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.

Finally a short overview of relevant literature on algorithmic approaches for efficiently solving linear and nonlinear semidefinite programming is provided. Semidefinite programming (SDP) is one of ...

Linear programming (LP) is a technique that deals with problems that have linear constraints and objectives. For example, if you want to maximize your profit by producing and selling different ...

In the context of my coursework for the Non-linear Programming course at university, I tackled various non-linear optimization problems using MATLAB. This project serves as a collection of my ...

Write down the Linear Program (LP ... To solve an Integer Programming problem, we can use the Branch and Bound algorithm: # IP: a minimization integer program with constraints and objective function ...

We propose a non-linear programming formulation for this problem, for a complex, multi-component system. Results of a case study for a combined cycle thermal power plant indicate the applicability of ...

namely FWLP (Frank-Wolfe Linear Programming) and FWLP-P. The former iteratively applies the Frank-Wolfe algorithm to both the primal and dual of the saddle point formulation of a standard-form LP. The ...