Shaharyah Publishers, 2013. — 406 p. The goal of this edition remains the same as the previous ones - to give a comprehensive and state-of-the-art treatment of all important aspects of the subject. The book comes with a straight forward and easy to understand computer programs written in C++.
Springer, 2016. — 604 p. — ISBN: 9783319554556, 3319554557. This easy-to-read book introduces the basics of solving partial differential equations by finite difference methods. The emphasis is on constructing finite difference schemes, formulating algorithms, implementing algorithms, verifying implementations, analyzing the physical behavior of the numerical solutions, and applying...
American Mathematical Society, 2006. — 525 p. This book is a text for a first-year graduate course in complex analysis. All material usually treated in such a course is covered here, but our book is based on principles that differ somewhat from those underlying most introductory graduate texts on the subject. This third edition follows the overall plan and even the specific...
Unpublished, 2013. — 388 p. This book is assembled from lectures given by the author over a period of 10 years at the School of Computing of DePaul University. The lectures cover multiple classes, including Analysis and Design of Algorithms, Scientific Computing, Monte Carlo Simulations, and Parallel Algorithms. These lectures teach the core knowledge required by any scientist...
Cambridge University Press, 2009. — 249 p. This book contains the material used in our advanced course on Scientific Computation at the ETH (Eidgenossische Technische Hochschule), Zurich, Switzerland. This course is a third year course in the Department of Computer Science (Informatik). The material is presented in a non-traditional way by solving several, reasonably realistic...