EconPapers    
Economics at your fingertips  
 

Numerical Methods for Initial Value Problems

Martin Hermann and Masoud Saravi
Additional contact information
Martin Hermann: Friedrich Schiller University, Institute of Applied Mathematics
Masoud Saravi: Islamic Azad University Nour Branch, Department of Mathematics

Chapter Chapter 7 in A First Course in Ordinary Differential Equations, 2014, pp 189-240 from Springer

Abstract: Abstract With this chapter, the numerical part of the book begins. Here, numerical methods for initial value problems of systems of first-order differential equations are studied. Starting with the concept of discretizing differential equations, the class of Runge-Kutta methods is introduced. The Butcher schemes of a variety of Runge-Kutta methods are given. Further topics are consistency, convergence, estimation of the local discretization error, step-size control, A-stability, and stiffness.

Keywords: Local Discretization Error; Classical Runge-Kutta Method; Lobatto IIIA Method; Absolute Stability; Midpoint Rule (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-1835-7_7

Ordering information: This item can be ordered from
http://www.springer.com/9788132218357

DOI: 10.1007/978-81-322-1835-7_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-81-322-1835-7_7