FRACTIONAL PROGRAMMING
DOI:
https://doi.org/10.24867/01JV02BojovicKeywords:
linear and nonlinear programming, fractional programming, simplex methodAbstract
The research topic of this papaer is to look at the nonlinear optimization theory and algorithms useful for solving the problem of fractional programming, with particular reference to the approximation of nonlinear problems to linear, as well as solving the problem of linear programming, where the greatest attention is devoted to the simplex method. Fractional linear programming (FLP) is a method for obtaining a nonlinear programming problem class solution where objective function can be represented as the quotient of two new functions, assuming that the function in the denominator on its domain does not reach a zero value. Constraints can be in a linear or nonlinear form. The authors have opted to show the essence of the FLP model IN which the given constraints are linear. Fractional programming problems often arise in practice, especially in economic optimization.
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