linear programming
Sensitivity Analysis for Interval-valued Fully Fuzzy Linear Programming Problems
... fuzzy linear programming ...number linear programming problems in which some or all the variables are restricted to remain within fuzzy lower and fuzzy upper ...fuzzy linear ...
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Providing an active learning environment for introducing linear programming
... “Linear Programming” GeoGebra applet [14] allows the user to introduce any LP (or Integer Pro- gramming) instance with two variables and shows its graphical representation – the plotted window of the ...
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Multi-Objective Fuzzy Linear Programming In Agricultural Production Planning
... Rice is the staple food for more than half of the human population, and in Asia alone more than 2 billion people depend on rice and its products for their food intake. Rice is the single most important crop occupying 34 ...
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Two-variable linear programming: a graphical tool with mathematica
... of linear programming which states that the optimal solution to a linear program, if it exists, is attained at (at least) one vertex of the feasible solutions ...‘Parametric Linear ...
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Linear Programming, the Simplex Algorithm and Simple Polytopes
... be linear objective function which attains different values on different vertices of ...a linear objective function ...concerning linear programming is that the maximum of on S is attained ...
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A primal-dual exterior point algorithm for linear programming problems
... implementation. Programming a linear optimization algorithm differs much more from its simple pseudo-code ...description. Linear problems of small sizes can be easily solved without emphasizing the ...
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Polynomial Penalty Method for Solving Linear Programming Problems
... [2] Kas, P., Klafszky, E., & Malyusz, L. (1999). Convex program based on the Young inequality and its relation to linear programming. Central European Journal for Operations Research. 7(3). pp. 291−304. ...
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420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL
... One of the important issues of LP is that the modeling needs well-defined and precise data, which in general involves high information costs. Indeed, this is a task almost impossible to accomplish in many cases, due to ...
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DESIGN OF MICROIRRIGATION SYSTEMS IN SLOPING LANDS USING LINEAR PROGRAMMING
... Linear programming (LP) models have been used to design permanent irrigation sys- tems (PLEBAN & AMIR, 1981; ORON & KARMELI, 1981; ORON & WALKER, 1981; BENAMI & OFEN, 1984; SAAD et ...a ...
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Interactive Fuzzy Decision Making for Hierarchical Multiobjective Stochastic Linear Programming Problems
... stochastic linear programming problems (HMOP) where multiple decision makers in a hierarchical organization have their own multiple objective linear functions together with common linear ...of ...
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Learning oncogenetic networks by reducing to mixed integer linear programming.
... Cancer can be a result of accumulation of different types of genetic mutations such as copy number aberrations. The data from tumors are cross-sectional and do not contain the temporal order of the genetic events. ...
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An Approach to Solve Bilevel Quadratic-linear Programming Problems
... quadratic linear programming problem (1) can be transformed into the usual single objective programming problem ...the programming problem (4), all the constraints except q 2 ( 1 1 ) ...
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Linear Programming knowledge in First Stage Higher Education Courses
... Portugal, Linear Programming (LP) is a compulsory part of the Mathematics program in some High School curricular units since the school year 2004/05, being important that real life problems or its ...
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Station Cone Algorithm for Linear Programming
... their numbers are limited on by a polynimial, then we can construct a polynomial algorithm for linear programming. 3. Test data is generated randomly. All input matrix are full density. This has made the ...
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AIMMS Modeling Guide - Linear Programming Tricks
... a linear programming model. This linear programming model is equivalent to the fractional objective model stated above, provided t > 0 at the optimal ...
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A Simplex Based Parametric Programming Method for the Large Linear Programming Problem
... Parametric programming can provide the behavior of related decision variables values with respect to the variations of the ...large linear programming problems, the traditional parametric ...
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A LINEAR PROGRAMMING METHOD TO ENHANCE RESOURCE UTILIZATION CASE OF ETHIOPIAN APPAREL SECTOR
... Ethiopian apparel sector remains trivial. Apart from the great ambition of the government to modernize the apparel sector with the objective of attracting foreign investors, the efforts made so far to improve the ...
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A Comparison Among Simple Algorithms for Linear Programming
... This work presents a comparison between a family of simple algorithms for linear programming and the optimal pair adjustment algorithm. This family originated from the generalization of the idea presented ...
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Fuzzy Approaches for Multiobjective Fuzzy Random Linear Programming Problems Through a Probability Maximization Model
... fuzzy linear programming problem with random variable coefficients and fuzzy random variable ...fuzzy linear programming problem with random variable ...fuzzy linear pro- gramming ...
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Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals.
... In this paper, we propose a new and flexible binary classification method, namely Multi-task Linear Programming Discriminant (MLPD) analysis. The proposed MLPD method can be viewed as a generalization of ...
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