The nonlinear conjugate gradient method is a very useful technique for solving large scale minimization problems and has wide applications in many fields. In this paper, we present a new algorithm of ...

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 is a preview. Log in through your library . Abstract A rate of convergence of the conjugate gradient method for minimizing the convex quadratic functionals in Hilbert space is investigated.

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 ...

This project implements the Conjugate Gradient (CG) method (without preconditioning) to solve large sparse linear systems Ax = b. Features Custom CG Solver: Computes ...

Abstract: A novel combination of the conjugate gradient (CG) method with the fast Fourier transform technique (FFT) is presented. With this combination, the computational time required to solve large ...

Copyright by Davide Palitta (University of Bologna), Martina Iannacito (University of Bologna), and Valeria Simoncini (University of Bologna). The software is ...