In this paper, we consider a Fuzzy Stochastic Linear Fractional Programming problem (FSLFP). In this problem, the coefficients and scalars in the objective func ...

In this paper, we give an up-to-date overview of how important ideas from optimization, probability theory and multicriteria decision analysis are interwoven to address situations where the presence ...

Linear and nonlinear programming : an introduction to linear methods in mathematical programming by Hartley, Roger, 1946- Publication date 1985 Topics Linear programming, Nonlinear programming, ...

This is a preview. Log in through your library . Abstract This paper describes how linear programming models can be used to solve crude-oil producing problems for the purpose of economic planning of ...

Mathematical programming An operations research technique that solves problems in which an optimal value is sought subject to specified constraints. Mathematical programming models include linear ...

In many real-life situations, it is necessary to optimize two or more objects simultaneously. In such problems, the objectives under consideration conflict with each other, and optimizing a solution ...

This paper offers a qualitative theoretical analysis of the error that may arise when a linear programming calculation is used to solve a problem involving some ...

Set of simple mathematical classes in C# (Vectors, Matrixes, Polynoms, Systems of linear equations, Integrals methods, Complex numbers, Rational numbers, Graphs, Methods for solving differential ...