mathjs_info.txt

math.size(A)

math.transpose(A)
math.inv(A)

math.identity(n)._data

math.add(A,B)         addition (can also do element wise of matrix plus scalar)
math.subtract(A,B)
math.multiply(A,B,C) matrix multiplication (can also do matrix times scalar)
math.dotMultiply(A,B) element wise multiplication
math.divide(A,B)
math.cross(x,y)       cross product
math.dot(x,y)           dot product

math.concat()
math.resize(A,[m,n])

creates range object, so put ._data to get the array:
math.zeros(m,n)._data
math.ones(m,n)._data
math.range(a,b,c)._data            a to b (not including b) with step size c


var B=math.eigs(A)        eigenvalues and vectors
B.values                    eigenvalues
B.vectors                   eigenvectors


math.column(A,n)        returns nth column from matrix

const d = [[1, 2], [3, 4]]
math.subset(d, math.index(1, 0))        // returns 3
math.subset(d, math.index([0, 1], 1))   // returns [[2], [4]]