why inverse of hessian?
I think this hessian inverse is like a transformation matrix?
How do people usually choose the best solver for a particular problem? Is it just done by trial-and-error?
If I recall correctly, Newton's method could easily diverge if the starting point or step size is too big, or if the function is not convex.
Are nonconvex optimization problems common in graphics?
when the oscillation will occur?
what's the hessian inverse?
why inverse of hessian?
I think this hessian inverse is like a transformation matrix?
How do people usually choose the best solver for a particular problem? Is it just done by trial-and-error?
If I recall correctly, Newton's method could easily diverge if the starting point or step size is too big, or if the function is not convex.
Are nonconvex optimization problems common in graphics?
when the oscillation will occur?
what's the hessian inverse?