In order to obtain more stable solutions, a distributed approximate gradient descent optimization algorithm and conflict resolution mechanism are proposed, which enhances the convergence of our method ...

The major challenge is to develop optimization algorithms that are efficient and robust for large problems. Since a certain amount of computation (i.e., CPU time) is needed to evaluate the loss and ...

a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates ...

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and ...