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 is a preview. Log in through your library . Abstract Conjugate gradient methods are often popular for solving nonlinear optimization problems. In this paper, we discuss the spectral conjugate ...

Finding the sparse solution to under-determined or ill-condition equations is a fundamental problem encountered in most applications arising from a linear inverse problem, compressive sensing, machine ...