Publication: Java Automatic Differentiation Tool Using Virtual Operator Overloading
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Java Automatic Differentiation Tool Using Virtual Operator Overloading

- incollection -
 

Author(s)
Phuong Pham-Quang , Benoit Delinchant

Published in
Recent Advances in Algorithmic Differentiation

Editor(s)
Shaun Forth, Paul Hovland, Eric Phipps, Jean Utke, Andrea Walther

Year
2012

Publisher
Springer

Abstract
ad tools are available and mature for several languages such as C or Fortran, but are just emerging in object oriented language such as Java. In this paper, a Java automatic differentiation tool called JAP is presented which has been defined and developed with specific requirements for the design of engineering systems using optimization. This paper presents JAP requirements and the implementation architecture. It also compares JAP performance to ADOL-C in forward mode on a magnetic MEMS model. JAP has been successfully used on several system optimizations in the field of electromagnetic MEMS.

Cross-References
Forth2012RAi

BibTeX
@INCOLLECTION{
         Pham-Quang2012JAD,
       title = "Java Automatic Differentiation Tool Using Virtual Operator Overloading",
       doi = "10.1007/978-3-642-30023-3_22",
       author = "Phuong Pham-Quang and Benoit Delinchant",
       abstract = "AD tools are available and mature for several languages such as C or Fortran, but
         are just emerging in object oriented language such as Java. In this paper, a Java automatic
         differentiation tool called JAP is presented which has been defined and developed with specific
         requirements for the design of engineering systems using optimization. This paper presents JAP
         requirements and the implementation architecture. It also compares JAP performance to ADOL-C in
         forward mode on a magnetic MEMS model. JAP has been successfully used on several system
         optimizations in the field of electromagnetic MEMS.",
       pages = "241--250",
       crossref = "Forth2012RAi",
       booktitle = "Recent Advances in Algorithmic Differentiation",
       series = "Lecture Notes in Computational Science and Engineering",
       publisher = "Springer",
       address = "Berlin",
       volume = "87",
       editor = "Shaun Forth and Paul Hovland and Eric Phipps and Jean Utke and Andrea Walther",
       isbn = "978-3-540-68935-5",
       issn = "1439-7358",
       year = "2012"
}


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