Results 11 to 20 of about 750,593 (188)

Definable Ellipsoid Method, Sums-of-Squares Proofs, and the Isomorphism Problem [PDF]

open access: yes, 2018
The ellipsoid method is an algorithm that solves the (weak) feasibility and linear optimization problems for convex sets by making oracle calls to their (weak) separation problem.
Atserias, Albert, Ochremiak, Joanna
core   +5 more sources

An Equivalent Linear Programming Form of General Linear Fractional Programming: A Duality Approach

open access: yesMathematics, 2021
Linear fractional programming has been an important planning tool for the past four decades. The main contribution of this study is to show, under some assumptions, for a linear programming problem, that there are two different dual problems (one linear ...
Mehdi Toloo
doaj   +1 more source

A New Method for Solving Quadratic Fractional Programing Problems

open access: yesTikrit Journal of Pure Science, 2021
In this article, the given algorithms were expanded and a methodology was developed to solve an objective function of a quadratic fractional programming problem (QFPP) with linear constraints. A new method called RBM was introduced to directly solve the
Mediya B. Mrakhan   +4 more
doaj   +1 more source

Penerapan algoritma Dinkelbach dan transformasi Charnes Cooper pada pemrograman fraksional linear di UD Bintang Furniture

open access: yesMajalah Ilmiah Matematika dan Statistika, 2022
Linear fractional programming is a special case of non-linear programming with an objective function consisting of the ratio of two linear functions. The problem can be solved using the Dinkelbach algorithm and the Charnes Cooper transformation.
Muhammad Wakhid Musthofa   +1 more
doaj   +1 more source

Neutrosophic Linear Programming Problem

open access: yesMathematical Sciences Letters, 2017
Smarandache presented neutrosophic theory as a tool for handling undetermined information. Wang et al. introduced a single valued neutrosophic set that is a special neutrosophic sets and can be used expediently to deal with real-world problems, especially in decision support.
Abdel-Nasser Hussian   +3 more
openaire   +1 more source

An Accelerating Algorithm for Linear Multiplicative Programming Problem

open access: yesIEEE Access, 2020
By reformulating the linear multiplicative programming problem (LMP) as an equivalent nonconvex programming problem (EP), we present a new accelerating outcome space branch-and-bound algorithm for globally solving the problem (LMP).
Shuai Tang, Zhisong Hou, Longquan Yong
doaj   +1 more source

Linear Programming in the Semi-streaming Model with Application to the Maximum Matching Problem [PDF]

open access: yes, 2011
In this paper, we study linear programming based approaches to the maximum matching problem in the semi-streaming model. The semi-streaming model has gained attention as a model for processing massive graphs as the importance of such graphs has increased.
A. McGregor   +13 more
core   +4 more sources

A MOLFP Method for Solving Linear Fractional Programming Under Fuzzy Environment [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2017
In this paper, a solution procedure is proposed to solve Fully Fuzzy Linear Fractional Programming (FFLFP) problem where all the variables and parameters are triangular fuzzy numbers.
S.K. Das, T. Mandal
doaj   +1 more source

A nonlinear approach for neutrosophic linear programming

open access: yesJournal of Applied Research on Industrial Engineering, 2019
Traditional linearl programming usually handles optimization problems involving deterministic objective functions and/or constrained functions. However, uncertainty also exists in real problems.
Seyed Ahmad Edalatpanah
doaj   +1 more source

Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming

open access: yesJournal of Applied Mathematics, 2013
In the current literatures, there are several models of fully fuzzy linear programming (FFLP) problems where all the parameters and variables were fuzzy numbers but the constraints were crisp equality or inequality.
Haifang Cheng, Weilai Huang, Jianhu Cai
doaj   +1 more source

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