Order independence and factor convergence in iterative scaling

New family of Two-Parameters Iterative Methods for Non-Linear Equations with Fourth-Order Convergence

New iterative methods with seventh-order convergence for solving nonlinear equations

In this paper, seventh-order iterative methods for the solution ofnonlinear equations are presented. The new iterative methods are developed byusing weight function method and using an approximation for the last derivative,which reduces the required number of functional evaluations per step. Severalexamples are given to illustrate the eciency and the performance of the newiterative methods.

AN ITERATIVE METHOD WITH SIX-ORDER CONVERGENCE FOR SOLVING NONLINEAR EQUATIONS

Modification of Newtons method with higher-order convergence is presented. The modification of Newtons method is based on Frontinis three-order method. The new method requires two-step per iteration. Analysis of convergence demonstrates that the order of convergence is 6. Some numerical examples illustrate that the algorithm is more efficient and performs better than classical Newtons method and ...

the investigation of research articles in applied linguistics: convergence and divergence in iranian elt context

چکیده ندارد.

On Monotonic Convergence of High Order Iterative Learning Update Laws

High-order iterative learning control (ILC) in both iteration domain and time domain is investigated in this paper. We are interested in whether a high order iterative learning updating law is helpful in achieving a monotonic convergence in a suitable norm topology other than the exponentially weighted sup-norm. Discretetime linear time invariant system is considered. With simulation illustrati...