Noguchi Masato (25 results)
Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)
Tsukada, Makoto; Kobayashi, Yuji; Kaneko, Hiroshi; Takahasi, Sin-Ei; Shirayanagi, Kiyoshi; Noguchi, Masato
- Hardcover
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Linear Algebra with Python
Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi
- Hardcover
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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Hardback. Condition: New. 2023 ed. 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.Read more Continue reading Read less FROM THE BACK COVERThis 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 symboli.
Linear Algebra with Python
Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Hardback. Condition: New. 2023 ed. 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.
Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)
Tsukada, Makoto; Kobayashi, Yuji; Kaneko, Hiroshi; Takahasi, Sin-Ei; Shirayanagi, Kiyoshi; Noguchi, Masato
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)
Tsukada, Makoto; Kobayashi, Yuji; Kaneko, Hiroshi; Takahasi, Sin-Ei; Shirayanagi, Kiyoshi; Noguchi, Masato
- Softcover
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Linear Algebra with Python
Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi
- Hardcover
Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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Hardback. Condition: New. 2023 ed. 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.
Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)
Tsukada, Makoto; Kobayashi, Yuji; Kaneko, Hiroshi; Takahasi, Sin-Ei; Shirayanagi, Kiyoshi; Noguchi, Masato
- Hardcover
- First Edition
Seller: BestAroundDeals, Grand Rapids, MI, U.S.A.BestAroundDeals
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Hardcover. Condition: New. 1st Edition.
? Natsume Soseki From birth to light and darkness?
Jun Eto Masato Ara Yuriko Inoue Takehiko Noguchi Atsuko Kumasaka et al.
Published by Gakutosha, 1978
- Softcover
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Published by Gakutosha, 1978
- Softcover
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Geijutsu Shincho October 1960 Vol. 11 No. 10 Special feature: How was this message put to use? 10 quotes from the postwar art world
Edited by: Yoshio Sato; Written by: Isamu Noguchi Masato Ara et al.
Published by Shinchosha, 1960
- Softcover
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Add to basketCondition: Fine. Number of pages: 288p Size: A5 Number of books: 1 book.
Gejutsu Shincho October 1960 Vol. 11 No. 10 Special feature: How was this message put to use? 10 quotes from the postwar art world
Edited by: Yoshio Sato; Written by: Isamu Noguchi Masato Ara et al.
Published by Shinchosha, 1960
- Softcover
Seller: Sunny Day Bookstore, SINGAPORE, SingaporeSunny Day Bookstore
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Add to basketCondition: Fine. Number of pages: 288p Size: A5 Number of books: 1 book.
Gejutsu Shincho October 1960 Vol. 11 No. 10 Special feature: How was this message put to use? 10 quotes from the postwar art world
Edited by: Yoshio Sato; Written by: Isamu Noguchi Masato Ara et al.
Published by Shinchosha, 1960
- Softcover
Seller: Sunny Day Bookstore, SINGAPORE, SingaporeSunny Day Bookstore
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Published by Not Available, 1978
- Softcover
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Geijutsu Shincho October 1960 Vol. 11 No. 10 Special feature: How was this message put to use? 10 quotes from the postwar art world
Edited by: Yoshio Sato; Written by: Isamu Noguchi Masato Ara et al.
Published by Shinchosha, 1960
- Softcover
Seller: Sunny Day Bookstore, SINGAPORE, SingaporeSunny Day Bookstore
Contact seller4-star sellerCondition: Used - Fine
£ 45.68
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Add to basketCondition: Fine. Number of pages: 288p Size: A5 Number of books: 1 book.
Gejutsu Shincho October 1960 Vol. 11 No. 10 Special feature: How was this message put to use? 10 quotes from the postwar art world
Edited by: Yoshio Sato; Written by: Isamu Noguchi Masato Ara et al.
