In this paper, we study the numerical solution of hybrid fuzzy differential equations by using differential transformation method (DTM). This is powerful method which consider the approximate solution of a nonlinear equation as an infinite series usually converging to the accurate solution. Several numerical examples are given and by comparing the numerical results obtained from DTM  and  predi...

Over the years, scholars have developed predictor-corrector method to provide estimates for ordinary differential equations (ODEs). Predictor-corrector methods been reduced predicting-correcting with no concern finding convergence-criteria each loop suitable vary step size in order maximize error. This study aim consider computing fuzzy employing extended block predictor-block corrector (EBP-BC...

Abstract In this work, we analyze a strategy for solving symmetric algebraic Riccati equation based on the use of efficient high-order iterative scheme. This scheme is more than Newton’s method. Then, propose two two-stage predictor–corrector schemes using an with good accessibility as predictor iteration and corrector iteration. The constructed turn out to be competitive compared commonly used...

We consider a family of primal/primal-dual/dual search directions for the monotone LCP over the space of n n symmetric block-diagonal matrices. We consider two infeasible predictor-corrector path-following methods using these search directions, with the predictor and corrector steps used either in series (similar to the Mizuno-Todd-Ye method) or in parallel (similar to Mizuno et al./McShane's m...

We present a predictor{corrector non{interior path following algorithm for the monotone linear complementarity problem based on Chen{Harker{Kanzow{Smale smoothing techniques. Although the method is modeled on the interior point predictor{ corrector strategies, it is the rst instance of a non{interior point predictor{corrector algorithm. The algorithm is shown to be both globally linearly conver...