APPLICATION OF THE DEPENDENT METHOD OF GREATER PENDING TO OPTIMIZE FUNCTIONS OF SEVERAL VARIABLES

  • Julio Cesar Romero Pabon Universidad del Atlantico
Keywords: optimization, minimize, maximize, and gradient optimización, minimizar, maximizar y gradiente

Abstract

Derivative Based Optimization Methods are basic techniques used in the iterative solution of unrestricted optimization problems. They offer the simplest and most direct way of solving these problems, in practical terms they are a reference in relation to the difficulty of implementation and speed of convergence. In general, advanced techniques are compared with these basic techniques. The structure of these methods with:

1. It starts at one point.

2. The direction of descent is determined by a fixed rule. (First difference between

Algorithms)

3. And then it moves towards the minimum in that direction. (Linear Search).

 The general form of the basic methods of descent can be expressed as,

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References

PROGRAMACIÓN LINEAL Y NO LINEA. David E. Luenberger. Editorial Addison-Wesley. Iberoamericana. Capítulo 7.

ANALISIS NUMERICO. Richard L. Burden y J. Douglas Faires. Editorial Math Learning. Pág. 628-633

PROGRAMACION NO LINEA Y DINAMICA. Héctor Manuel Mora Escobar. Editorial Universidad Nacional de Colombia. Pág. 201-2010

Published
2017-07-01
How to Cite
Romero Pabon, J. C. (2017). APPLICATION OF THE DEPENDENT METHOD OF GREATER PENDING TO OPTIMIZE FUNCTIONS OF SEVERAL VARIABLES. Revista MATUA ISSN: 2389-7422, 4(1). Retrieved from https://investigaciones.uniatlantico.edu.co/revistas/index.php/MATUA/article/view/1760