From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on polar.synack.me X-Spam-Level: X-Spam-Status: No, score=-0.3 required=5.0 tests=BAYES_00, REPLYTO_WITHOUT_TO_CC autolearn=no autolearn_force=no version=3.4.4 X-Google-Thread: 103376,ebee1475011df21 X-Google-Attributes: gid103376,public X-Google-Language: ENGLISH,ASCII-7-bit Path: g2news1.google.com!news4.google.com!border1.nntp.dca.giganews.com!border2.nntp.dca.giganews.com!nntp.giganews.com!newsfeed00.sul.t-online.de!newsfeed01.sul.t-online.de!t-online.de!newsfeed.arcor.de!news.arcor.de!not-for-mail From: "Dmitry A. Kazakov" Subject: Re: interpolation polynomial Newsgroups: comp.lang.ada User-Agent: 40tude_Dialog/2.0.14.1 MIME-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 7bit Reply-To: mailbox@dmitry-kazakov.de Organization: cbb software GmbH References: <1126988546.797033.304660@z14g2000cwz.googlegroups.com> Date: Sun, 18 Sep 2005 11:10:50 +0200 Message-ID: <14rdr7zqxqx89.d0wrr7j66geh$.dlg@40tude.net> NNTP-Posting-Date: 18 Sep 2005 11:10:49 MEST NNTP-Posting-Host: b8f95a2a.newsread4.arcor-online.net X-Trace: DXC=?;af7>gc@HOeoBec=`Q1lF:ejgIfPPldDjW\KbG]kaMHFYk:AnJB[CMDQUX2H;?^^G[6LHn;2LCVNI^><>f3dFYJ`mBn10`@2oE X-Complaints-To: abuse@arcor.de Xref: g2news1.google.com comp.lang.ada:4855 Date: 2005-09-18T11:10:49+02:00 List-Id: On 17 Sep 2005 13:22:26 -0700, adaman wrote: > Where can i found an ada implementation of interpolation polynomial > algorithms (lagrange, newton, spline ...)? That depends on which method you need. Note that all methods have their application areas, advantages and disadvantages. > A class "polynomial" is may be the must. Well, who is interested in numerical methods these days? (:-)) > Moreover i search a comparison between this differents > algorithms in order to know which is the fastest. As always, it depends. Though usually Chebyshev's polynomials should be first to check. I'd recommend any good book on numerical methods. Especially for approximations, the fundamental work I still enjoy is: "Mathematical functions and their approximations" by Yudell L. Luke. -- Regards, Dmitry A. Kazakov http://www.dmitry-kazakov.de