Hanapin
variational
01
pagkakaiba-iba
relating to methods or principles that involve finding the values of variables that optimize certain quantities, often by minimizing or maximizing functions
Halimbawa
Variational autoencoders are a type of neural network architecture used in machine learning for generative modeling.
Variational principles are used in physics to derive equations of motion for systems by minimizing or maximizing action.
Variational methods are employed in optimization algorithms to find solutions that minimize or maximize objective functions.
In quantum mechanics, variational methods are used to approximate the ground state energy of quantum systems.
