: 
Automatic Differentiation of Algorithms: From Simulation to Optimization by George Corliss
English | PDF | 2002 | 431 Pages | ISBN : 0387953051 | 38.7 MB
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.
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
https://hot4share.com/4obsnvsys2g3/sogq4.A.D.o.A.F.S.t.O.rar.html
https://rapidgator.net/file/2b6fb73bc6d347d106fdc85000be7f24/sogq4.A.D.o.A.F.S.t.O.rar.html
https://uploadgig.com/file/download/2B0e714c2820A6e0/sogq4.A.D.o.A.F.S.t.O.rar
https://nitro.download/view/71CD9485B1BA721/sogq4.A.D.o.A.F.S.t.O.rar