Linear and nonlinear programming are two types of optimization methods that can help you find the best solution to a problem involving decision variables, constraints, and an objective function.

Unravel non-linear challenges using the proposed modification simplex technique. Illustrated with numerical examples and problems. In this paper, a cubic objective programming ... N. (2022) New ...

MATLAB Solutions: I provide MATLAB scripts and functions that implement the optimization algorithms, constraints, and objective functions for each problem. Sensitivity Analysis: For some problems, I ...

Linear programming assumes that both the objective function and constraints are linear, yet real-world problems often involve diminishing returns or quadratic relationships that LP can’t capture ...

The problem is Mixed-Integer Non-Linear Programming due to presence of a square-root term in the objective function First strategy is to solve using BARON, the most well-known MINLP solver. NEOS ...

This work deals with a class of nonlinear bilevel programming problems with nonconvex objective functions, in which the follower objective is a function of linear expression of all variables and the ...

Learn how to solve multi-objective nonlinear programming problems with fuzzy parameters using a modified method based on normalized trade-off weights. Explore the stability set and algorithm for ...

A new algorithm based on fuzzy inference is proposed for nonlinear mathematical programming. The characteristics of nonlinear programming are that the exact functional relationship between the ...