Günter Leugering (ed.); Peter Benner (ed.); Sebastian Engell (ed.); Andreas Griewank (ed.); Helmut Harbrecht (ed.); Hinze Birkhäuser (2015) Saatavuus: Tilaustuote Kovakantinen kirja
Günter Leugering (ed.); Peter Benner (ed.); Sebastian Engell (ed.); Andreas Griewank (ed.); Helmut Harbrecht (ed.); Hinze Birkhäuser (2016) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Springer Sivumäärä: 432 sivua Asu: Kovakantinen kirja Painos: 2002 Julkaisuvuosi: 2002, 08.01.2002 (lisätietoa) Kieli: Englanti
Automatic Differentiation (AD) is a maturing computational technology and has become a mainstream tool used by practicing scientists and computer engineers. The rapid advance of hardware computing power and AD tools has enabled practitioners to quickly generate derivative-enhanced versions of their code for a broad range of applications in applied research and development. Automatic Differentiation of Algorithms provides a comprehensive and authoritative survey of all recent developments, new techniques, and tools for AD use. The book covers all aspects of the subject: mathematics, scientific programming (i.e., use of adjoints in optimization) and implementation (i.e., memory management problems). A strong theme of the book is the relationships between AD tools and other software tools, such as compilers and parallelizers. A rich variety of significant applications are presented as well, including optimum-shape design problems, for which AD offers more efficient tools and techniques.
