References
Brunton, Steven L., and J. Nathan Kutz. 2022. Data-Driven Science
and Engineering - Machine Learning, Dynamical Systems, and Control.
2nd ed. Cambridge: Cambridge University Press.
Candès, Emmanuel J., Xiaodong Li, Yi Ma, and John Wright. 2011.
“Robust Principal Component Analysis?” J. ACM 58
(3). https://doi.org/10.1145/1970392.1970395.
Cooley, James W., and John W. Tukey. 1965. “An Algorithm for the
Machine Calculation of Complex Fourier Series.” Mathematics
of Computation 19 (90): 297–301. https://doi.org/10.1090/s0025-5718-1965-0178586-1.
Downey, Austin, and Laura Micheli. 2024. “Vibration Mechanics: A
Practical Introduction for Mechanical, Civil, and Aerospace
Engineers.” Zenodo. https://doi.org/10.5281/ZENODO.12539013.
Faragher, Ramsey. 2012. “Understanding the Basis of the Kalman
Filter via a Simple and Intuitive Derivation.” IEEE Signal
Processing Magazine 29 (5): 128–32.
Gauß, Carl Friedrich. 1866. “Theoria Interpolationis Methodo Nova
Tractata.”http://resolver.sub.uni-goettingen.de/purl?DE-611-HS-3373323
.
Golub, Gene H., and Charles F. Van Loan. 2013. Matrix
Computations. 4th ed. Johns Hopkins Studies in the Mathematical
Sciences.
Inden, Michael. 2023. Python Lernen - Kurz & Gut.
Sebastopol: O’Reilly.
Lambert, Ben. 2018. A Student’s Guide to Bayesian Statistics.
London, England: SAGE Publications.
Manohar, Krithika, Bingni W. Brunton, J. Nathan Kutz, and Steven L.
Brunton. 2018. “Data-Driven Sparse Sensor Placement for
Reconstruction: Demonstrating the Benefits of Exploiting Known
Patterns.” IEEE Control Systems Magazine 38 (3): 63–86.
https://doi.org/10.1109/MCS.2018.2810460.
Matthes, Eric. 2023. Python Crash Course - a Hands-on, Project-Based
Introduction to Programming. 3rd ed. No Starch Press. https://ehmatthes.github.io/pcc_3e/.
McKinney, Wes. 2022. Python for Data Analysis 3e. 3rd ed.
Sebastopol, CA: O’Reilly Media. https://wesmckinney.com/book/.
Mehrle, Andreas. 2024. “Data Science.”
Management Center Innsbruck, Reader for the Course.
Meyberg, Kurt, and Peter Vachenauer. 1992. Höhere
Mathematik 2. Springer-Lehrbuch. New York, NY: Springer.
Needell, D., and J. A. Tropp. 2009. “CoSaMP: Iterative Signal
Recovery from Incomplete and Inaccurate Samples.” Applied and
Computational Harmonic Analysis 26 (3): 301–21. https://doi.org/https://doi.org/10.1016/j.acha.2008.07.002.
Ritchie, Hannah, Lucas Rodés-Guirao, Edouard Mathieu, Marcel Gerber,
Esteban Ortiz-Ospina, Joe Hasell, and Max Roser. 2023. “Population
Growth.” Our World in Data.
Vasiliev, Yuli. 2022. Python for Data Science - a Hands-on
Introduction. München: No Starch Press.