Currently I'm working on my Ph.D. thesis at the Department of Information and Computing Sciences at the University of Utrecht. My work is about functional programming and part of the NWO project Realising Optimal Sharing, which is a collaboration between the Center for Software Technology and the Department of Philosophy. The project is lead by Doaitse Swierstra and Vincent van Oostrom. Most of my research is due to joint efforts with Clemens Grabmayer. Here are some of my contributions.

`letrec`

Applying bisimulation on term graph interpretations of λ-letrec yields two results: a generalisation of common subexpression elimination; and an efficient method to determine whether two λ-letrec-terms have the same unfolding.

[doi] Clemens Grabmayer, Jan Rochel, 2014. Maximal Sharing in the Lambda Calculus with `letrec`

. In *Proceedings of the 19th ACM SIGPLAN international conference on Functional programming, Gothenburg, Sweden, September 1-3, 2014*. For the accompanying implementation, see below.

We study various representations for cyclic λ-terms as higher-order or as first-order term graphs. It is intended as a stepping stone for a follow-up paper about maximal sharing in λ-letrec.

[doi] Clemens Grabmayer, Jan Rochel, 2013. Term Graph Representation for Cyclic Lambda-Terms, *Proceedings of the 7th International Workshop on Computing with Terms and Graphs, TERMGRAPH 2013, Rome, Italy, 23rd March 2013*

`letrec`

An unpublished paper which has as its main result a characterisation of the class of infinite λ-terms that are expressible finitely using the `letrec`

-construct. It generalises results of a published paper (see below), in which the calculus has μ instead of `letrec`

.

Clemens Grabmayer, Jan Rochel, 2012. Expressibility in the Lambda Calculus with `letrec`

.

[doi] Clemens Grabmayer, Jan Rochel, 2013. Expressibility in the Lambda Calculus with μ. *Proceedings of RTA 2013*.

`letrec`

An optimisation that reduces the amount of β-reductions required to evaluate a term by lifting a certain kind of ‘constant’ parameters out of recursive positions. It is a generalisation of what is called the *static argument transformation* in GHC terminology.

[doi] Clemens Grabmayer, Jan Rochel. 2011. Repetitive Reduction Patterns in Lambda Calculus with letrec. *Proceedings of TERMGRAPH 2011*.

My first publication describes a *very lazy* evaluation strategy (lazier than lazy evaluation, hence the name) on a generalised λ-calculus. In this early paper of mine I embarrassingly reinvented the wheel multiple times (different wheel each time), namely *generalised β-reduction* and *head occurrence reduction*.

[doi] Jan Rochel. 2009. The very lazy λ-calculus and the STEC machine. In *Proceedings of the 21st international conference on Implementation and application of functional languages (IFL'09)*, Springer-Verlag, Berlin, Heidelberg.

Investigating different evaluators for the λ-calculus involves a lot of graph rewriting. It turned out that there is a lack of tools for specifying such systems and experimenting with them. Consequently I have implemented a suite of Haskell libraries and applications for interactive port graph rewriting, available on HackageDB.

The suite comes with a technical report as documention, which is unfortunately hardly complete. But together with the API documentation and the example implementations it should be possible to get by. The source code of the SKI combinator implementation is documented in tutorial style.

- graph-rewriting: base package defining an EDSL for specifying monadic graph rewriting rules and on top of that
- graph-rewriting-layout: force-directed port-graph layouting
- graph-rewriting-gl: OpenGL interface by which one can build interactive applications to interactively perform graph reductions, such as the following three:
- graph-rewriting-ski: implementation of the SKI combinators, which also serves as a tutorial to the suite.
- graph-rewriting-trs: Evaluate a first-order term rewrite system interactively using graph reduction. You don't need to know Haskell to use this tool. Just define your rewrite rules in a separate file and give an initial term. This package could in principle replace graph-rewriting-ski, but is far more generic and involved and therefore not suited for a tutorial.
- graph-rewriting-lambdascope (screenshot): An implementation of an optimal evaluator for the λ-calculus, Lambdascope
- maxsharing: implementation of
*maximal sharing*from the corresponding paper above.

Jan Rochel <jan@rochel.info>