Recall energy function
and its gradient,
The derivative w.r.t. t_i of E' (i.e. the i-th row of the Hessian) is given by:
Of the six terms, the third and sixth are particularly problematic when generalizing to the full hessian, because they involve the Jacobian of a Jacobian, which is a 3D tensor.
To keep running time to \(O(n3)\), we'll use diagonal approximations for those terms.
Started deriving J′z, but was stymied by the complexity. For now, we'll resort to ignoring these terms and see how the optimization goes.
Posted by Kyle Simek