optimeringsløser
An optimeringsløser, or optimization solver, is a computational tool used to find the best possible solution to a problem that can be expressed in terms of maximizing or minimizing a specific objective function, subject to a set of constraints. These solvers are fundamental in fields like operations research, computer science, engineering, and economics.
The core principle behind an optimeringsløser is to systematically explore the feasible region, which is the
Common types of optimization problems include linear programming, where both the objective function and constraints are
Optimization solvers utilize a wide range of algorithms, such as gradient descent, simplex method, interior-point methods,