Division of Floating Point Expansions with an Application to the Computation of a Determinant
Дата
Авторы
Daumas,Marc
Finot,Claire
Journal Title
Journal ISSN
Volume Title
Издатель
Journal of Universal Computer Science
Аннотация
Описание
Floating point expansion is a technique for implementing multiple precision using a processor's floating point unit instead of its integer unit. Research on this subject has arised recently from the observation that the floating point unit becomes a more and more efficient part of modern computers. Many simple arithmetic operators and some very useful geometric operators have already been presented on expansions. Yet previous work included only a very simple division algorithm. We present in this work a new algorithm that allows us to extend the set of geometric operators with Bareiss' determinant on a matrix of size between 3 and 10. Running times with different determinant algorithms on different machines are compared with GMP, a very common multi-precision package.
Ключевые слова
exact arithmetic , multiple precision , expansion , division , computational geometry , floating point , library