errors
errors,
an Octave code which
demonstrates how reasonable computations
can produce numerical nonsense. This illustrates that the programmer
must not assume that a numerical algorithm that seems reasonable will
always produce correct and reliable results.
The computations
include polynomial evaluation and root finding, linear system solution,
minimization, and Taylor series approximation.
Licensing:
The information on this web page is distributed under the MIT license.
Languages:
errors is available in
a Fortran90 version and
a MATLAB version and
an Octave version.
Related Data and Programs:
errors_test
Reference:
-
U Kulisch, C Ullrich, Editors,
Wissenschaftliches Rechnen und Programmiersprachen,
(Scientific Computing and Programming Languages),
Berichte des German Chapter of the ACM,
(Reports of the German Chapter of the ACM),
Volume 10, Teubner Verlag, 1982.
-
Cleve Moler, Charles Van Loan,
19 Dubious Ways to Compute the Exponential of a Matrix,
25 Years Later,
SIAM Review,
Volume 45, Number 1, pages 3-49, March 2003.
-
Yves Nievergelt,
Numerical Linear Algebra on the HP-28, or How to Lie with
Supercalculators,
The American Mathematical Monthly,
Volume 98, Number 6, June-July 1991, pages 539-544.
-
Siegfried Rump,
Wie Zuverlaessig Sind die Ergebnisse Unserer Rechenanlagen?
(How Reliable are the Results of our Computations?)
Jahrbuch Ueberblicke Mathematik 1983, pages 163-168.
Source Code:
Last revised on 13 June 2023.