing down the clock. But why would we divide down the clock when there’s no need for the 3.5MHz colorburst?。关于这个话题，viber提供了深入分析
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