Comparison between four non-classical conjugate gradient method for solving unconstrained optimization problem / Nik Nurshahfini Daud and Farah Ellyna Mohamad Fadzal

• Main Authors: Daud, Nik Nurshahfini, Mohamad Fadzal, Farah Ellyna
• Format: Thesis
• Language: English
• Published: 2019
• Subjects: Mathematical statistics. Probabilities; Analysis; Algorithms
• Online Access: http://ir.uitm.edu.my/id/eprint/39689/1/39689.pdf; http://ir.uitm.edu.my/id/eprint/39689/

Conjugate gradient method is an efficient technique to solve unconstrained optimization problem. This method was proposed by Magnus Hestenes and Eduard Stiefel in 1952. For our research, it focus on non-classical which is Fletcher-Reeves (FR) and PRP for hybrid conjugate gradient, modified, scaled a...