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ICFP
2003
ACM

Functional automatic differentiation with dirac impulses

10 years 9 months ago
Functional automatic differentiation with dirac impulses
Functional Reactive Programming (FRP) is a framework for reactive programming in a functional setting. FRP has been applied to a number of domains, such as graphical animation, graphical user interfaces, robotics, and computer vision. Recently, we have been interested in applying FRPlike principles to hybrid modeling and simulation of physical systems. As a step in that direction, we have extended an existing FRP implementation, Yampa, in two new ways that make it possible to express certain models in a very natural way, and reduces the amount of work needed to put modeling equations into a suitable form for simulation. First, we have added Dirac impulses that allow certain types of discontinuities to be handled in an easy yet rigorous manner. Second, we have adapted automatic differentiation to the setting of Yampa, and generalized it to work correctly with Dirac impulses. This allows derivatives of piecewise continuous signals to be well-defined at all points. This paper reviews the...
Henrik Nilsson
Added 13 Dec 2009
Updated 13 Dec 2009
Type Conference
Year 2003
Where ICFP
Authors Henrik Nilsson
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