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Modular Algorithms in Symbolic Summation and Symbolic Integration (Paperback, 2005 ed.)
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Modular Algorithms in Symbolic Summation and Symbolic Integration (Paperback, 2005 ed.)
Series: Lecture Notes in Computer Science, 3218
Expected to ship within 10 - 15 working days
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This work brings together two streams in computer algebra: symbolic
integration and summation on the one hand, and fast algorithmics on
the other hand. In many algorithmically oriented areas of computer
science, theanalysisof- gorithms-placedintothe
limelightbyDonKnuth'stalkat the 1970ICM -provides a crystal-clear
criterion for success. The researcher who designs an algorithmthat
is faster (asymptotically, in the worst case) than any previous
method receives instant grati?cation: her result will be recognized
as valuable. Alas, the downside is that such results come along
quite infrequently, despite our best efforts. An alternative
evaluation method is to run a new algorithm on examples; this has
its obvious problems, but is sometimes the best we can do. George
Collins, one of the fathers of computer algebra and a great
experimenter,wrote in 1969: "I think this demonstrates again that a
simple analysis is often more revealing than a ream of empirical
data (although both are important). " Within computer algebra, some
areas have traditionally followed the former methodology, notably
some parts of polynomial algebra and linear algebra. Other areas,
such as polynomial system solving, have not yet been amenable to
this - proach. The usual "input size" parameters of computer
science seem inadequate, and although some natural "geometric"
parameters have been identi?ed (solution dimension, regularity),
not all (potential) major progress can be expressed in this
framework. Symbolic integration and summation have been in a
similar state.
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