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Keywords

nonlinear constrained optimization
non-conic model
conjugate gradient method

Abstract

In this search,  we develop the nonlinear constrained optimization by investigation a new region of solution depending on extended conic model to non-conic model by using conjugate gradient method. The new method is too effective when compared with other established algorithms to solve standard constrained optimization problems it performance from evaluations were the number of function (NOF),number of iteration (NOI) and  the number of constrained (NOC).  
https://doi.org/10.33899/csmj.2008.163980
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