In the following manuscript we will show as a starting point a theoretical analysis of the gradient method, known as one of the first descent methods, and from this we will identify the strength of the conjugate gradient methods. Taking an objective function, we will determine the values that optimize it by means of different methods, indicating the differences of geometric type that these have. Different systems will be used, in order to serve as a test, obtaining their solution in each case and finding the speed at which they converge in accordance with the conjugate gradient methods proposed by Hestenes-Stiefel and Fletcher-Reeves.En el siguiente manuscrito mostraremos como punto de inicio un análisis teórico del método de gradiente, con...
by Peter Au.Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.Includes bibliographical referen...
In this paper we compare two methods for estimating a global minimizer of an indefinite quadratic fo...
In this paper we propose a global optimality criterion for globally minimizing a quadratic form over...
In the following manuscript we will show as a starting point a theoretical analysis of the gradient ...
In this paper, We propose a new nonlinear conjugate gradient method (FRA) that satisfies a sufficien...
A modified spectral methods for solving unconstrained optimization problems based on the formulae ar...
The nonlinear conjugate gradient method is widely used to solve unconstrained optimization problems....
In this paper we study new preconditioners for the Nonlinear Conjugate Gradient (NCG) method in larg...
A new inverse family of the iterative method is interrogated in the present article for simultaneous...
The shape optimization problems naturally appear in engineering and biology. They aim to answer ques...
One of the popular approaches in modifying the Conjugate Gradient (CG) Method is hybridization. In t...
In this paper we propose three tensor methods for strongly-convex-strongly-concave saddle point prob...
Tese de doutoramento do Programa Inter-Universitário de Doutoramento em Matemática, apresentada ao ...
V této práci studujeme nelineární metody sdružených gradientů pro nepodmíněnou optimalizaci. Uvádíme...
In Twenty century, Partial Differential Equations (PDE) are solved by Numerical Approach such as Ada...
by Peter Au.Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.Includes bibliographical referen...
In this paper we compare two methods for estimating a global minimizer of an indefinite quadratic fo...
In this paper we propose a global optimality criterion for globally minimizing a quadratic form over...
In the following manuscript we will show as a starting point a theoretical analysis of the gradient ...
In this paper, We propose a new nonlinear conjugate gradient method (FRA) that satisfies a sufficien...
A modified spectral methods for solving unconstrained optimization problems based on the formulae ar...
The nonlinear conjugate gradient method is widely used to solve unconstrained optimization problems....
In this paper we study new preconditioners for the Nonlinear Conjugate Gradient (NCG) method in larg...
A new inverse family of the iterative method is interrogated in the present article for simultaneous...
The shape optimization problems naturally appear in engineering and biology. They aim to answer ques...
One of the popular approaches in modifying the Conjugate Gradient (CG) Method is hybridization. In t...
In this paper we propose three tensor methods for strongly-convex-strongly-concave saddle point prob...
Tese de doutoramento do Programa Inter-Universitário de Doutoramento em Matemática, apresentada ao ...
V této práci studujeme nelineární metody sdružených gradientů pro nepodmíněnou optimalizaci. Uvádíme...
In Twenty century, Partial Differential Equations (PDE) are solved by Numerical Approach such as Ada...
by Peter Au.Thesis (M.Phil.)--Chinese University of Hong Kong, 1999.Includes bibliographical referen...
In this paper we compare two methods for estimating a global minimizer of an indefinite quadratic fo...
In this paper we propose a global optimality criterion for globally minimizing a quadratic form over...