Quasi-Newton Methods (QNMs) are generally a class of optimization methods that are used in Non-Linear
Programming when full Newton’s Methods are either too time consuming or difficult to use. More specifically,
these methods are used to find the global minimum of a function f(x) that is twice-differentiable. There are distinct...