Abstract
In this chapter we derive numerical methods to solve the first-order differential equation
where
This is known as an initial value problem (IVP), and it consists of the differential equation (7.1) along with the initial condition in (7.2). Numerical methods for solving this problem are first derived for the case of when there is one differential equation. Afterwards, the methods are extended to problems involving multiple equations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ascher, U.M., Petzold, L.R.: Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations. SIAM, Philadelphia, PA (1998). ISBN 0898714125
Butcher, J.C.: The Numerical Analysis of Ordinary Differential Equations, 2nd edn. Wiley, Chichester (2008)
Griffiths, D., Higham, D.J.: Numerical Methods for Ordinary Differential Equations. Springer, London (2010)
Hairer, E., Wanner, G.: Solving Ordinary Differential Equations II, 2nd edn. Springer, Berlin (2002)
Hairer, E., Lubich, C., Wanner, G.: Geometric numerical integration illustrated by the Stormer–Verlet method. Acta Numer. 12, 399–450 (2003). ISSN 1474-0508. doi:10.1017/S0962492902000144
Holmes, M.H.: Introduction to Numerical Methods in Differential Equations. Springer, New York (2007)
Holmes, M.H.: Introduction to the Foundations of Applied Mathematics. Springer, New York (2009)
Knoll, D.A., Keyes, D.E.: Jacobian-free Newton-Krylov methods: a survey of approaches and applications. J. Comput. Phys. 193 (2), 357–397 (2004). ISSN 0021-9991. doi:10.1016/j.jcp.2003.08.010
Lai, K.-L., Crassidis, J.L.: Extensions of the first and second complex-step derivative approximations. J. Comput. Appl. Math. 219 (1), 276–293 (2008). ISSN 0377-0427. doi:http://dx.doi.org/10.1016/j.cam.2007.07.026
Lambert, J.D.: Numerical Methods for Ordinary Differential Systems: The Initial Value Problem. Wiley, Chichester (1991)
Loffeld, J., Tokman, M.: Comparative performance of exponential, implicit, and explicit integrators for stiff systems of ODEs. J. Comput. Appl. Math. 241, 45–67 (2013). ISSN 0377-0427. doi:http://dx.doi.org/10.1016/j.cam.2012.09.038
Martins, J.R.R.A., Sturdza, P., Alonso, J.J.: The complex-step derivative approximation. ACM Trans. Math. Softw. 29 (3), 245–262 (2003)
Ralston, A.: Runge-Kutta methods with minimum error bounds. Math. Comput. 16,431–437 (1962)
Stuart, A., Humphries, A.R.: Dynamical Systems and Numerical Analysis. Cambridge University Press, Cambridge (1998)
Süli, E., Mayers, D.F.: An Introduction to Numerical Analysis. Cambridge University Press, Cambridge (2003)
Zenil, H.: A Computable Universe: Understanding and Exploring Nature as Computation. World Scientific, Singapore (2012)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Holmes, M.H. (2016). Initial Value Problems. In: Introduction to Scientific Computing and Data Analysis. Texts in Computational Science and Engineering, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-30256-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-30256-0_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30254-6
Online ISBN: 978-3-319-30256-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)