From the reviews of the second edition: "The aim of this book, as stated in the preface is ‘To Teach Numerics along with Diffpack’. … I feel that the author has been successful with the stated aim, and the content is well directed to the target audience … . This book will be very useful ... Read more… for graduate students or researchers, who intend working with DIFFPACK. It provides an excellent advanced tutorial and users manual for DIFFPACK, while also providing a wealth of first hand computational experience presented by an excellent computational scientist." (Stephen Roberts, gazette The Australian Mathematical Society, Vol. 32 (5), 2005) "The present book can be considered to be a sort of handbook for Diffpack, yet it is more than just that. … No one planning to use Diffpack is likely not to benefit from this presentation." (H. Muthsam, Monatshefte für Mathematik, Vol. 143 (4), 2004) "The present version improves and corrects the text, adds new material, and updates the book to match the version 4.0 of the C++ software package Diffpack. … this is a very useful book for the users of Diffpack. However, this book deserves a wider readership than the users of Diffpack, because it provides valuable insights of object oriented numerics and state-of-the-art program development using standard tools for numerical programming, data visualization, and scripting techniques based on Perl." (Matti Vuorinen, Zentralblatt MATH, Vol. 1037 (12), 2004) "This large monograph … is devoted to an updated presentation of the most important numerical techniques for solving partial differential equations using the software Diffpack Programming. … Many figures and tables make explanation much more easier, in addition a collection of examples are discussed with many details. … In addition a complete bibliography and full index is added. In conclusion this book will be certainly very helpful to everybody involving in numericalsimulations and having Diffpack software." (Stéphane Métens, Physicalia, Vol. 26 (1), 2004) "This is the second edition of a popular tutorial on the numerical solution of partial differential equations (PDEs). … has over 150 exercises and a comparable number of worked-out examples together with computational code. There is an extensive bibliography of 156 references for further reading. … it should be of interest and use to researchers and practitioners working in computational mechanics and to students aspiring to enter that field. It should make a good text for graduate-level numeric courses. Purchase by libraries is recommended." (RL Huston, Applied Mechanics Reviews, Vol. 56 (6), 2003) Show Less