Linear Algebra

THE DEFINITIVE LINEAR ALGEBRA TEXTBOOK - FROM FIRST PRINCIPLES TO RESEARCH-LEVEL METHODS

Nearly 1,000 pages of clear explanations, intuitive geometry, and rigorous theory - your complete companion from secondary school through graduate study and beyond.

Linear algebra is the language of mathematics and the engine of modern science. This comprehensive treatise takes you on a journey from the very foundations to the frontiers of advanced methods, written for students who begin at secondary-school level and continue through university and beyond.

WHAT YOU WILL LEARN:

• Foundations: Vectors, matrices, systems of equations, and Gaussian elimination
• Core Theory: Vector spaces, linear maps, determinants, eigenvalues, and orthogonality
• Inner Products & Projections: Gram-Schmidt, QR decomposition, and least squares
• Decompositions: LU, QR, SVD, Cholesky, and the spectral theorem
• Canonical Forms: Jordan normal form, diagonalisation, and matrix functions
• Numerical Methods: Computational linear algebra, iterative solvers, and stability analysis
• Applications: Data science, machine learning, signal processing, optimisation, physics, and engineering

WHY THIS BOOK STANDS OUT:

Every chapter blends motivation, worked examples, and elegant mathematics. Exercises range from foundational drills to research-level challenges. Whether your goal is mastery for study, research, or application, this book will be a trusted companion at every stage of your journey.

USE THE "LOOK INSIDE" FEATURE to preview the table of contents, introduction, and sample chapters before you buy.

Published by the Scottish Science Society - www.scottishsciencesociety.orgTHE DEFINITIVE LINEAR ALGEBRA TEXTBOOK - FROM FIRST PRINCIPLES TO RESEARCH-LEVEL METHODS

Nearly 1,000 pages of clear explanations, intuitive geometry, and rigorous theory - your complete companion from secondary school through graduate study and beyond.

Linear algebra is the language of mathematics and the engine of modern science. This comprehensive treatise takes you on a journey from the very foundations to the frontiers of advanced methods, written for students who begin at secondary-school level and continue through university and beyond.

WHAT YOU WILL LEARN:

• Foundations: Vectors, matrices, systems of equations, and Gaussian elimination
Core Theory: Vector spaces, linear maps, determinants, eigenvalues, and orthogonality
Inner Products & Projections: Gram-Schmidt, QR decomposition, and least squares
• Decompositions: LU, QR, SVD, Cholesky, and the spectral theorem
• Canonical Forms: Jordan normal form, diagonalisation, and matrix functions
• Numerical Methods: Computational linear algebra, iterative solvers, and stability analysis
• Applications: Data science, machine learning, signal processing, optimisation, physics, and engineering

WHY THIS BOOK STANDS OUT:

Every chapter blends motivation, worked examples, and elegant mathematics. Exercises range from foundational drills to research-level challenges. Whether your goal is mastery for study, research, or application, this book will be a trusted companion at every stage of your journey.

USE THE "LOOK INSIDE" FEATURE to preview the table of contents, introduction, and sample chapters before you buy.

Published by the Scottish Science Society - www.scottishsciencesociety.org