Presents the first book on matrix algorithms in concise and well tested MATLAB codes. Allows readers quick understanding of algorithms by debugging codes. Codes are useful for many numerical computations.
A. Slivkins. (2019)cite arxiv:1904.07272Comment: The manuscript is complete, but comments are very welcome! To be published with Foundations and Trends in Machine Learning.
R. Sharipov. (2004)cite arxiv:math/0412421Comment: The textbook, AmSTeX, 132 pages, amsppt style, prepared for double side printing on letter size paper.