Recently, conjugate gradient methods, which usually generate descent search directions, are useful for large …-term conjugate gradient method which satisfies a sufficient descent condition. We extend this method to two parameters family of … three-term conjugate gradient methods which can be used to control the magnitude of the directional derivative. We show that …

algorithm generates conjugate directions and extends some standard theoretical properties of the Conjugate Gradient (CG) method …

gradient method proposed by Dai and Liao, two modified conjugate gradient methods are proposed. Under proper conditions, it is … comparisons between the implementations of the proposed methods and the conjugate gradient methods proposed by Hager and Zhang …Minimizing two different upper bounds of the matrix which generates search directions of the nonlinear conjugate …

second derivative matrix of the model. The model is then minimized by a trust-region subproblem using the conjugate gradient …

optimization. In numerical experiments, this algorithm is specified by employing safe-guarded nonlinear conjugate gradient search …

A family of new conjugate gradient methods is proposed based on Perry’s idea, which satisfies the descent property or … strategy, a family of scaling symmetric Perry conjugate gradient methods with restarting procedures is presented. The …

projected conjugate gradient method is proposed to identify a network structure. It is straightforward and applicable to …

). The approach integrates a complete multi-physics TEC model and a simplified conjugate-gradient method. The present TEC …