Sentence examples for methods for approximation from inspiring English sources

There are several classical methods for approximation of solutions of nonlinear equation of one variable f ( x ) = 0 (1.1).

The viscosity approximation method is one of the important methods for approximation fixed points of nonexpansive type mappings.

The need for parameterizing the chain of models motivates the use of methods for approximation based on Continuous Fractions.

Moreover, iterative methods for approximation of fixed points of asymptotically nonexpansive mappings have been further studied by other authors (see, e.g., [16 18] and references therein).

We compute an extensive representation of the undistortion function as well as its statistics and use machine learning methods for approximation of the undistortion function.

One of the most popular methods for approximation of a minimizer of a convex function is the proximal point algorithm (PPA), which was introduced by Martinet [1] and Rockafellar [2] in Hilbert spaces.

Furthermore, methods for estimation, approximation, and simulation of gamma processes are reviewed.

In this paper, we present efficient, unconditionally stable and accurate numerical methods for approximations of the Klein Gordon Schrödinger (KGS) equations with/without damping terms.

Such a method for approximation of fixed points is called the viscosity approximation method.

We now introduce the dual least squares method for approximation of the solutions of problem (1.1).

This iterative algorithm gives a method for approximation of a zero of a maximal monotone operator.