Path: csiph.com!usenet.pasdenom.info!aioe.org!news.stack.nl!.POSTED!not-for-mail From: Willem Newsgroups: comp.programming Subject: Re: algorithm analysis Big-O Date: Sat, 14 Sep 2013 19:21:50 +0000 (UTC) Organization: Stack Usenet News Service Lines: 19 Message-ID: References: <25bf7834-1bb1-4702-9e18-0bd691958ec8@googlegroups.com> <864f4a00-4b92-4b20-a849-e4f6ce90c06b@googlegroups.com> NNTP-Posting-Host: turtle.stack.nl Mime-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit X-Trace: mud.stack.nl 1379186510 5166 2001:610:1108:5010::132 (14 Sep 2013 19:21:50 GMT) X-Complaints-To: abuse@stack.nl NNTP-Posting-Date: Sat, 14 Sep 2013 19:21:50 +0000 (UTC) User-Agent: slrn/0.9.9p1 (OpenBSD) Xref: csiph.com comp.programming:3731 malcolm.mclean5@btinternet.com wrote: ) The other factor is that generally higher big(O) algorithms are more ) straightforwards, intuitive, easy to understand, easy to write and to ) check manually for correctness. That very often outweighs a saving in ) machine time. I disagree. For constant savings in machine time, I would agree with you, but the consideration 'the dataset will never be very large' has turned out to be false so often (with disastrous results) that I would never rely on it. SaSW, Willem -- Disclaimer: I am in no way responsible for any of the statements made in the above text. For all I know I might be drugged or something.. No I'm not paranoid. You all think I'm paranoid, don't you ! #EOT