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S. Effati and M. Baymani, “A new nonlinear neural network for solving quadratic programming problems,” Applied Mathematics and Computational, Vol. 165, pp. 719–729, 2005.

has been cited by the following article:

• TITLE: A New Numerical Method for Solving the Stokes Problem Using Quadratic Programming

  AUTHORS: M. Baymani, A. Kerayechian

  KEYWORDS: Galerkin Method, Neural Network Model, Quadratic Programming Problem, Stokes Problem

  JOURNAL NAME: Intelligent Information Management, Vol.2 No.3, March 31, 2010

  ABSTRACT: In this paper we present a new method for solving the Stokes problem which is a constrained optimization method. The new method is simpler and requires less computation than the existing methods. In this method we transform the Stokes problem into a quadratic programming problem and by solving it, the velocity and the pressure are obtained.