Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...

In this paper we test different conjugate gradient (CG) methods for solving largescale unconstrained optimization problems. The methods are divided in two groups: the first group includes five basic ...

The following repo contains implementations of various optimization algorithms in Julia. I created this project to be better understand how these algortihms work and how they could be implemented in ...

GPU-accelerated linear solvers based on the conjugate gradient (CG) method, supporting NVIDIA and AMD GPUs with GPU-aware MPI, NCCL, RCCL or NVSHMEM ...

Abstract: With the evolution toward 6G wireless networks, new technologies such as reconfigurable intelligent surfaces (RIS) and non-orthogonal multiple access (NOMA) are considered to meet increasing ...

Below, you will find information about software developed by the Center, as well as download links. Disclaimer: This software is provided without any expressed or implied warranty. In particular, ...