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 ...
In this paper, we presented a new three-term conjugate gradient method based on combining the conjugate gradient method proposed by Cheng et al [15] with the idea of the modified FR method [22]. In ...
This project implements the Robust Conjugate Gradient Method (RCGM) to solve non-smooth convex optimization problems, specifically focusing on image processing tasks such as image restoration. The ...
Abstract: For the conjugate gradient method to solve the unconstrained optimization problem, given a new interval method to obtain the direction parameters, and a new conjugate gradient algorithm is ...
Abstract: In massive multiple-input multiple-output (MIMO) mobile system, the computational complexity of signal detection increases exponentially along with the growing number of antennas. For ...
This project implements the Conjugate Gradient (CG) method (without preconditioning) to solve large sparse linear systems Ax = b. Features Custom CG Solver: Computes ...
SIAM Journal on Numerical Analysis, Vol. 21, No. 2 (Apr., 1984), pp. 352-362 (11 pages) We characterize the class CG(s) of matrices A for which the linear system Ax = b can be solved by an s-term ...
ABSTRACT: Whale Optimization Algorithm (WOA) is a meta-heuristic algorithm. It is a new algorithm, it simulates the behavior of Humpback Whales in their search for food and migration. In this paper, a ...
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