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.

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 ...

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 ...

A nonlinear programming problem consists of four main elements: a decision variable vector, an objective function, a set of constraints, and a feasible region. The decision variable vector is a ...

Operations research professionals need the best linear programming software for Windows to solve optimization ... You can also find here a program built to exploit parallelism, to run different sets ...

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 ...

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 ...

However, QCOpt reformulates these non-linear constraints using well-known linearization techniques such that the resulting design problem is solved as a mixed-integer linear programming model. In this ...