Numerical Methods for Differential Equations and Applications

Butcher, J.C.

dc.contributor.author	Butcher, J.C.	en
dc.date.accessioned	2009-08-28T03:21:54Z	en
dc.date.available	2009-08-28T03:21:54Z	en
dc.date.issued	1997-03	en
dc.identifier.citation	Department of Mathematics - Research Reports-370 (1997)	en
dc.identifier.issn	1173-0889	en
dc.identifier.uri	http://hdl.handle.net/2292/5064	en
dc.description.abstract	This paper surveys a number of aspects of numerical methods for ordinary differential equations. The discussion includes the method of Euler and introduces Runge-Kutta methods and linear multistep methods as generalizations of Euler. Stability considerations arising from stiffness lead to a discussion of implicit methods and implementation issues. To the extent possible within this short survey, numerical methods are looked at in the context of problems arising in practical applications.	en
dc.publisher	Department of Mathematics, The University of Auckland, New Zealand	en
dc.relation.ispartofseries	Research Reports - Department of Mathematics	en
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.source.uri	http://www.math.auckland.ac.nz/Research/Reports/view.php?id=370	en
dc.title	Numerical Methods for Differential Equations and Applications	en
dc.type	Technical Report	en
dc.subject.marsden	Fields of Research::230000 Mathematical Sciences::230100 Mathematics	en
dc.rights.holder	The author(s)	en