Differentiable graphics with TensorFlow 2.0

Computer graphics is a sub-field of computer science which studies methods for digitally synthesizing and manipulating visual content.

Motivated by the method of Martinez and Qi (Ref. 1), we propose in this paper a globally convergent inexact generalized Newton method to solve unconstrained optimization problems in which the objective functions have Lipschitz continuous gradient ...

In this paper, we extend the classical Newton method for solving continuously differentiable systems of nonlinear equations to B-differentiable systems. Such B-differentiable systems of equations provide a unified framework for the nonlinear ...