CALL FOR PAPERS

for third international workshop on

AUTOMATIC DIFFERENTIATION: TOOLS AND APPLICATIONS

at ICCS 2006, University of Reading, UK, May 28-31, 2006.

Derivatives, also known as sensitivities, are ubiquitous in various areas of computational science and their accurate and efficient evaluation is often indispensable for a wide variety of numerical algorithms. Automatic Differentiation (AD) is a technology for automatically augmenting computer programs, including arbitrarily complex simulations, with statements for the computation of derivatives. In contrast to traditional numerical differentiation based on divided differences, AD provides guaranteed accuracy and computational efficiency.

The primary goal of this session is to provide a venue for computational scientists to report on recent advances in tool design as well as innovative uses of AD tools and AD-related methodologies.

Authors are invited to submit original and unpublished papers in all areas of AD with an emphasis on tool development and successful applications. Refer to the workshop's website for further instructions.

Programme Committee

• B. Christianson (U. of Hertfordshire, UK)
• M. Fagan (Rice U., USA)
• C. Faure (Polyspace, France)
• R. Giering (FastOpt, Germany)
• A. Griewank (Humboldt U., Germany)
• L. Hascoet (INRIA, France)
• P. Heimbach (MIT, USA)
• P. Hovland (Argonne National Lab., USA)
• K. Kubota (Chuo U., Japan)
• A. Walter (Technical U. Dresden, Germany)

Organizers

• C. Bischof (RWTH Aachen U., Germany)
• S. Forth (Cranfield U., UK)
• U. Naumann (RWTH Aachen U.)
• J. Utke (Argonne National Lab.)

Dates

1. Full papers submission: 12. Dec '05
2. Notification of acceptance: 31 Jan '06
3. Camera ready papers: 10 Feb '06
4. Early registration: 30 Mar '06