Research

• My dissertation, in postscript and PDF (for viewing with xpdf or acrobat reader).
• A sinc overview and illustration of a real problem, as collection of html slides.
• A detailed sinc presentation and a simple problem, also as collection of html slides.
• A preprint of my paper "A little language for modularizing numerical PDE solvers", submitted to Software--Practice and Experience, as compressed postscript, and PDF
• A short presentation of the main ideas of the paper: A little language ..., also as collection of html slides.

Programming

• The Ocaml programming language. The combination of functional programming, static typing, interactive toplevel, and near-C speeds makes this my language of choice for complex algorithms.
• The Python programming language. An easy-to-use, dynamically typed, imperative/OO programming language with bindings to many libraries; very convenient for writing that occasional 3000-line, throw-away prototype -- like this GUI.
• Some UNIX tools: lex, yacc, make, m4, and CVS
• The TeX typesetting system, to produce legible equations.
• The C programming language. A small language that never gets in the way.
  Also the one language to which every other practical language must (or at least should) interface to.
  But it's very low-level, and this gets tedious. Using the Boehm-Demers-Weiser garbage collector together with a simple exception-handling framework, e.g. that in the book "C Interfaces and Implementations", makes it much nicer.
  Of course, at this point one might as well use Ocaml...

• The Maple computer algebra system is very convenient for generating and testing the expressions which go into the real programs. Its three-dimensional scientific graphics facilities are also nice, although the generated PostScript leaves much to be desired.
• The Matlab numerical computation environment. Once complicated data structures are reduced to dense (or sparse) matrices, experimentation is trivial in Matlab. Along with its visualization facilities, this is a very nice environment for getting to understand one's data.

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