Linear algebra¶
Five ranked references. Rank 1 is the default spine, not a requirement to read all five.
1 | Introduction to Linear Algebra¶
Gilbert Strang | Primary spine | Undergraduate
Geometric, computational, and applications-oriented; unusually good bridge into engineering, ML, inverse problems, and numerical methods.
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2 | Linear Algebra Done Right, 4th ed.¶
Sheldon Axler | Rigor / second pass | Upper undergraduate
Makes invariant subspaces, operators, eigenstructure, and spectral thinking conceptually clean.
Amazon search | Full open current edition
3 | Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares¶
Stephen Boyd, Lieven Vandenberghe | Applied bridge | Undergraduate
Excellent for least squares, modeling, data, estimation, and optimization; directly useful in modern engineering.
Amazon search | Full legal web/PDF
4 | Linear Algebra¶
Jim Hefferon | Open drill | Undergraduate
Proof-capable first course with extensive worked solutions and computational applications.
Amazon search | Full open text
5 | A First Course in Linear Algebra¶
Robert A. Beezer | Open reference | Undergraduate
Broad, formal, and exercise-rich; valuable as a second source when one explanation does not click.
Amazon search | Full open text