ADF

Summary:
The vivlabs ADF Automatic Differentiation Software for FORTRAN delivers rapid integration of automatic differentiation capability to your new and existing applications on all operating system platforms. ADF automatically exploits the sparsity within your equation matrices, which leads to winning performance for both small, large and extremely large applications.

URL: http://www.vivlabs.com

Developers:

• Dr. Christian Straka, vivlabs LLC

Mode:	Forward
Method:	Operator overloading
Supported Language:	Fortran77 Fortran95

Reference:


Features:
• Version 4.0 now available, featuring the ability to generate first- and second-order derivatives at unparalleled speeds.

• Recognition of the latest FORTRAN 95 language features (e.g., forall, elemental, pure, where), including all intrinsic functions.

• Extremely efficient built-in sparsity optimizations.

• Detection and error control of non-differentiable situations to analyze and avoid critical convergence problems early in the design phase.

• Utility subroutines and functions for easy generation of Jacobian and Hessian matrices and for controlling the automatic differentiation process.

Supported Platforms:

• Windows
• Unix/Linux
• Mac
• Application Server

Licensing: license

Entries in our publication database that actually use ADF in the numerical experiments:  1

The following diagram shows these entries versus the year of the publication.

10+ #Entries 0	1
	'05
	Year

Related Research Groups:

• vivlabs LLC, USA