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2013•IRAQI JOURNAL OF STATISTICAL SCIENCESOpen access

A Modified Conjugate Gradient Method with Global Convergence Property for Unconstrained Optimization

Huda I. Ahmed, Dhaam Aoweid Matrood

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Abstract

In this paper, a modified formula for DL (Dai-Liao) is proposed for conjugate gradient method of solving unconstrained optimization problem.The new method has sufficient descent and global convergence properties.Numerical results show that this new method is very efficient compared with other similar methods in the same filed.

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What this paper is about

In this paper, a modified formula for DL (Dai-Liao) is proposed for conjugate gradient method of solving unconstrained optimization problem.The new method has sufficient descent and global convergence properties.Numerical results show that this new method is very efficient compared with other similar methods in the same filed.

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Available abstract

In this paper, a modified formula for DL (Dai-Liao) is proposed for conjugate gradient method of solving unconstrained optimization problem.The new method has sufficient descent and global convergence properties.Numerical results show that this new method is very efficient compared with other similar methods in the same filed.

Key concepts: Conjugate gradient method, Convergence (economics), Property (philosophy), Nonlinear conjugate gradient method, Conjugate, Mathematical optimization, Derivation of the conjugate gradient method, Computer science

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