Global Analysis and Discrete MathematicsGlobal Analysis and Discrete Mathematics
http://gadm.du.ac.ir/
Wed, 17 Jul 2019 13:05:11 +0100FeedCreatorGlobal Analysis and Discrete Mathematics
http://gadm.du.ac.ir/
Feed provided by Global Analysis and Discrete Mathematics. Click to visit.Forecasting Palladium Price Using GM(1,1)
http://gadm.du.ac.ir/article_114_28.html
Palladium is an element of PGM group that has significant physical properties. This leads to more attention to this metal. Due to vast applications of palladium in industry and its usage in jewelry, its price plays an important role in economic. Therefore, forecasting its price is crucial subject in economic and engineering design. This paper proposes the model GM(1,1) to predict the Palladium price. The method is applied in experimental data for two recent years. The results show that the method is robust and accurate.Wed, 31 Oct 2018 20:30:00 +0100Fuzzy Linear Programming Method for Deriving Priorities in the Fuzzy Analytic Hierarchy Process
http://gadm.du.ac.ir/article_115_28.html
There are various methods for obtaining the preference vector of pair-wise comparison matrix factors. These methods can be employed when the elements of pair-wise comparison matrix are crisp while they are inefficient for fuzzy elements of pair-wise comparison matrix. In this paper, a method is proposed by which the preference vector of pair-wise comparison matrix elements can be obtained even if these elements are fuzzy. First we describe the method for the case of crisp pair-wise comparison matrix and then extend it to the case in which the pair-wise comparison matrix elements are fuzzy, finally, conclusion will be provided.Wed, 31 Oct 2018 20:30:00 +0100Mittag-Leffler-Hyers-Ulam Stability of Fractional Differential Equation
http://gadm.du.ac.ir/article_116_28.html
In this article, we study the Mittag-Leffler-Hyers-Ulam and Mittag-Leffler-Hyers-Ulam-Rassias stability of a class of fractional differential equation with boundary condition.Wed, 31 Oct 2018 20:30:00 +0100Finite Time Mix Synchronization of Delay Fractional-Order Chaotic Systems
http://gadm.du.ac.ir/article_117_28.html
Chaos synchronization of coupled fractional order differential equation is receiving increasing attention because of its potential applications in secure communications and control processing. The aim of this paper is synchronization between two identical or different delay fractional-order chaotic systems in finite time. At first, the predictor-corrector method is used to obtain the solutions of delay fractional differential equations in discrete times. The mix synchronization problem is formulated as an optimization problem. A modified version of particle swarm optimization (MPSO) method is used for solving the problem. It is shown that the proposed method can be applied in wide range of master-slave systems with commensurate or non-commensurate fractional orders. Numerical simulations show the efficiency and robustness of the proposed method.Wed, 31 Oct 2018 20:30:00 +0100Semi-amenability and Connes Semi-amenability of Banach Algebras
http://gadm.du.ac.ir/article_118_28.html
Let A be a Banach algebra and X a Banach A-bimodule, the derivation D : A → X is semi-inner if there are ξ, μ ∈ X such that D(a) = a.ξ − μ.a, (a ∈ A). A is called semi-amenable if every derivation D : A → X∗ is semi-inner. The dual Banach algebra A is Connes semi-amenable (resp. approximately semi-amenable) if, every D ∈ Z1w _ (A,X), for each normal, dual Banach A-bimodule X, is semi -inner (resp. approximately semi-inner). We will investigate on some properties of semi-amenability and Connes semiamenability of Banach algebras which former have been studied for amenability case.Wed, 31 Oct 2018 20:30:00 +0100Algorithms for Segmenting Time Series
http://gadm.du.ac.ir/article_128_28.html
As with most computer science problems, representation of the data is the key to ecient and eective solutions. Piecewise linear representation has been used for the representation of the data. This representation has been used by various researchers to support clustering, classication, indexing and association rule mining of time series data. A variety of algorithms have been proposed to obtain this representation, with several algorithms having been independently rediscovered several times. In this paper, we examine the techniques and then introduce the best-known algorithm.Wed, 31 Oct 2018 20:30:00 +0100