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Functional hybrid modelling (FHM) language for modelling and simulation of physical systems using implicitly formulated (undirected) Differential Algebraic Equations (DAEs)
Haskell C


What is Hydra?

Hydra is a high level, declarative language for modelling and simulation of
physical systems. Systems in Hydra are being modelled using implicitly
formulated (undirected) Differential Algebraic Equations (DAEs). While,
physical modelling is our main focus any domain is fine where problems can be
formulated using DAEs.

The language provides constructs for definition and composition of model
fragments that enable modelling and simulation of large, complex, hybrid and
highly structurally dynamic systems.

The first outline of Hydra was given by Nilsson et al. in the framework called
Functional Hybrid Modelling (FHM). Subsequently, a number of papers has been
published about the design and implementation of Hydra that can be accessed on
the following web pages:



The implementation of Hydra

Currently, Hydra is implemented as a domain specific language embedded in
Haskell. Hydra is still in active development.

How to get Hydra

The latest development version of Hydra can be obtained from its darcs
repository by issuing the following command:

> darcs get Hydra

You can also browse the sources in your browser:

How to install Hydra

In order to install Hydra you need to have GHC (
version 6.10 (or later) available on your system. In addition, you need LLVM
( version 2.6.

The implementation of Hydra is packaged using Cabal. So it should be straight
forward to install. Simply issue the following commands in the directory that
you have just obtained using darcs:

> runhaskell Setup.hs configure
> runhaskell Setup.hs build
> runhaskell Setup.hs install

If you have cabal-install tool available on your system there is an even
simpler way. Simply issue the following command in the directory of Hydra:

> cabal install

How to use Hydra

Currently, there is no documentation provided, only examples, I am
afraid. There are also research papers (see above) that I recommend to read if
you are interested. In any case, you are very welcome to contact me.

Cheers, George Giorgidze
Email: ggg (at)
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