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 ...
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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. Inside You'll Discover 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.
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Add this copy of MATLAB Fundamentals for Applied Linear Algebra to cart. $32.20, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
Add this copy of Matlab Fundamentals for Applied Linear Algebra to cart. $40.05, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2025 by Independently published.
Add this copy of MATLAB Fundamentals for Applied Linear Algebra to cart. $43.79, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
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Fine. Trade paperback (US). Glued binding. 514 p. MATLAB Fundamentals. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of MATLAB Fundamentals for Applied Linear Algebra to cart. $44.17, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2025 by Independently Published.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Trade paperback (US). Glued binding. 514 p. MATLAB Fundamentals. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
