@Foone@Enichan it's neat just how many things are "just" polynomials or dot products once you unravel things and examine them closer
@Foone@Enichan for example, lerp is a linear equation in disguise the polynomial form of
lerp(a,b,t) is
(b-a)t + a
@Foone@Enichan the length of a vector v can be defined using the dot product as √(v•v) which is also coordinate free, as in, works in any dimension! which is pretty neat!!
@Foone@Enichan cosine and sine? well they are effectively a dot product and a wedge product in disguise, in a way. for two normalized 2D vectors a and b, with the angle θ between them, then: cos(θ) = a • b
sin(θ) = a ∧ b
@Foone@Enichan (in 3D the wedge product gets more complicated and we usually shortcut it by using the cross product instead of getting into geometric algebra and bivectors)