Linear Algebra Lecture Notes by Greg Mayer - PDF
About this book :-
"Linear Algebra Lecture Notes" by "Greg Mayer" are a clear and practical resource created to support undergraduate students learning linear algebra. Written in a simple and direct style, these notes are ideal for classroom use or self-study. The material focuses on building understanding step by step, making complex ideas easier for learners encountering linear algebra for the first time.
The notes cover essential topics such as "vectors", "matrices", "systems of linear equations", "determinants", "eigenvalues", and "linear transformations". Each concept is explained with clear definitions, examples, and worked problems. The emphasis is on understanding how methods work, not just applying formulas, which helps students develop strong problem-solving skills.
One of the main strengths of these lecture notes is their accessibility. As freely available educational material, they are widely used alongside standard textbooks or as a standalone reference. They are especially useful for students in mathematics, engineering, computer science, and related fields who need a solid foundation in "linear algebra". Overall, Greg Mayer’s notes offer a reliable, concise, and student-friendly introduction to the subject.
Book Detail :-
Title:
Linear Algebra Lecture Notes by Greg Mayer - PDF
Publisher:
Greg Mayer, Georgia Institute of Technology
Year:
2021
Pages:
99
Type:
PDF
Language:
English
ISBN-10 #:
N\A
ISBN-13 #:
N\A
License:
CC BY-SA 4.0
Amazon:
Amazon
About Author :-
The author
Greg Mayer
is a mathematics educator at the Georgia Institute of Technology, where he teaches and develops courses in "Linear Algebra". He is known for creating clear, student-friendly lecture notes that focus on understanding concepts rather than memorizing formulas. His work supports both in-class and self-study learning. With a strong background in mathematics and online education, Mayer emphasizes "Vectors", "Matrices", and practical problem-solving. His teaching materials are widely used because they are well-structured, accessible, and designed to help students build confidence in linear algebra fundamentals.
Book Contents :-
1. Applications of Matrix Algebra
1.1 Block Matrices
1.2 The LU Factorization
1.3 The Leontief Input-Output Model
1.4 2D Computer Graphics
1.5 3D Computer Graphics
2. Symmetric Matrices and the SVD
2.1 Orthogonal Diagonalization
2.2 Quadratic Forms
2.3 Quadratic Surfaces
2.4 Constrained Optimization
2.5 Singular Values
2.6 The SVD
2.7 Applications of the SVD
3. Appendices
3.1 Symmetric Matrices Have Real Eigenvalues
3.2 The Spectral Decomposition of a Symmetric Matrix
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