Ready to turn MATLAB into your personal powerhouse for conquering every core topic of applied linear algebra? This definitive reference distills the subject into 99 laser-focused chapters that walk you from scalar arithmetic to the Singular Value Decomposition-with code-ready examples at every step. Whether you're an engineering student, data-science professional, or researcher hunting for rock-solid numerical methods, you'll find the clarity, rigor, and hands-on practice that other texts leave out.

What Sets It Apart

- Step-by-Step MATLAB Walkthroughs - Instantly runnable scripts and functions illustrate each theorem, proof, and algorithm.
- Concept-First Structure - Pure mathematics first; syntax second, so you grasp why every command works.
- Comprehensive Coverage - Eigenvalues, LU/QR/Cholesky factorizations, least-squares, pseudoinverses, condition numbers, Kronecker products, sparse matrices, Gershgorin disks, Lyapunov and Sylvester equations, and much more.
- Zero Fluff - No installation guides, no GUI screenshots-just the ironclad math and code professionals need.
- Built for Real-World Impact - Optimize control systems, accelerate machine-learning pipelines, and bulletproof scientific computations.

• Proven shortcuts for matrix factorization that slice runtime on large datasets
• How to diagnose ill-conditioned systems with operator norms and condition numbers
• Crafting orthonormal bases using Gram-Schmidt, Householder reflections, and Givens rotations
• Deploying the Singular Value Decomposition for dimensionality reduction and noise filtering
• Leveraging sparse and banded matrix structures to save gigabytes of memory

Unlock deeper intuition, write cleaner code, and solve bigger problems-faster.