Trevi drinker

(1) Attitude: All about combinations Suppose that we have a bunch of vectors(u, v, w ...) and we want to make combinations of them. If we write this process into the equation, that will be like below. x₁*u + x₂*v + x₃*w (x = scalar) Making an equation is a nice solution; however, this kind of expression has limits in the case of dealing with huge numbers of combinations. Imagine we have to deal ..

(1) Matrix K Below are the traits that we can found looking at the given matrix K. Symmetric: Easy definition: Original matrix is the same as the matrix which is flipped to the diagonal line of the matrix. Mathematical definition: K = K^T (K^T is a transpose matrix of K) Sparse: Mostly Zeros In the given matrix, we can not say it a sparse matrix; however, considering if we expand the matrix with..