Comprehensive coverage of matrix algebra for data science and statistical theoryOver 100 pages of additional material and 30 extra exercises in the new editionEven clearer text and more comprehensive coverage
Rezensionen / Stimmen
"Gentle has put in a lot of time and effort to writing this book with careful attention to details. . it is all needed to make sure the student has a firm and solid understanding of matrix algebra on the graduate level. I would recommend this book for all those who teach graduate level matrix algebra or . to those undergraduate students who wish to have an independent study." (Peter Olszewski, MAA Reviews, January, 2018)
"Beautifully written, easy to read, with a well subindexed index of 16 pages and a bibliography of 13 that includes most modern and relevant textbooks and articles in the area of matrix theory and computations, as well as for statistics and big data computations." (Frank Uhlig, zbMATH 1386.15002, 2018)
"This very reader-friendly written volume presents an opportunity to graduate students and researchers to enjoy reading on the classical matrix analysis in its modern applications to statistics and to implement thesemethods in practical problem solving." (Stan Lipovetsky, Technometrics, Vol. 60 (2), 2018)
