id: 05853922
dt: b
an: 2012c.00547
au: Oberguggenberger, Michael; Ostermann, Alexander
ti: Analysis for computer scientists. Foundations, methods, and algorithms.
Transl. from the German by Elisabeth Bradley.
so: Undergraduate Topics in Computer Science. New York, NY: Springer (ISBN
978-0-85729-445-6/pbk; 978-0-85729-446-3/ebook). x, 341~p. (2011).
py: 2011
pu: New York, NY: Springer
la: EN
cc: I15 P15
ut: informatics; MATLAB; Maple
ci: Zbl 1118.26004; Zbl 1162.26002
li: doi:10.1007/978-0-85729-446-3
ab: The book is a translation of the original German version from 2005 (Zbl
1118.26004), with a second edition in 2009 (Zbl 1162.26002). The
authors kept the structure of the German text, however they improve the
presentation at various places. From the authors’ preface to the
English translation: Chapters 1‒8, 10‒12 and 14‒17 are devoted to
the basic concepts of analysis, Chapters 9, 13 and 18‒21 are
dedicated to important applications and more advanced topics.
Appendices A and B collect some tools from vector and matrix algebra,
and Appendix C supplies further details, which were deliberately
omitted in the main text. The employed software, which is an integral
part of the concept, is summarized in Appendix D. Each chapter is
preceded by a brief introduction for orientation. The text is enriched
by computer experiments which should encourage the reader to actively
acquire the subject matter. Finally, every chapter has exercises, half
of which are to be solved with the help of computer programs. The book
can be used from the first semester on as the main textbook for a
course, as a complementary text, or for self-study.
rv: Petr Gurka (Praha)