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There exist various iterative methods for solving nonlinear scalar equations.
This equivalent formulation plays a significant role in developing various iterative methods for solving an original problem.
This alternative formulation plays an important and crucial part in suggesting and analyzing various iterative methods for solving variational inclusions and related optimization problems.
In the literature, various iterative methods have been proposed for finding a common solution of the classical variational inequality problem and a fixed point problem.
In our earlier work [1, 2] we have shown that the interpolating polynomial theory and the qualitative as well as quantitative study of boundary value problems such as existence and uniqueness of solutions, and convergence of various iterative methods are directly connected.
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The resolvent equations technique has been used to study and develop several iterative methods for solving various type of variational inequalities and inclusions problems, see [12, 23, 31 33].
The systems of indefinite and almost singular linear equations (A - σB) x = By are solved by various iterative conjugate gradient/Lanczos methods.
An overview of the discrete fracture network (DFN) methodology for computation of flow is presented along with a comparative study of various Krylov subspace iterative methods for the resulting class of sparse matrices.
This work has developed a scheme to unify various sixth-order iterative methods.
Many researchers have developed various numerical methods, especially iterative methods to approximate different types of differential equations, see [2, 3, 4, 5].
It is shown that various existing sixth-order iterative methods can be generated by the scheme through a proper choice of the independent parameters.
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