the relationship between the randic , wiener, hosoya , balaban, schultz indices, harary numbers anddistance matrix to enthalpies of formation (airf), heat capacity, (cp) , enthalpies of combustion (ah °c ),enthalpy of vaporization (ah °vap) and normal boiling points (bpk)of c2 c10 normal alkanes isrepresented

in this article we study steensen method to solve nonlinear matrix equation x+a^t x^(-1) a=q, when a is a normal matrix. we establish some conditions that generate a sequence of positive denite matrices which converges to solution of this equation.

In this article we study Steffensen method to solve nonlinear matrix equation $X+A^T X^{(-1)}A=Q$, when $A$ is a normal matrix. We establish some conditions that generate a sequence of positive denite matrices which converges to solution of this equation.

In this paper, we show that a matrix A in Mn(C) that has n coneigenvectors, where coneigenvaluesassociated with them are distinct, is condiagonalizable. And also show that if allconeigenvalues of conjugate-normal matrix A be real, then it is symmetric.  

background: breast cancer is one of the most common cancers in the world, particularly in iran. there are many genomic and molecular factors that cause the occurrence of breast cancer. many markers are associated with tumor invasiveness. matrix metalloproteinase includes a family of zinc-dependent endopeptidases that degrade various components of the extracellular matrix and basement membrane. ...

The expressions for generalized inverses of a normal matrix are discussed by its Schur decomposition.

Let X1 and X2 be two identically distributed random variables. Suppose that X1 | X2=x2 has a N(ax2+b, _) distribution for all x2 # R, where & 0. Ahsanullah (1985) showed that these conditions imply |a|<1, X1 , and X2 have a common normal distribution with mean b (1&a;) and variance _ (1&a;), and the joint distribution of X1 and X2 is a bivariate normal distribution with covariance a_ (...

Here we offer a new randomized parallel algorithm that determines the Smith normal form of a matrix with entries being univariate polynomials with coefficients in an arbitrary field. The algorithm has two important advantages over our previous one: the multipliers relating the Smith form to the input matrix are computed, and the algorithm is probabilistic of Las Vegas type, i.e., always finds t...