Ivan Lirkov & Svetozar D. Margenov 
Large-Scale Scientific Computing [PDF ebook] 
7th International Conference, LSSC 2009, Sozopol, Bulgaria, June 4-8, 2009 Revised Papers

This volume contains 28 papers including 4 keynote papers presented at the 10th IFIP WG7.5 Working Conference, focusing on the reliability and optimization of structural …

This volume contains information offered at the international conference held in Curacao, Netherlands Antilles. It presents the latest developments in the most active areas of abelian groups, …

This book aims to develop models and modeling techniques that are useful when applied to all complex systems. It adopts both analytic tools and computer simulation. The book is intended for students …

This book presents to the reader a modern axiomatic construction of three-dimensional Euclidean geometry in a rigorous and accessible form. It is helpful for high school teachers who are interested …

This is a developing area of modern probability theory, which has applications in many areas. This volume is devoted to the systematic study of results on large deviations in situations where …

Presents the proceedings of the Second International Conference on Commutative Ring Theory in Fes, Morocco. The text details developments in commutative algebra, highlighting the theory of rings and …

This book presents a challenging diversion to mathematics enthusiasts. Divided into three sections, the author gives some historical notes, a step-by-step solution of a sample alphametic, and some …

Thermal Stresses, 2nd Edition is the first book comprehensive volume on thermal stresses. It provides a sound grounding in the fundamental theory of thermal stresses as well as includes a multitude …

The literature on the spectral analysis of second order elliptic differential operators contains a great deal of information on the spectral functions for explicitly known spectra. The same is not …

Of the two primary approaches to the classic source separation problem, only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian …