EconPapers    
Economics at your fingertips  
 

Ordinary Differential Equations

Clemens Heitzinger ()
Additional contact information
Clemens Heitzinger: Technische Universität Wien, Center for Artificial Intelligence and Machine Learning (CAIML) and Department of Mathematics and Geoinformation

Chapter Chapter 9 in Algorithms with JULIA, 2022, pp 229-256 from Springer

Abstract: Abstract Differential equations are among the most successful models in physics, chemistry, biology, engineering, and many other fields. This chapter is concerned with solving systems of ordinary differential equations. Ordinary differential equations are equations that contain derivatives with respect to only one independent variable. The main result that a system of ordinary differential equations has a unique solution under certain reasonable assumptions is presented. In order to solve the equations numerically, runge–kutta formulas are discussed in detail, since they yield excellent results for a wide range of equation types. Finally, the formulas are implemented in an idiomatic manner in julia.

Date: 2022
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:978-3-031-16560-3_9

Ordering information: This item can be ordered from
http://www.springer.com/9783031165603

DOI: 10.1007/978-3-031-16560-3_9

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 2026-05-22
Handle: RePEc:spr:sprchp:978-3-031-16560-3_9