Published by Springer International Publishing AG, Cham, 2018
ISBN 10: 3319573020 ISBN 13: 9783319573021
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
First Edition
Hardcover. Condition: new. Hardcover. This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigenproblems. Numerical algorithms illustrated by computer programs written in MATLAB are also provided as supplementary material on SpringerLink to give the reader a better understanding of professional numerical software for the solution of real-life problems. Perfect for a one- or two-semester course on numerical linear algebra, matrix computation, and large sparse matrices, this text will interest students at the advanced undergraduate or graduate level. This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Russell Books, Victoria, BC, Canada
First Edition
£ 139.60
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Add to basketHardcover. Condition: New. 1st Edition. Special order direct from the distributor.
Published by Springer International Publishing AG, Cham, 2018
ISBN 10: 3319573020 ISBN 13: 9783319573021
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
£ 265.12
Convert currencyQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigenproblems. Numerical algorithms illustrated by computer programs written in MATLAB are also provided as supplementary material on SpringerLink to give the reader a better understanding of professional numerical software for the solution of real-life problems. Perfect for a one- or two-semester course on numerical linear algebra, matrix computation, and large sparse matrices, this text will interest students at the advanced undergraduate or graduate level. This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.