Articles liés à MATLAB Fundamentals for Applied Linear Algebra
Synopsis
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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MATLAB Fundamentals for Applied Linear Algebra
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MATLAB Fundamentals for Applied Linear Algebra
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MATLAB Fundamentals for Applied Linear Algebra
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ISBN 13 : 9798281942041
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MATLAB Fundamentals for Applied Linear Algebra
Edité par
Independently published, 2025
ISBN 13 : 9798281942041
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Couverture souple
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MATLAB Fundamentals for Applied Linear Algebra
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MATLAB Fundamentals for Applied Linear Algebra (Paperback)
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Paperback. Etat : new. Paperback. 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 DiscoverProven shortcuts for matrix factorization that slice runtime on large datasetsHow to diagnose ill-conditioned systems with operator norms and condition numbersCrafting orthonormal bases using Gram-Schmidt, Householder reflections, and Givens rotationsDeploying the Singular Value Decomposition for dimensionality reduction and noise filteringLeveraging sparse and banded matrix structures to save gigabytes of memoryUnlock deeper intuition, write cleaner code, and solve bigger problems-faster. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798281942041
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MATLAB Fundamentals for Applied Linear Algebra (Paperback)
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
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Paperback. Etat : new. Paperback. 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 DiscoverProven shortcuts for matrix factorization that slice runtime on large datasetsHow to diagnose ill-conditioned systems with operator norms and condition numbersCrafting orthonormal bases using Gram-Schmidt, Householder reflections, and Givens rotationsDeploying the Singular Value Decomposition for dimensionality reduction and noise filteringLeveraging sparse and banded matrix structures to save gigabytes of memoryUnlock deeper intuition, write cleaner code, and solve bigger problems-faster. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798281942041
Quantité disponible : 1 disponible(s)