This paper presents a fourth-order nonlinear conjugate gradient method in equality constrained optimization. The idea is to transform the constrained problem into unconstrained type through the Lagrange multipliers scheme. Using four terms of Taylor series development, we approxi...
Open access
Research Article10.9734/BJMCS/2015/18695
This paper is presenting a fourth-order nonlinear conjugate gradient method in large scale optimization. This method solves unconstrained optimization problems. It is based on a nonlinear polynomial approximation of the objective function. The idea is to approximate the minimizin...
Open access
Research Article10.9734/BJMCS/2015/18694
The development of any conjugate gradient method could be viewed from the perspective of approximating an objective function by a functional noting that the properties of the functional can be used to characterize the method. Using the functional , the new conjugate gradient meth...
Open access
Research Article10.9734/BJMCS/2014/13361
A hybrid of the new Conjugate gradient method and Galerkin theory has been used to find the maximum deflection of a beam under uniformly distributed load. Maximum deflection of a beam under a given pressure was found by solving a two-point linear, second order, boundary value pro...
Open access
Research Article10.9734/BJMCS/2015/13362