The numerical methods employed in the solution of many scienti c computing problems
require the computation of derivatives of a functionf: Rn! Rm. Both the accuracy and the …

Numerical codes that calculate not only a result, but also the derivatives of the variables
with respect to each other, facilitate sensitivity analysis, inverse problem solving, and …

An algorithm for constructing a precise call multigraph for languages that permit procedure
parameters, extending the method of B. Ryder (see ibid., vol.5, no.3, p.216-225 (1979)) for …

The computation of large sparse Jacobian matrices is required in many important large-scale
scientific problems. Three approaches to computing such matrices are considered: hand-…

When nonlinear equation solvers are applied to parameter-dependent problems, their iterates
can be interpreted as functions of these variable parameters. The derivatives (if they exist) …

ADIFOR 2.0 currently runs on SPARC's running SunOS 4.1 or SunOS 5. x (Solaris 2. x), IBM
RS/6000's running AIX 3.2. 5 or 4.1. 1, SGI workstations running IRIX Release 6.2, HP …

The fiat system is a compiler-building tool that enables rapid prototyping of interprocedural
analysis and compilation systems. Fiat is a framework because it provides parameterized …

Automatic differentiation (AD) is a technique that augments computer codes with statements
for the computation of derivatives. The computational workhorse of AD-generated codes for …

The numerical methods employed in the solution of many scientific computing problems require
the computation of derivatives of a function~: R “+ Rm. ADIFOR(Automatic Differentiation …

Automated multidisciplinary design of aircraft requires the optimization of complex performance
objectives with respect to a number of design parameters and constraints. The effect of …