5. Bibliography

[BFB16]

Richard L. Burden, J. Douglas Faires, and Annette M. Burden. Numerical Analysis. Cengage, 10th edition, 2016.

[Cha12]

Jeffrey R. Chasnov. Numerical Methods. Hong Kong University of Science and Technology, 2012. URL: https://lemesurierb.people.charleston.edu/Numerical-Methods-Chasnov.pdf.

[CK13]

Ward Chenney and David Kincaid. Numerical Mathematics and Computing. Cengage, 7th edition, 2013.

[DBjorck08]

Germund Dahlquist and Åke Björck. Numerical Methods in Scientific Computing, Volume I. Society for Industrial and Applied Mathematics, 2008. URL: https://epubs.siam.org/doi/abs/10.1137/1.9780898717785, arXiv:https://epubs.siam.org/doi/pdf/10.1137/1.9780898717785, doi:10.1137/1.9780898717785.

[DBjorck09]

Germund Dahlquist and Åke Björck. Numerical Methods in Scientific Computing, Volume 2. Society for Industrial and Applied Mathematics, 2009.

[Dio23]

Benoit Dionne. Numerical Analysis. University of Ottawa, 2023. URL: https://ruor.uottawa.ca/server/api/core/bitstreams/337a83da-97ca-4f46-a0b7-8a3a692d8cee/content.

[Gea71]

C. Williiam Gear. Numerical Initial Value Problems in Ordinary DIfferential Equations. Prentice-Hall, 1971.

[Joh94]

Clas Johnson. Numerical solution of partial differenrtial equations by the finite element method. Cambridge University Press, 1994.

[KC90]

David Kincaid and Ward Chenney. Numerical Analysis. Brooks/Cole, 1990.

[LeV07]

Randall LeVeque. Finite Difference Methods for Ordinary and Partial Differential Equations. SIAM, 2007.

[Sau22]

Timothy Sauer. Numerical Analysis. Pearson, 3rd edition, 2022.

[Sci25]

SciPy. Scientific Python Lectures. Online, open source, 2025. URL: https://scipy-lectures.org/.

[SH25]

GIlbert Strang and Edwin Herman. OpenStax Calculus, Volume 2. OpenStax, 2016-2025. URL: https://openstax.org/details/books/calculus-volume-2.

[Sul21]

Eric Sullivan. Numerical Methods (An Inquiry-Based Approach With Python). OER, 2021. URL: https://numericalmethodssullivan.github.io/.

[TB22]

Lloyd Nicholas Trefethen and David Bau. Numerical Linear Algebra. SIAM, 2022.

[VVvanGijzenV15]

C. Vuik, F.J. Vermolen, M.B. van Gijzen, and M.J. Vuik. Numerical Methods for Ordinary Differential Equations. TU Delft OPEN, 2015.