Numerical Computation, Python, Mathematics, Differential Calculus, Differentiation.
Calculus using complex tree-like structures (graphs) that perform the same in a more efficient and faster way: import torch x = torch.autograd.Variable(torch.Tensor([0.5]),requires_grad=True) def fnew(x): return torch.asin(torch.sqrt(1-torch.pow(x,2))) y = fnew(x) y.backward() print(float(x.grad))