Readings
Contents
Readings¶
Textbook¶
The course will make regular reference to [Gezerlis, 2020].
Bayesian Analysis¶
For a serious introduction to Bayesian Analysis, read sections I through III.A of [von Toussaint, 2011].
References¶
- Boy89
John P. Boyd. Chebyshev and Fourier Spectral Methods. Volume 49 of Lecture Notes in Engineering. Dover, Berlin Heidelberg, 2 edition, 1989. ISBN 978-0486411835. URL: http://www-personal.umich.edu/~jpboyd/BOOK_Spectral2000.html.
- FW06
Alexander L. Fetter and John Dirk Walecka. Nonlinear Mechanics: A Supplement to Theoretical Mechanics of Particles and Continua. Dover Publications, Mineola, New York, 2006. ISBN 978-0486450315.
- FNSV21
Michael McNeil Forbes, Hossein Noorazar, Gary Sandine, and Kevin R. Vixie. Cycles discovery: metrics, sparsity, and needles in a haystack. Cycles Magazine, 50(4):56–84, 2021. URL: https://journal.cycles.org/Issues/Vol50-No4-2021/.
- Gez20
Alex Gezerlis. Numerical Methods in Physics with Python. Cambridge University Press, 2020. doi:10.1017/9781108772310.
- Gol91
David Goldberg. What every computer scientist should know about floating-point arithmetic. ACM Computing Surveys, 1991. doi:0360-0300/91/0300-0005.
- Ham73
Richard W. Hamming. Numerical Methods for Scientists and Engineers. McGraw-Hill, Inc., New York, NY, USA, 1973. ISBN 978-0-486-65241-2.
- PTVF07
William H. Press, Saul A. Teukolsky, William T. Vetterling, and Brian P. Flannery. Numerical Recipes: The Art of Scientific Computing. Cambridge University Press, third edition, 2007.
- Van16
Jake VanderPlas. Python Data Science Handbook: Essential Tools for Working with Data. O'Reilly Media, Incorporated, Sebastopol, UNITED STATES, 2016. ISBN 9781491912140. URL: http://ebookcentral.proquest.com/lib/wsu/detail.action?docID=4746657.
- vT11
Udo von Toussaint. Bayesian inference in physics. Rev. Mod. Phys., 83:943–999, September 2011. URL: https://link.aps.org/doi/10.1103/RevModPhys.83.943, doi:10.1103/RevModPhys.83.943.