% Bij^g=Bij - delta_ij * (sum k over g)B_ik % Bij^g=(Aij-kikj/2m)-delta_ij(sum k over g)(A(g)_ik-deg(g)_i deg(k)_j/2(m_g)) % Bij^g=(Aij-kikj/2m)-delta_ij(k_i^(g)-k_i ...

A=magic(4) %to create 4x4 matrix with no element repeating [V,D]=eig(A); disp('Eigen value is '); disp(D); disp('Eigen vector is '); disp(V); x=A(2,:) y=A([2,4],:) z ...

Abstract: An eigenvector-based algorithm with different smoothing parameters has been recently developed for one and two dimensional direction of arrival estimation using a single snapshot and finite ...

Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands With the increasing use of functional brain network properties as markers of brain disorders, efficient ...

Principal components analysis is perhaps the most widely used method for exploring multivariate data. In this paper, we propose a variability plot composed of measures on the stability of each ...

This paper provides an analogue to the well-known theorem that commuting matrices over the complex numbers have an eigenvector in common. This analogue applies to the case where it is known only that ...