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 ...
This project demonstrates how to solve a system of linear equations using ideas from the Conjugate Gradient (CG) method in numerical analysis. The implementation is written in Python using NumPy and ...
Abstract: This paper presents a new three-term hybrid conjugate gradient projection method for handling large-scale convex-constrained nonlinear monotone equations that are prevalent in fields such as ...
Abstract: In this paper, we propose a general solution for nonnegative matrix factorization (NMF), a technique widely used in the field of machine learning. NMF is a type of matrix factorization used ...
aCG is a suite of GPU-accelerated iterative linear solvers based on the conjugate gradient (CG) method. It supports NVIDIA and AMD GPUs, as well as multi-GPU systems utilizing GPU-aware MPI, NCCL, ...
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