Tian Linear Algebra

Key Ideas and Methods for a First Course
Erscheinungsjahr 2025
ISBN: 978-3-031-84647-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 148 Seiten

Reihe: Synthesis Lectures on Mathematics & Statistics

This book presents algebra in a concise and clear way, allowing beginner students to quickly attain the required proficiency. As to opposed to existing books on the subject that cover too many topics, some of which are too complex and intimidating for a first course in linear algebra, this book only presents the essential topics in a more user-friendly manner. The author includes an optimized order of topics that are adapted to the learning patterns of students.  In addition, carefully designed examples are presented to enhance reader confidence to master the material and to avoid frequently observed frustration.  This textbook is ideal for a one semester course on basic linear algebra for college students majoring in mathematics, engineering, and other sciences.

Zielgruppe

Lower undergraduate

Autoren/Hrsg.

Tian, Haiyan

Inhaltsverzeichnis

Linear Equations.- Matrix Algebra.- Determinants.- Vector Spaces.- Eigenvalues and Eigenvectors.- Orthogonality.

Über Autor(innen)

Haiyan Tian, Ph.D., is a Professor of Mathematics at The University of Southern Mississippi (USM). Her research interests include nonlinear partial differential equations, applied analysis, computational mathematics, numerical analysis, and mathematical modeling. She has taught multiple mathematics subjects at both undergraduate and graduate levels. Dr. Tian is actively involved in math education. She started in 2007 to host the AMC contests at the USM campus to offer the talented Mississippi students an opportunity to participate in the national contests. She was the USM-AMC contest manager during 2007-2012. As the principal investigator, she received nine consecutive grants (2009-2017) from the U.S. Department of Education, through Mississippi Institutions of Higher Learning, for directing the USM Summer Math Institute for Mathematics Teachers.