Linear programming, a method for optimizing a linear objective function subject to constraints, has seen significant advancements over the past century. From the Simplex algorithm in 1947 to the ...

A linear programming problem is one that is concerned with finding the optimal value (maximum or minimum) of a linear function of several variables (called objective function) subject to the ...

A linear programming problem is one that is concerned with finding the optimal value (maximum or minimum) of a linear function of several variables (called objective function) subject to the ...

Nonlinear programming problems are mathematical programming problems with nonlinear/linear objective functions and linear/nonlinear constraints. There are several approaches for solving various sorts ...

In linear programming, the objective function is the function that it is desired to maximize or minimize. The human interaction equivalent is what matters most. Agreement on that, and on the steps ...

The purpose of this paper is to present a Monte Carlo solution for a random objective function coefficient linear programming problem that can be executed in Excel. A solution was given in Ridley and ...

Therefore, research on the uncertain multi-objective programming problem is highly relevant, particularly those problems whose objective functions are correlated ... objective programming problem via ...

The expressed transcripts, represented as a set of paths in the splice graph, are inferred ... and low-expression transcripts. The objective of the linear programming instance is taken to be ...