In this research, a new inexact line search method known as n-th section method is used to obtain the step size in BFGS method. The n-th section method is the modification of the original bisection method. As in bisection method, this simple n-th section method divides each interval section with an even number of interval which is greater than two. This new proposed algorithm is compared with the original bisection, newton and secant method in terms of number of iteration. Numerical results is obtained based on small scale functions .This research shows that the algorithm is more efficient than using the ordinary line search methods. Besides, this proposed algorithm also possessed global convergence properties
In structural optimization design, obtaining the optimal solution of the objective function is the k...
The BFGS method is one of the most effective quasi-Newton algorithms for minimization-optimization p...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...
Conjugate Gradient (CG) methods are well-known method for solving unconstrained optimization problem...
The use of the self-scaling Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is very efficient for the...
In this article, a class of nonconvex unconstrained optimization problems is considered. As the Armi...
Abstract In this paper, a modified BFGS algorithm is proposed for unconstrained optimization. The pr...
The BFGS method is one of the most efficient quasi-Newton methods for solving small- and medium-size...
Bisection method is the easiest method to find the root of a function. This method is based on the e...
In this paper we present a new line search method known as the HBFGS method, which uses the search d...
Abstract. In this paper, an unconstrained minimization algorithm is defined in which a nonmonotone l...
In this paper we present a new search direction known as the CG-BFGS method, which uses the search d...
In this paper, an unconstrained minimization algorithm is defined in which a nonmonotone line search...
By using the forcing function, we proposed a general form of nonmonotone line search technique for ...
Newton's method plays a central role in the development of numerical techniques for optimizatio...
In structural optimization design, obtaining the optimal solution of the objective function is the k...
The BFGS method is one of the most effective quasi-Newton algorithms for minimization-optimization p...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...
Conjugate Gradient (CG) methods are well-known method for solving unconstrained optimization problem...
The use of the self-scaling Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is very efficient for the...
In this article, a class of nonconvex unconstrained optimization problems is considered. As the Armi...
Abstract In this paper, a modified BFGS algorithm is proposed for unconstrained optimization. The pr...
The BFGS method is one of the most efficient quasi-Newton methods for solving small- and medium-size...
Bisection method is the easiest method to find the root of a function. This method is based on the e...
In this paper we present a new line search method known as the HBFGS method, which uses the search d...
Abstract. In this paper, an unconstrained minimization algorithm is defined in which a nonmonotone l...
In this paper we present a new search direction known as the CG-BFGS method, which uses the search d...
In this paper, an unconstrained minimization algorithm is defined in which a nonmonotone line search...
By using the forcing function, we proposed a general form of nonmonotone line search technique for ...
Newton's method plays a central role in the development of numerical techniques for optimizatio...
In structural optimization design, obtaining the optimal solution of the objective function is the k...
The BFGS method is one of the most effective quasi-Newton algorithms for minimization-optimization p...
Abstract. We propose a new inexact line search rule and analyze the global convergence and convergen...