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Linear algebra

Material type: 図書

Author: Kazuo Murota (the Institute of Statistical Mathematics, Japan, Professor Emeritus at the University of Tokyo, Japan & Kyoto University, Japan & Tokyo Metropolitan University, Japan), Masaaki Sugihara (Professor Emeritus at the University of Tokyo, Japan & Nagoya University, Japan)

Publisher: Maruzen Publishing : World Scientific

Publication date: [2022]

Material Format: Paper

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Note (General)：: Content Type: text (rdacontent), Media Type: unmediated (rdamedia), Carrier Type: volume (rdacarrier)"These volumes were originally written in Japanes...

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Paper

Material Type: 図書
ISBN: 9789811257988
Title: Linear algebra
Author/Editor: Kazuo Murota (the Institute of Statistical Mathematics, Japan, Professor Emeritus at the University of Tokyo, Japan & Kyoto University, Japan & Tokyo Metropolitan University, Japan), Masaaki Sugihara (Professor Emeritus at the University of Tokyo, Japan & Nagoya University, Japan)
Author Heading: Murota, Kazuo
Sugihara, Masaaki
Publication, Distribution, etc.: Maruzen Publishing : World Scientific
Publication Date: [2022]
Publication Date (W3CDTF): 2022
Alternative Title: Senkei daisū
Place of Publication (Country Code): ja
Text Language Code: en
Subject Heading: Algebras, Linear -- Textbooks
Algebras, Linear
LCC: TA347.L5
Target Audience: 一般
Note (General): Content Type: text (rdacontent), Media Type: unmediated (rdamedia), Carrier Type: volume (rdacarrier)
"These volumes were originally written in Japanese and published from Maruzen Publishing in 2013 and 2015. The present English version is their almost faithful translations by the authors"-- preface
Includes bibliographical references and index
Summary: "This is the first volume of the two-volume book on linear algebra, in the University of Tokyo (UTokyo) Engineering Course. The objective of this volume is to present, from the engineering viewpoint, the standard mathematical results in linear algebra such as those on systems of equations and eigenvalue problems. In addition to giving mathematical theorems and formulas, it explains how the mathematical concepts such as rank, eigenvalues, and singular values are linked to engineering applications and numerical computations. In particular, the following four aspects are emphasized. How matrices arise (discretization of differential equations, description of system structures, description of transition probability) What kinds of matrices arise (sparse matrices, positive definite matrices, diagonally-dominant matrices, nonnegative matrices, integer matrices, polynomial matrices) What characteristics we are interested in (rank, eigenvalues, singular values, positive definiteness) How we can compute (expan
Related Material (URI): https://ci.nii.ac.jp/ncid/BC16862340#entity
https://lccn.loc.gov/2022030855
Data Provider (Database): 国立情報学研究所 : CiNii Research
Original Data Provider (Database): CiNii Books
https://ci.nii.ac.jp/books
NCID: https://ci.nii.ac.jp/ncid/BC16862340 : BC16862340
LC Control Number: 2022030855
https://lccn.loc.gov/2022030855