A particular numerical analytical technique for solving systems of simultaneous equations which offers several advantages to the user over other numerical techniques is discussed. The Gauss-Seidel algorithm is simply an iterative technique which requires no derivatives, matrix inversion, eigenvalue computation, or any other sophisticated numerical methodology. While the technique has been used successfully by a few large scale model builders and by the authors for several commodity models, the experience gained in the use of the technique has not been generally disseminated. Obtaining convergence with such an iterative technique is critically dependent on a number of factors which are taken up in some detail by the authors
Basing on the theory of dynamic systems with inclomplete corrections [1-2], various methods of Gauss...
Most models in economics and the applied sciences are solved by first order iterative techniques, us...
The computational properties of an econometric method are fundamental determinants of its importance...
A particular numerical analytical technique for solving systems of simultaneous equations which offe...
AbstractIn this paper a selection of familiar iterative techniques are compared for their ability to...
In this paper, a new approach was suggested to the method of Gauss Seidel through the controlling of...
Problem statement: Development of mathematical models based on set of observed data plays a crucial ...
Analysis of real life problems often results in linear systems of equations for which solutions are ...
In this paper we introduce a process we have called "Gauss- Seidelization" for solving nonlinear equ...
Aim of this work is to provide an overview of the fundamental techniques of numerical approximation ...
AbstractThis paper is a survey of recent developments in iterative techniques for solving equation s...
Linear systems are applied in many applications such as calculating variables, rates,budgets, making...
This paper focuses on the application of computer-based, iterative methods for deriving analytical s...
This paper focuses on one way a linearized representation of a nonlinear economic model can be used ...
This paper modifies standard block Gauss-Seidel iterations used by tatonnement methods for solving l...
Basing on the theory of dynamic systems with inclomplete corrections [1-2], various methods of Gauss...
Most models in economics and the applied sciences are solved by first order iterative techniques, us...
The computational properties of an econometric method are fundamental determinants of its importance...
A particular numerical analytical technique for solving systems of simultaneous equations which offe...
AbstractIn this paper a selection of familiar iterative techniques are compared for their ability to...
In this paper, a new approach was suggested to the method of Gauss Seidel through the controlling of...
Problem statement: Development of mathematical models based on set of observed data plays a crucial ...
Analysis of real life problems often results in linear systems of equations for which solutions are ...
In this paper we introduce a process we have called "Gauss- Seidelization" for solving nonlinear equ...
Aim of this work is to provide an overview of the fundamental techniques of numerical approximation ...
AbstractThis paper is a survey of recent developments in iterative techniques for solving equation s...
Linear systems are applied in many applications such as calculating variables, rates,budgets, making...
This paper focuses on the application of computer-based, iterative methods for deriving analytical s...
This paper focuses on one way a linearized representation of a nonlinear economic model can be used ...
This paper modifies standard block Gauss-Seidel iterations used by tatonnement methods for solving l...
Basing on the theory of dynamic systems with inclomplete corrections [1-2], various methods of Gauss...
Most models in economics and the applied sciences are solved by first order iterative techniques, us...
The computational properties of an econometric method are fundamental determinants of its importance...