Numerical linear algebra
Material type:
TextPublication details: New Jersey : World Scientific, 2021 Description: x, 263 pagesISBN: 9780000990402Subject(s): Algebras, Linear | Numerical analysisDDC classification: 512.64 Online resources: Table of content | Reviews Summary: Many students come to numerical linear algebra from science and engineering seeking modern tools and an understanding of how the tools work and their limitations. Often their backgrounds and experience are extensive in applications of numerical methods but limited in abstract mathematics and matrix theory. Often enough it is limited to multivariable calculus, basic differential equations and methods of applied mathematics. This book introduces modern tools of numerical linear algebra based on this background, heavy in applied analysis but light in matrix canonical forms and their algebraic properties. Each topic is presented as algorithmic ideas and through a foundation based on mostly applied analysis. By picking a path through the book appropriate for the level, it has been used for both senior level undergraduates and beginning graduate classes with students from diverse fields and backgrounds.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Book
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NISER LIBRARY | 512.64 LAY-N (Browse shelf(Opens below)) | Available | 25613 |
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| 512.64 KWA-L Linear algebra | 512.64 LAN-I Introduction to linear algebra | 512.64 LAX-L Linear algebra and its applications | 512.64 LAY-N Numerical linear algebra | 512.64 LIE-L Linear algebra | 512.64 MOH-L Linear algebra and its applications | 512.64 RAN-I Introduction to linear algebra(an) |
Includes bibliographical references and index.
Many students come to numerical linear algebra from science and engineering seeking modern tools and an understanding of how the tools work and their limitations. Often their backgrounds and experience are extensive in applications of numerical methods but limited in abstract mathematics and matrix theory. Often enough it is limited to multivariable calculus, basic differential equations and methods of applied mathematics. This book introduces modern tools of numerical linear algebra based on this background, heavy in applied analysis but light in matrix canonical forms and their algebraic properties. Each topic is presented as algorithmic ideas and through a foundation based on mostly applied analysis. By picking a path through the book appropriate for the level, it has been used for both senior level undergraduates and beginning graduate classes with students from diverse fields and backgrounds.
Senior undergraduate and first year graduate in areas related to numerical analysis.
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