Mathematical methods for optimizing program code

The article discusses the main mathematical methods for optimizing software code, including the simplex method, projective gradient descent, the ellipsoid method and the inner point method. Each method is evaluated based on its applicability, effectiveness and limitations. It is revealed that the inner point method has high efficiency and applicability in a wide range of software code optimization tasks. The analysis of the study helps to understand which methods are most effective in various software development scenarios.