Yuji Kaneko (27 results)

Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 1996. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1996. Ammareal gives back up to 15% of this item's net price to charity organizations.

hardcover. Condition: Very Good.

Soft cover. Condition: Very good. No jacket. For Japanese and English readers! Book is in great condition with no visible flaws apart from some light handling wear. Binding is tight and inside is clean and unmarked.

Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good. 136 pp. ; illustrated (some in color) ; 27 cm. ; ISBN: 0870118110 ; LCCN: 86-40431 ; LC: TT105; Dewey: 745.594/1 ; OCLC: 15132843 ; textured red cloth with white lettering, in colorful photographic dustjacket ; lemon-green and white illustrated endpapers ; "While you can't stop time's passage, you can savor it and perhaps even slow it down a bit by celebrating the seasons. The Japanese, from ancient times, have done just this with seasonal festivities, foods, clothing, furnishings and decorative objects. Here, in 43 how-to projects, are new ways to bring an appreciation of the seasons, nature and tradition into your life."--dustjacket ; Ekiguchi Kunio has a successful and varied background in such traditional Japanese crafts as doll making and paper craft. His extensive knowledge of traditional Japanese papers and his talent for combining the classic with the modern are prominent in Gift Wrapping. He is the author of The Book of Boxes, The New Book of Boxes and Japanese Crafts and Customs. He is also the designer of the stylish Christmas arrangements featured in Origami for Christmas." ; text in English ; slight bump to dustjacket ; else VG/VG [This listing contains Japanese fonts]. Book.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

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.

Condition: New.

Hardcover. Condition: New.

Condition: New. In.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Hardcover. Condition: Brand New. 324 pages. 10.00x7.01x0.98 inches. In Stock.

Condition: New. 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 calculationsHandles large.

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.

Hardcover/Hardback. Condition: New. This book is a collection of background art by the renowned art director Yuji Kaneko. It showcases his beautiful and detailed paintings from various anime productions. The book is a testament to his skill in creating immersive and atmospheric worlds, making it a must-have for fans of anime art and aspiring background artists. 900.

Hardcover. Condition: Very Good. No Jacket. 175 pgs. Comes with box sleeve - 3 small scuff marks. Superior color photos - many full page (9.5 x 11.25 inch). No highlighting or underlining. Kajima Corporation recently celebrated 170th anniversary - at books printing. The first to establish its own research center, Kajima has pursued technologies for protecting lives and property from earthquakes and other disasters - enabling it to construct Japan's first skyscraper and to contribute to infrastructure safety and security.

Softcover/Paperback. Condition: New. Language: Japanese. Brand New. Ships from Japan via FedEx.

Hardcover. Condition: Brand New. 324 pages. 10.00x7.01x0.98 inches. In Stock. This item is printed on demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Condition: New. PRINT ON DEMAND.

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