Book Review: Matrix-geometric solutions in stochastic models, an algorithmic approach

Matrix-geometric solutions in stochastic models - an algorithmic approach

Book Review: Machine Learning: An Algorithmic Perspective

When several good books on a subject are available the pedagogical style of a book becomes more than a secondary consideration. This is particularly true in the case of mathematical and algorithmic subjects such as machine learning, where the level of formal rigor is a consideration. Peter Naur spent a portion of his career considering this issue. As the ’N’ in the Backus-Naur formalism (BNF), ...

Book review of Structural Bioinformatics: An Algorithmic Approach by Forbes J. Burkowski

The field of structural bioinformatics has been extensively explored in the recent years. A glance into the on-line book store Amazon.com, Inc. shows several hundred titles related to this topic. Ordering them according to the relevance gives the Burkowski's book the 2nd position. To make a profound analysis of the book and to compare it to the others published so far suggests that the reviewer...

Algorithmic Analysis of Stochastic Models

The progress in computing and communications technologies made in the last quarter of the past Century has not only ushered in the \Information Age," but it has also in uenced the basic sciences, including mathematics, in fundamental ways. Thanks to the signi cantly increased computing power, mathematicians can now augment classical techniques of analysis, proof and solution with an algorithmic...

Bernoulli matrix approach for matrix differential models of first-order

The current paper contributes a novel framework for solving a class of linear matrix differential equations. To do so, the operational matrix of the derivative based on the shifted Bernoulli polynomials together with the collocation method are exploited to reduce the main problem to system of linear matrix equations. An error estimation of presented method is provided. Numerical experiments are...