A new Schulz-type method to compute the Moore-Penrose inverse of a matrix is proposed. Every iteration of the method involves four matrix multiplications. It is proved that this method converge with fourth-order. A wide set of numerical comparisons shows that the average number of matrix multiplications and the average CPU time of our method are considerably less than those of other methods.

b a c k g r o u n d  & aim: it is very helpful to classify and predict the clinical  category  of a sample based  on  its  gene  expression  profile.  this  study  was  conducted  to predict  tissues  of colorectal adenoma,  adenocarcinoma,  and  paired  normal  in  colon  based  on  microarray  data  using  nearest shrunken centroid method. methods   &  materials:    in  this  study,   the  co...

Abstract We introduce a methodology based on averaging similarity matrices with the aim of integrating layers multiplex network into single monoplex network. Multiplex networks are adopted for modelling wide variety real-world frameworks, such as multi-type relations in social, economic and biological structures. More specifically, used when different nature (layers) arise between set elements ...

We present an algorithm for clustering multivariate normal distributions based upon the symmetric, Kullback-Leibler divergence. Optimal mean vector and covariance matrix of the centroid normal distribution are derived and a set of Riccati matrix equations is used to find the optimal covariance matrix. The solutions are found iteratively by alternating the intermediate mean and covariance soluti...

Character recognition is the important area in image processing and pattern recognition fields. Handwritten character recognition has received extensive attention in academic and production fields. The recognition system can be either on-line or off-line. Off-line handwriting recognition is the subfield of optical character recognition. India is a multi-lingual and multi-script country, where e...

The formulation of quantum statistical mechanics based on the path centroid variable in Feynman path integration is generalized to a phase space perspective, thereby including the momentum as an independent dynamical variable. By virtue of this approach, operator averages and imaginary time correlation functions can be expressed in terms of an averaging over the multidimensional phase space cen...

The component-by-component construction algorithm constructs the generating vector for a rank-1 lattice one component at a time by minimizing the worst-case error in each step. This algorithm can be formulated elegantly as a repeated matrixvector product, where the matrix-vector product expresses the calculation of the worst-case error in that step. As was shown in an earlier paper, this matrix...

The present study uses the envelope modulation spectrum (EMS) measure to assess the effect of language, speaking style, and age on rhythm. Three experiments using a weighted mean of the EMS called the spectral centroid were conducted. The first examined rhythm in English and Croatian across conversational and clear speaking styles. The second experiment compared rhythmic characteristics of mono...