Proposed CG method to solve unconstrained optimization problems
H. A. Wasi, Mushtak A. K. Shiker
Abstract
Abstract The Conjugate Gradient (CG) method of unconstrained optimization algorithms possesses good properties like less requirement memory and global convergence properties. Many modified algorithms have been made to this method, as well as new suggestions for its work to obtain the best results. In this article, a modified of conjugate gradient method is introduced, so that global convergence was smoothly proven, and the numerical results of the proposed method were compared with other methods, and the results were better in its general form, this confirms the strength, durability, and effectiveness of the proposed new method.
Topics & Concepts
Conjugate gradient methodConvergence (economics)Nonlinear conjugate gradient methodConjugate residual methodDerivation of the conjugate gradient methodGradient methodMathematical optimizationComputer scienceAlgorithmMathematicsApplied mathematicsGradient descentArtificial intelligenceArtificial neural networkEconomic growthEconomicsAdvanced Optimization Algorithms ResearchIterative Methods for Nonlinear EquationsOptimization and Variational Analysis