Abstract: In this paper, a new block adaptive filtering algorithm, based on the Conjugate Gradient (CG) method of optimization, is proposed. A Toeplitz approximation of the autocorrelation matrix is ...
Abstract: Motivated by the success of Shanno's memoryless Conjugate Gradient (CG) methods [28,29], this paper derives a new scaled quasi-Newton like CG algorithm that utilizes an update formula that ...
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 ...
A new conjugate gradient algorithm for nonconvex minimization problem and its convergence properties
The primary objective of this paper is to develop a novel and efficient modified conjugate gradient algorithm for addressing nonconvex minimization problems. The study demonstrates that the proposed ...
This project implements the Conjugate Gradient (CG) method (without preconditioning) to solve large sparse linear systems Ax = b. Features Custom CG Solver: Computes ...
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