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\title{Capsule Review of
  ``Comparing Id and Haskell in a Monte Carlo Photon Transport Code''}

\author{Jeffrey Hammes, Olaf Lubeck, Wim Boehm}

\date{}

\maketitle

     The Monte Carlo technique has a long history.  Its importance has
grown in tandem with the availability of cheap computing power.  The
authors outline the functionality of a large Monte Carlo simulation
program, and demonstrate that a simplified kernel version can be
cleanly coded in a functional style.

     There are caveats.  It is characteristic of the Monte Carlo method
that code validation and debugging depend on high-statistics results.
The frank description of the problems involved in obtaining such
results from the functional codes makes disturbing reading.

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