From 355aad7912d525fc9eb7657e03ea0d5d48f8ab7c Mon Sep 17 00:00:00 2001 From: lkcl Date: Thu, 21 Apr 2022 18:59:50 +0100 Subject: [PATCH] --- openpower/sv/biginteger/analysis.mdwn | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/openpower/sv/biginteger/analysis.mdwn b/openpower/sv/biginteger/analysis.mdwn index f44212fff..a9a913691 100644 --- a/openpower/sv/biginteger/analysis.mdwn +++ b/openpower/sv/biginteger/analysis.mdwn @@ -246,8 +246,9 @@ The simplest implementation of big-int divide is the standard schoolbook Algorithm D performs estimates which, if wrong, are compensated for afterwards. Essentially there are three phases: -* Calculation of the quotient estimate. This is Scalar division - and can be ignored for the scope of this analysis +* Calculation of the quotient estimate. This uses a single + Scalar divide, + which can be ignored for the scope of this analysis * Big Integer multiply and subtract. * Carry-Correction with a big integer add, if the estimate from phase 1 was wrong by one digit. -- 2.30.2