Islamic Azad University, Rasht Branch
Iranian Journal of Optimization
2588-5723
2008-5427
01
2
2009
07
01
SOLUTION OF FUZZY DIFFERENTIAL EQUATIONS UNDER GENERALIZED DIFFERENTIABILITY BY ADOMIAN DECOMPOSITION METHOD
57
75
EN
T.
Allahviranloo
Department of Mathematics, Science and Research Branch, Islamic Azad
University,Tehran, 14778, Iran
L.
Jamshidi
Department of Mathematics, Science and Research Branch, Islamic Azad
University,Tehran, 14778, Iran
Adomian decomposition method has been applied to solve many functional equations so far. In this article, we have used this method to solve the fuzzy differential equation under generalized differentiability. We interpret a fuzzy differential equation by using the strongly generalized differentiability. Also one concrete application for ordinary fuzzy differential equation with fuzzy input data are given.
Adomian decomposition method,GENERALIZATIONS OF THE DIFFERENTIABILITY OF FUZZY DIFFERENTIAL EQUATIONS
http://ijo.iaurasht.ac.ir/article_513238.html
http://ijo.iaurasht.ac.ir/article_513238_dae63f310440b6654e11f0bfff9f25fe.pdf
Islamic Azad University, Rasht Branch
Iranian Journal of Optimization
2588-5723
2008-5427
01
2
2009
07
01
DESIGNING AN OPTIMIZATION MODEL FOR PREVENTING THE WASTE TIME IN THE ACTIVITY CYCLE OF AN ORGANIZATION
76
89
EN
M.
Taleghani
Department of post – graduate Islamic Azad university, Rasht, Iran
taleghani@iaurasht.ac.ir
Y.
Modabbernia
Department of post – graduate Islamic Azad university, Rasht, Iran
This article proposes an optimization model for preventing the waste of time in the educational and research activities' cycle of an organization such as a university. For this purpose and in order to increase efficiency and prevent the waste of time; the graph theory models have been used. The educational and research activities diagrams of a supposed university is drawn by the use of graphs theory model, and then these graphs are analyzed, then in order to design a model, the units, activities and the time of doing each activity are symbolized, and the collected data are presented in the form of matrix. In this article two procedures are suggested for optimization; using subgraphs for every activity cycle in order to shorten the activity cycles and minimizing the time of doing each work. The algorithm of time minimizing is based on recognizing and determining the edges with the most weight as the maximum time. Also the influential factors on the waste of time in activity cycle are recognized and then replaced or omitted.
Graph Theory,SUBGRAPH,Optimization,ACTIVITY CYCLE,UNIT,WORK,WORKING TIME
http://ijo.iaurasht.ac.ir/article_513239.html
http://ijo.iaurasht.ac.ir/article_513239_a829e56ed825af242a8931889c6efcdc.pdf
Islamic Azad University, Rasht Branch
Iranian Journal of Optimization
2588-5723
2008-5427
01
2
2009
07
01
THE USE OF SEMI INHERITED LU FACTORIZATION OF MATRICES IN INTERPOLATION OF DATA
90
106
EN
MOHAMMAD ALI
FARIBORZI ARAGHI
Department of mathematics, Islamic Azad University,Central Tehran Branch,
Tehran, Iran
mafa_i@yahoo.com
Amir
Fallahzadeh
Department of mathematics, Islamic Azad University,Central Tehran Branch,
Tehran, Iran
The polynomial interpolation in one dimensional space R is an important method to approximate the functions. The Lagrange and Newton methods are two well known types of interpolations. In this work, we describe the semi inherited interpolation for approximating the values of a function. In this case, the interpolation matrix has the semi inherited LU factorization.
SEMI INHERITED LU FACTORIZATION,INTERPOLATION MATRIX,SEMI INHERITED INTERPOLATION
http://ijo.iaurasht.ac.ir/article_513241.html
http://ijo.iaurasht.ac.ir/article_513241_6b96aef6042079838dadd9287db3e2ba.pdf