Quadratic Programming

Quadratic Programming is a type of mathematical optimization technique where the goal is to find the best solution to a problem that can be expressed with a quadratic objective function, usually involving variables that are squared. It is used when the relationship between variables is not just linear (straight-line), but involves curves. This method is useful in various fields such as finance for portfolio optimization, engineering for resource allocation, and machine learning for training models. Essentially, it helps make informed decisions by identifying the optimal combination of variables under given constraints.