A New M-General Model in Constrained Optimization

Abstract

The idea of this study, we introduce two technique, first technique general n-ordered for objective function in conic model according to expansion of Taylor , the second technique, anew secant equation so is modification of the scaled BFGS method. A wonderful characteristic of the proposed method is that it possesses a globally convergent despite the absence of a convexity postulate on the goal function. And The numerical results proved the efficiency of the new technology compared with the classical method.