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Langue: anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2023
ISBN 10 : 1611977398 ISBN 13 : 9781611977394
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Ajouter au panierPaperback. Etat : New. Designed for a proof-based course on linear algebra, this rigorous and concise textbook intentionally introduces vector spaces, inner products, and vector and matrix norms before Gaussian elimination and eigenvalues so students can quickly discover the singular value decomposition (SVD)-arguably the most enlightening and useful of all matrix factorizations. Gaussian elimination is then introduced after the SVD and the four fundamental subspaces and is presented in the context of vector spaces rather than as a computational recipe. This allows the authors to use linear independence, spanning sets and bases, and the four fundamental subspaces to explain and exploit Gaussian elimination and the LU factorization, as well as the solution of overdetermined linear systems in the least squares sense and eigenvalues and eigenvectors. This unique textbook also includes examples and problems focused on concepts rather than the mechanics of linear algebra. The problems at the end of each chapter and in an associated website encourage readers to explore how to use the notions introduced in the chapter in a variety of ways. Additional problems, quizzes, and exams will be posted on an accompanying website and updated regularly. The Less Is More Linear Algebra of Vector Spaces and Matrices is for students and researchers interested in learning linear algebra who have the mathematical maturity to appreciate abstract concepts that generalize intuitive ideas. The early introduction of the SVD makes the book particularly useful for those interested in using linear algebra in applications such as scientific computing and data science. It is appropriate for a first proof-based course in linear algebra.
Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10 : 1611977398 ISBN 13 : 9781611977394
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Langue: anglais
Edité par Springer New York 2008-10-10, 2008
ISBN 10 : 0387733930 ISBN 13 : 9780387733937
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Edité par Springer, 2007
ISBN 10 : 0387733930 ISBN 13 : 9780387733937
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Ajouter au panierSoftcover. Etat : Very Good. No Jacket. First edition. 1st 2007. Very good condition. Ten Lectures on Subjective Computing. Surveys and Tutorials in the Applied Mathematical Sciences Volume II. Yellow cardwraps. Some light creasing to covers. Contents are clean. Packaged with care and promptly dispatched!
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Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Langue: anglais
Edité par MP-SIA SIAM - Society for Industrial and Applied M, 2023
ISBN 10 : 1611977398 ISBN 13 : 9781611977394
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Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Edité par Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Ajouter au panierPaperback. Etat : New. This textbook provides a solid mathematical basis for understanding popular data science algorithms for clustering and classification and shows that an in-depth understanding of the mathematics powering these algorithms gives insight into the underlying data. It presents a step-by-step derivation of these algorithms, outlining their implementation from scratch in a computationally sound way.Mathematics of Data Science: A Computational Approach to Clustering and Classificationproposes different ways of visualizing high-dimensional data to unveil hidden internal structures, andincludes graphical explanations and computed examples using publicly available data sets in nearly every chapter to highlight similarities and differences among the algorithms.
Langue: anglais
Edité par Society For Industrial & Applied Mathematics,U.S., 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Ajouter au panierPaperback / Softback. Etat : Brand New. 189 pages. 10.94x8.43x0.91 inches. In Stock.
Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., New York, 2023
ISBN 10 : 1611977398 ISBN 13 : 9781611977394
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Ajouter au panierPaperback. Etat : new. Paperback. Designed for a proof-based course on linear algebra, this rigorous and concise textbook intentionally introduces vector spaces, inner products, and vector and matrix norms before Gaussian elimination and eigenvalues so students can quickly discover the singular value decomposition (SVD)arguably the most enlightening and useful of all matrix factorizations. Gaussian elimination is then introduced after the SVD and the four fundamental subspaces and is presented in the context of vector spaces rather than as a computational recipe. This allows the authors to use linear independence, spanning sets and bases, and the four fundamental subspaces to explain and exploit Gaussian elimination and the LU factorization, as well as the solution of overdetermined linear systems in the least squares sense and eigenvalues and eigenvectors. This unique textbook also includes examples and problems focused on concepts rather than the mechanics of linear algebra. The problems at the end of each chapter and in an associated website encourage readers to explore how to use the notions introduced in the chapter in a variety of ways. Additional problems, quizzes, and exams will be posted on an accompanying website and updated regularly. The Less Is More Linear Algebra of Vector Spaces and Matrices is for students and researchers interested in learning linear algebra who have the mathematical maturity to appreciate abstract concepts that generalize intuitive ideas. The early introduction of the SVD makes the book particularly useful for those interested in using linear algebra in applications such as scientific computing and data science. It is appropriate for a first proof-based course in linear algebra. Designed for a proof-based course on linear algebra, this rigorous and concise textbook intentionally introduces vector spaces, inner products, and vector and matrix norms before Gaussian elimination and eigenvalues so students can quickly discover the singular value decomposition (SVD) - arguably the most useful of all matrix factorizations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2023
ISBN 10 : 1611977398 ISBN 13 : 9781611977394
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Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2023
ISBN 10 : 1611977398 ISBN 13 : 9781611977394
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Ajouter au panierPaperback. Etat : Brand New. 225 pages. 10.00x7.01x0.63 inches. In Stock.
Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Edité par Society for Industrial & Applied Mathematics,U.S., 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Langue: anglais
Edité par MP-SIA SIAM - Society for Industrial and Applied M, 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Edité par SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10 : 1611977398 ISBN 13 : 9781611977394
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Langue: anglais
Edité par SIAM-Society for Industrial and Applied Mathematics, 2013
ISBN 10 : 1611972477 ISBN 13 : 9781611972474
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Ajouter au panierPaperback. Etat : Brand New. 234 pages. 10.00x0.60x7.00 inches. In Stock.
Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10 : 1611977398 ISBN 13 : 9781611977394
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Langue: anglais
Edité par Society for Industrial and Applied Mathematics, 2013
ISBN 10 : 1611972477 ISBN 13 : 9781611972474
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
Langue: anglais
Edité par SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10 : 1611976367 ISBN 13 : 9781611976366
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Edité par Society for Industrial and Applied Mathematics (SIAM), 2012
ISBN 10 : 1611972477 ISBN 13 : 9781611972474
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Ajouter au panierPAP. Etat : Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.
Langue: anglais
Edité par Society for Industrial and Applied Mathematics (SIAM), 2012
ISBN 10 : 1611972477 ISBN 13 : 9781611972474
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue: anglais
Edité par Society for Industrial and Applied Mathematics, 2013
ISBN 10 : 1611972477 ISBN 13 : 9781611972474
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