Abstract
When one solves differential equations numerically one faces the problem of finding those solutions with as great an accuracy as possible in terms of the mesh-size of the net on which the reduction of the differential equation to a difference equation is carried out. At present many methods exist for finding approximate solutions with a given degree of accuracy when the solution of the differential equation is smooth. The Runge-Kutta method is one of the most widely used since it allows one to create an algorithm for the solution of the problem in a simple and straightforward manner. The theoretical foundations for the construction of the algorithm are well understood as well, making this a most attractive method of numerical mathematics.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1983 Springer-Verlag New York Inc.
About this chapter
Cite this chapter
Marchuk, G.I., Shaidurov, V.V. (1983). First-Order Ordinary Differential Equations. In: Difference Methods and Their Extrapolations. Applications of Mathematics, vol 19. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8224-9_3
Download citation
DOI: https://doi.org/10.1007/978-1-4613-8224-9_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4613-8226-3
Online ISBN: 978-1-4613-8224-9
eBook Packages: Springer Book Archive