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HVE The Math behind arbitrary precision - hvks.com

The math behind arbitrary precision 28 August 2013 Page 1 The math behind arbitrary precision for integer and floating point arithmetic. By Henrik Vestermark Abstract: We are all used to the fast microprocessors available nowadays and computational speed of basic arithmetic, trigonometric or logarithms functions is done at lighting fast speed. However when building an arbitrary integer and floating point packages that can handle decimal in the range from a few to several millions digits it is s all back to the basic of math in order to build an arbitrary precision packages with reasonable speed. This paper describes the underlying math behind this package. Introduction: Building an arbitrary software package that can handle all arithmetic for integers and floating point for any precision , it is down to the basic of simple math .

The Math behind arbitrary precision 28 August 2013 Page 6 in an=0 then an contains the remaining portion of the division and lets called is dj.For shorthand this is sometimes written as: k j m n c REM d b a = If bm is a single digit we do it by school book manner by dividing the single digit b1 Into an starting at the most significant digit of a[n]. ]. The result is the most significant d

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