Outline:
- Referensi/Materi
- Referensi Video
- Code/Module
- Forum Diskusi
Referensi/Materi
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/9781118673515.app8
- http://www.math.pitt.edu/~trenchea/math1070/MATH1070_5_Rootfinding.pdf
- Materi Bahasa Indonesia
Referensi Video
- https://www.youtube.com/watch?v=pStQf71WwB4 [Bisection]
- https://www.youtube.com/watch?v=6vh8QP1GliY [Regula Falsi]
- https://www.youtube.com/watch?v=szQUIRPrAgQ [Newton-Rhapson]
- https://www.youtube.com/watch?v=hZ4l5wXRV4g [Newton-Rhapson]
- https://www.youtube.com/watch?v=-JY0oavOhfw [Secant 01]
- https://www.youtube.com/watch?v=DbZ45Ej8YMw [Secant 02]
Open Code in Google Colaboratory
Jangan lupa kolom komentar bukan untuk berdiskusi/bertanya, untuk keperluan tersebut silahkan klik tautan untuk menuju Forum terkait modul ini.
What’s Next?
Referensi:
- Johansson, R. (2018). Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib. Apress.
- John H. Mathews, Numerical Methods for Mathematics, Prentice Hall, 1992 [Refernsi Utama]
- Heath, M. T. (2018). Scientific computing: an introductory survey (Vol. 80). SIAM.
- Conte, S. D., u0026amp; De Boor, C. (2017). Elementary numerical analysis: an algorithmic approach (Vol. 78). SIAM.
Pingback: MFDS-NM-05: Eigenvalue dan Eigenvector Numerik ~ tau-data Indonesia
Pingback: MFDS-NM-04: Eigenvalue dan Eigenvector Numerik ~ tau-data Indonesia