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Linear Algebra with Python by Makoto Tsukada, Yuji Kobayashi,... - 9789819929535

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Product Description

Linear Algebra with PythonTheory and Applications

Author(s): Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi

Format: Paperback

Publisher: Springer Verlag, Singapore, Singapore

Imprint: Springer Verlag, Singapore

ISBN-13: 9789819929535, 978-9819929535

Synopsis

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.

Linear Algebra with Python by Makoto Tsukada, Yuji Kobayashi,... - 9789819929535

Linear Algebra with PythonTheory and Applications

Author(s): Makoto Tsukada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi

Format: Paperback

Publisher: Springer Verlag, Singapore, Singapore

Imprint: Springer Verlag, Singapore

ISBN-13: 9789819929535, 978-9819929535

Synopsis

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.

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