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 ...

Abstract: This paper extends the conjugate gradient minimization method of Fletcher and Reeves to optimal control problems. The technique is directly applicable only to unconstrained problems; if ...

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 ...

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, ...