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Linear Algebra Python Theory by Tsukada Makoto (18 results)
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Linear Algebra With Python : Theory and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)
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Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)
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Linear Algebra With Python : Theory and Applications
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Linear Algebra with Python : Theory and Applications
Published by Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819929539 ISBN 13: 9789819929535
Language: English
US$ 81.14
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms.A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron-Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences.Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding. By using Python's libraries NumPy, Matplotlib, VPython, and SymPy, readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations. All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.
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Linear Algebra with Python : Theory and Applications
Published by Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9819929504 ISBN 13: 9789819929504
Language: English
US$ 81.14
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms.A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron-Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences.Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding. By using Python's libraries NumPy, Matplotlib, VPython, and SymPy, readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations. All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.
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US$ 111.15
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Add to basketHardcover. Condition: Brand New. 324 pages. 10.00x7.01x0.98 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 324 pages. 10.00x7.01x0.98 inches. In Stock. This item is printed on demand.
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US$ 112.19
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