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Haskell High Performance Programming
book

Haskell High Performance Programming

by Samuli Thomasson
September 2016
Intermediate to advanced
408 pages
9h 18m
English
Packt Publishing
Content preview from Haskell High Performance Programming

Functional graphs

The best representation for a graph depends a little on the use case. The Graph type in containers uses an adjacency list and a few basic graph operations are provided.

One unique Haskell library, fgl, for Functional Graph Library, takes a different approach to programming with graphs, by considering graph as an inductive data-type.

One of the core ideas in fgl is contexts and decomposition. A context of a graph node is a triplet of the node's predecessors, successors, and the node itself. All graph manipulations can be expressed as inductive recursions over the contexts of a graph. Furthermore, it's surprisingly efficient.

For reference, here's a very, very small section of the fgl API:

-- module Data.Graph.Inductive.Graph type ...
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Publisher Resources

ISBN: 9781786464217