| dc.description.abstract | Computer algebra systems are widely used in pure and applied mathematics,
physics, and other natural sciences, engineering, economics, as well as in higher
and secondary education (see, e.g., [1–5]). For example, many important calculations
in theoretical physics could never be done by hand, without wide use of
computer algebra. Polynomial or trigonometric manipulations using paper and pen
are becoming as obsolete as school long division in the era of calculators.
There are several powerful general-purpose computer algebra systems. The system
Mathematica is most popular. It contains a huge amount of mathematical knowledge
in its libraries. The fundamental book on this system [6] has more than 1,200
pages. Fortunately, the same information (more up-to-date than in a printed book) is
available in the help system and hence is always at the fingertips of any user. Many
books about Mathematica and its application in various areas have been published;
see, for example, the series [7–10] of four books (each more than 1,000 pages long)
or [11]. The present book does not try to replace these manuals. Its first part is
a short systematic introduction to computer algebra and Mathematica; it can (and
should) be read sequentially. The second part is a set of unrelated examples from
physics and mathematics which can be studied selectively and in any order. Having
understood the statement of a problem, try to solve it yourself. Have a look at the
book to get a hint only when you get stuck. Explanations in this part are quite short.
This book1 is a result of teaching at the physics department of Novosibirsk State
University. Starting from 2004, the course “Symbolic and numeric computations in
physics applications” is given to students preparing for M.Sc., and an introduction
to Mathematica is the first part of this course (the second part is mainly devoted
to Monte Carlo methods). Practical computer classes form a required (and most
important) part of the course. Most students have no problems with mastering the
basics of Mathematica and applying it to problems in their own areas of interest. | en_US |
