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Eisa A. Al-Said

Researcher at King Saud University

Publications -  80
Citations -  1215

Eisa A. Al-Said is an academic researcher from King Saud University. The author has contributed to research in topics: Variational inequality & Iterative method. The author has an hindex of 20, co-authored 80 publications receiving 1146 citations. Previous affiliations of Eisa A. Al-Said include COMSATS Institute of Information Technology.

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On an iterative method for solving absolute value equations

TL;DR: An iterative method for solving absolute value equation Ax − |x| = b, where A in R n × n is symmetric matrix and b in Rn, coupled with the minimization technique is suggested.
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The use of cubic splines in the numerical solution of a system of second-order boundary value problems

TL;DR: In this article, the authors used uniform cubic polynomial splines to develop some consistency relations which were then used to develop a numerical method for computing smooth approximations to the solution and its derivatives for a system of second-order boundary value problems associated with obstacle, unilateral, and contact problems.
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Some New Iterative Methods for Nonlinear Equations

TL;DR: In this paper, the authors suggest and analyze some new iterative methods for solving the nonlinear equations using the decomposition technique coupled with the system of equations, and prove that new methods have convergence of fourth order.
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Quartic spline method for solving fourth order obstacle boundary value problems

TL;DR: In this paper, the authors used uniform quartic polynomial splines to develop a new method, which was used for computing approximations to the solution and its first, second as well as third derivatives for a system of fourth order boundary value problems associated with obstacle, unilateral and contact problems.
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Cubic spline method for solving two-point boundary-value problems

TL;DR: In this paper, uniform cubic spline polynomials are used to derive consistency relations and these relations are then used to develop a numerical method for computing smooth approximations to the solution and its first, second as well as third derivatives for a second order boundary value problem.