comparing the empirical spectral density and the predicted (theoretical) self-adjoint pseudospecturum of non-Hermitian Kronecker random matrices simulating the empirical spectral density of ...

👉 Learn how to classify polynomials based on the number of terms as well as the leading coefficient and the degree. When we are classifying polynomials by the number of terms, we will focus on ...

1: Poly(-2.44501297784345*x1*x2 + 7.33503893353053*x1 + 7.1307008570547*x2 - 21.3921025711646, x1, x2, domain='RR') 2: Poly(0.596268573223996*x1**2*x2**2 - 3. ...

Abstract: An examination is made of the aperiodic property of interval polynomials. The authors also characterize the zero locations of aperiodic interval polynomials. Examples are given that clarify ...

Abstract: We consider analytical modeling of the anterior corneal surface with a set of orthogonal basis functions that are a product of radial polynomials and angular functions. Several candidate ...