id: 06006273
dt: b
an: 06006273
au: Soetaert, Karline; Cash, Jeff; Mazzia, Francesca
ti: Solving differential equations in $R$.
so: Use R!. Berlin: Springer (ISBN 978-3-642-28069-6/pbk;
    978-3-642-28070-2/ebook). xvi, 248~p. EUR~49.95/net; SFR~66.50;
    \sterling~39.99; \$~59.95/hbk (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: ordinary differential equation; partial differential equations;
    object-oriented programming; textbook; differential algebraic
    equations; delay differential equations
ci: 
li: doi:10.1007/978-3-642-28070-2
ab: The book in general deals with the numerical methods implemented to
    different differential problems. One can find here a descriptions of
    differential equations of different types (ordinary and partial
    differential equations, differential algebraic equations, delay
    differential equations), as well as the descriptions of fairly
    well-known and widely used numerical methods for their solution. The
    main thing that differentiates this book from others is the fact that
    the authors propose to use for this purpose some non-specific
    programming environment such as $R$. As it is known $R$ is an open
    source programming language and software environment for statistical
    computing and graphics. The $R$ language is widely used among
    statisticians for developing statistical software and data analysis.
    From the other side, $R$ is highly extensible through the use of
    user-submitted packages for specific functions or specific areas of
    study. $R$ has stronger object-oriented programming facilities than
    most statistical computing languages. So many users think of $R$ as a
    statistics system. However, the authors manage to convince the reader
    about the ability to use this software to solve differential problems.
    Moreover, to some extent, they show its potential benefits.
rv: Ivan Secrieru (Chişinău)