R. Radhakrishnan K. Mark B. Powell High-availability service management (HASM) is defined as information technology (IT) service management that is designed to meet the business demand for availability of critical IT and IT-enabled business services. HASM requires the use of the Six Sigma method and analytical tools applied to key service management processes and services; event and incident mo...

‎the global fom and gmres algorithms are among the effective‎ ‎methods to solve sylvester matrix equations‎. ‎in this paper‎, ‎we‎ ‎study these algorithms in the case that the coefficient matrices‎ ‎are real symmetric (real symmetric positive definite) and extract‎ ‎two cg-type algorithms for solving generalized sylvester matrix‎ ‎equations‎. ‎the proposed methods are iterative projection metho...

A new arbitrary Polynomial Chaos (aPC) method is presented for moderately high-dimensional problems characterised by limited input data availability. The proposed methodology improves the algorithm of aPC and extends the method, that was previously only introduced as tensor product expansion, to moderately high-dimensional stochastic problems. The fundamental idea of aPC is to use the statistic...

Food consists of a complex group of substances that differ in chemical composition and physical structure. Collectively these substances form a matrix and it is the behaviour of this matrix which determines the digestibility, the rate and extent of nutrient release, from a food during normal gut transit. In the process of digestion both chemical and physical degradation of food occurs. Chemical...

High availability requirement of the network is becoming essential for high growth disruptive technology companies. For businesses which require migration to networks supporting scalability and high availability, it is important to analyze the various factors and the cost effectiveness for choosing the optimal solution for them. The current work considers this important problem and presents an ...

SUMMARY The R package SIMoNe (Statistical Inference for MOdular NEtworks) enables inference of gene-regulatory networks based on partial correlation coefficients from microarray experiments. Modelling gene expression data with a Gaussian graphical model (hereafter GGM), the algorithm estimates non-zero entries of the concentration matrix, in a sparse and possibly high-dimensional setting. Its o...

In this paper, getting an high-efficiency parallel algorithm to solve sparse block pentadiagonal linear systems suitable for vectors and parallel processors, stair matrices are used to construct some parallel polynomial approximate inverse preconditioners. These preconditioners are appropriate when the desired target is to maximize parallelism. Moreover, some theoretical results about these pre...