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Earth to Mars a LLC
A Self-Study Website
Introduction to Linear Algebra
Linear algebra is the study of vector spaces and linear mappings between those spaces. It simplifies systems of equations with high numbers of variables to be easily solved. This has applications in Quantum Mechanics and in Regression Analysis.
The prerequisites for this course are: Calculus II
This course is a co- or prerequisite for: Classical Mechanics I
Book resources
- David Poole - Linear Algebra_ A Modern Introduction (2014, Cengage Learning) - libgen.lc
- Schaums Easy Outline Of Linear Algebra Revised
Chapter 5 - Orthogonality
Section 5.1 - Orthogonality in R^n
Section 5.2 - Orthogonal Complements and Orthogonal Projections
Section 5.3 - The Gram-Schmidt Process and the QR Factorization
Section 5.4 - Orthogonal Diagonalization of Symmetric Matrices
Section 5.5 - Applications
Chapter 5 - Orthogonality
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