Linear interpolation on small intervals is like, a model of a model. And that’s exactly what differentiable functions are, anyway. And if you want to be fancier then sample the model and fit some polynomials to interpolate between those samples.
If they were really time constrained they could precompute things sparsely first (for a demo the next day) and then progressively refine the values in between.
Linear interpolation on small intervals is like, a model of a model. And that’s exactly what differentiable functions are, anyway. And if you want to be fancier then sample the model and fit some polynomials to interpolate between those samples.
If they were really time constrained they could precompute things sparsely first (for a demo the next day) and then progressively refine the values in between.
Why did this trend on HN?