id: 06086556
dt: a
an: 06086556
au: Pham-Quang, Phuong; Delinchant, Benoit
ti: Java automatic differentiation tool using virtual operator overloading.
so: Forth, Shaun (ed.) et al., Recent advances in algorithmic differentiation.
    Selected papers based on the presentations at the 6th international
    conference on automatic differentiation (AD2012), Fort Collins, CO,
    USA, July 23‒27, 2012. Berlin: Springer (ISBN 978-3-642-30022-6/hbk;
    978-3-642-30023-3/ebook). Lecture Notes in Computational Science and
    Engineering 87, 241-250 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: Java automatic differentiation; source transformation; operator
    overloading; forward mode; optimization; algorithm; numerical examples;
    
ci: 
li: doi:10.1007/978-3-642-30023-3_22
ab: Summary: Automatic differentiation (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.
rv: