This README introduces the Simplex Method, a popular algorithm for solving linear programming problems in R. Linear programming optimizes an objective function, such as maximizing or minimizing a ...

In this paper, we propose a new method for designing all-pass (AP) digital filters for equalizing the nonlinear phase characteristics of non-linear digital comm ...

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

The method used in this technique is binary integer linear programming. The results shows that the method adopted can be effectively used in practical. This paper suggests the use of phasor ...

CSCI 5654: Linear Programming CSCI 5654: Linear Programming Instructor Fall 2016: Sriram Sankaranarayanan Prerequisites Calculus I,II + Algorithms + Linear Algebra. Topics Covered Roughly, we will ...

A Comprehensive Linear Programming Solver Program, Incorporating Diverse Algorithms: Graphical Method, Dantzig's Simplex Method, Bland's Simplex Method, Two-Phase Simplex Method, Dual Method, Dual ...

Flowchart of the optimization process using the weak conditioned combinatorial linear programming method and nonlinear estimation.

Ron Shamir, Probabilistic Analysis in Linear Programming, Statistical Science, Vol. 8, No. 1, Report from the Committee on Applied and Theoretical Statistics of the National Research Council on ...

S. Zionts and J. Wallenius, “An interactive multiple ob-jective linear programming method for a class of under-lying nonlinear utility functions,” Management Science, Vol. 29, pp. 519–529, 1983. - ...