نتایج جستجو برای: fractional programming

تعداد نتایج: 387843  

Journal: :Rairo-operations Research 2021

In this paper, we are interested in solving a linear fractional program by two different approaches. The first one is based on interior point methods which makes it possible to solve an equivalent the program. second allows us variational inequalities problem efficient projection method. Numerical tests were carried out approaches and comparative study was out. numerical show clearly that more ...

Journal: :Int. J. Math. Mathematical Sciences 2005
G. J. Zalmai

where An is the n-fold product of the σ-algebra A of subsets of a given set X , Fi, Gi, i∈ p ≡ {1,2, . . . , p}, and Hj , j ∈ q, are real-valued functions defined on An, and for each i∈ p, Gi(S) > 0 for all S∈An such that Hj(S) ≤ 0, j ∈ q. Optimization problems of this type in which the functions Fi, Gi, i∈ p, and Hj , j ∈ q, are defined on a subset of Rn (n-dimensional Euclidean space) are cal...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور استان مازندران - دانشکده ریاضی 1390

abstract this thesis includes five chapter : the first chapter assign to establish fuzzy mathematics requirement and introduction of liner programming in thesis. the second chapter we introduce a multilevel linear programming problems. the third chapter we proposed interactive fuzzy programming which consists of two phases , the study termination conditions of algorithm we show a satisfac...

Journal: :Journal of Computational and Applied Mathematics 2003

2015
M. Saraj N. Safaei

In this paper, we integrate goal programming (GP), Taylor Series, Kuhn-Tucker conditions and Penalty Function approaches to solve linear fractional bi-level programming (LFBLP)problems. As we know, the Taylor Series is having the property of transforming fractional functions to a polynomial. In the present article by Taylor Series we obtain polynomial objective functions which are equivalent to...

Journal: :CoRR 2016
Alessio Zappone Emil Björnson Luca Sanguinetti Eduard A. Jorswieck

The characterization of the global maximum of energy efficiency (EE) problems in wireless networks is a challenging problem due to its nonconvex nature in interference channels. The aim of this work is to develop a new and general framework to achieve globally optimal power control solutions. First, the hidden monotonic structure of the most common EE maximization problems is exploited jointly ...

Journal: :International Journal of Soft Computing, Mathematics and Control 2015

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