Published by Shinchosha, 1960
- Softcover
Seller: Sunny Day Bookstore, SINGAPORE, SingaporeSunny Day Bookstore
Contact seller4-star sellerCondition: Used - Fine
£ 45.68
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Published by Gakutosha, 1978
- Softcover
Seller: Sunny Day Bookstore, SINGAPORE, SingaporeSunny Day Bookstore
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[Magazine] Landscape 16-6
Creation - Kenji Nakagami Hisao Sawano Roundtable Discussion Literature in the 1940s 2 - Masato Ara Susumu Odagiri Fujio Noguchi Writing - Shoichi Saeki Chotaro Kawasaki Shinichi Nakamura Tomie Ohar.
Published by leisurely meeting, 1975
- Softcover
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Gejutsu Shincho October 1960 Vol. 11 No. 10 Special feature: How was this message put to use? 10 quotes from the postwar art world
Edited by: Yoshio Sato; Written by: Isamu Noguchi Masato Ara et al.
Published by Shinchosha, 1960
- Softcover
Seller: Sunny Day Bookstore, SINGAPORE, SingaporeSunny Day Bookstore
Contact seller4-star sellerCondition: Used - Fine
£ 45.68
£ 11.09 shippingShips from Singapore to U.S.A.Quantity: 1 available
Add to basketCondition: Fine. Number of pages: 288p Size: A5 Number of books: 1 book.
Geijutsu Shincho October 1960 Vol. 11 No. 10 Special feature: How was this message put to use? 10 quotes from the postwar art world
Edited by: Yoshio Sato; Written by: Isamu Noguchi Masato Ara et al.
Published by Shinchosha, 1960
- Softcover
Seller: Sunny Day Bookstore, SINGAPORE, SingaporeSunny Day Bookstore
Contact seller4-star sellerCondition: Used - Fine
£ 45.68
£ 11.09 shippingShips from Singapore to U.S.A.Quantity: 1 available
Add to basketCondition: Fine. Number of pages: 288p Size: A5 Number of books: 1 book.
Gejutsu Shincho October 1960 Vol. 11 No. 10 Special feature: How was this message put to use? 10 quotes from the postwar art world
Edited by: Yoshio Sato; Written by: Isamu Noguchi Masato Ara et al.
Published by Shinchosha, 1960
- Softcover
Seller: Sunny Day Bookstore, SINGAPORE, SingaporeSunny Day Bookstore
Contact seller4-star sellerCondition: Used - Fine
£ 45.68
£ 11.09 shippingShips from Singapore to U.S.A.Quantity: 1 available
Add to basketCondition: Fine. Number of pages: 288p Size: A5 Number of books: 1 book.
Linear Algebra with Python
Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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£ 68.23
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Hardback. Condition: New. 2023 ed. 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.
Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)
Tsukada, Makoto; Kobayashi, Yuji; Kaneko, Hiroshi; Takahasi, Sin-Ei; Shirayanagi, Kiyoshi; Noguchi, Masato
- Softcover
- Print on Demand
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Linear Algebra with Python: Theory and Applications (Springer Undergraduate Texts in Mathematics and Technology)
Tsukada, Makoto; Kobayashi, Yuji; Kaneko, Hiroshi; Takahasi, Sin-Ei; Shirayanagi, Kiyoshi; Noguchi, Masato
- Softcover
- Print on Demand
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Linear Algebra with Python
Makoto Tsukada|Yuji Kobayashi|Hiroshi Kaneko|Sin-Ei Takahasi|Kiyoshi Shirayanagi|Masato Noguchi
- Hardcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gives a unified overview of various phenomena with linear structure from the perspective of functional analysisMakes it enjoyable to learn linear algebra with Python by performing linear calculations without manual ca…lculationsHandles large.
Linear Algebra with Python
Tsukada, Makoto; Kobayashi, Yuji; Kaneko, Hiroshi; Takahasi, Sin-Ei; Shirayanagi, Kiyoshi; Noguchi, Masato
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
