MATH 504 / CS 575: Numerical Linear Algebra

Time and Place: TR 2:00 pm - 3:15 pm, at Ortega 123
Instructor: Jehanzeb H. Chaudhry (Zeb), jehanzeb@unm.edu, www.math.unm.edu/~jehanzeb
Office Hours: TR: 3:15 - 4:30, or walkins. Location: SLMC 310.

Syllabus

Homeworks, example codes, notes etc: The course is administered through Canvas. All homeworks, example codes and notes (if any) will be posted on Canvas.

Computing: Python along with the libraries numpy, scipy and matplotlib are excellent for scientific computing. Python has a very gentle learning curve, so you should feel at home even if you've never done any work in Python. You can combobe Latex, Python code, and figures in Jupyter Notebooks .

Python tutorial (https://docs.python.org/3/tutorial/index.html)
Facts and myths about Python names and values (http://nedbatchelder.com/text/names.html)
Spyder (a Python IDE, like Matlab)

An introduction to Numpy and SciPy (http://www.engr.ucsb.edu/~shell/che210d/numpy.pdf)
Jupyter Notebooks (https://jupyter.org/) or better still Jupyter Lab (https://jupyterlab.readthedocs.io/en/stable/")