Computational Linear Algebra: with Applications and MATLAB� Computations

Robert E. White

ISBN 10: 1032302461 ISBN 13: 9781032302461

Verlag: Taylor & Francis Ltd, 2023

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2023. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland. Bestandsnummer des Verk�ufers V9781032302461

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Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus.

�ber die Autorin bzw. den Autor:

Robert E. White is Professor Emeritus, North Carolina State University. He is also the author of Computational Mathematics: Models, Methods, Analysis with MATLAB� and MPI, second edition and Elements of Matrix Modeling and Computing with MATLAB�, both published by CRC Press.

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Titel: Computational Linear Algebra: with ...
Verlag: Taylor & Francis Ltd
Erscheinungsdatum: 2023
Einband: Hardcover
Zustand: New

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Computational Linear Algebra (Textbooks in Mathematics)

White, Robert E.

Verlag: Chapman and Hall/CRC, 2023

ISBN 10: 1032302461 ISBN 13: 9781032302461

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Computational Linear Algebra : With Applications and Matlab Computations

White, Robert E.

Verlag: Chapman and Hall/CRC, 2023

ISBN 10: 1032302461 ISBN 13: 9781032302461

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Computational Linear Algebra

Robert E. White (North Carolina State University, Raleigh, USA)

Verlag: CRC Press, 2023

ISBN 10: 1032302461 ISBN 13: 9781032302461

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Computational Linear Algebra : With Applications and Matlab Computations

White, Robert E.

Verlag: Chapman and Hall/CRC, 2023

ISBN 10: 1032302461 ISBN 13: 9781032302461

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Computational Linear Algebra (Hardcover)

Robert E. White

Verlag: Taylor & Francis Ltd, London, 2023

ISBN 10: 1032302461 ISBN 13: 9781032302461

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Hardcover. Zustand: new. Hardcover. Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. A second goal of this text is to demonstrate the intimate relationship of linear algebra to applications/computations.A rigorous presentation has been maintained. A third reason for writing this text is to present, in the first half of the course, the very important topic on singular value decomposition, SVD. This is done by first restricting consideration to real matrices and vector spaces. The general inner product vector spaces are considered starting in the middle of the text.The text has a number of applications. These are to motivate the student to study the linear algebra topics. Also, the text has a number of computations. MATLAB is used, but one could modify these codes to other programming languages. These are either to simplify some linear algebra computation, or to model a particular application. Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verk�ufers 9781032302461

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Computational Linear Algebra (Hardcover)

Robert E. White

Verlag: Taylor & Francis Ltd, London, 2023

ISBN 10: 1032302461 ISBN 13: 9781032302461

Neu Hardcover

Print-on-Demand

Anbieter: Grand Eagle Retail, Bensenville, IL, USA

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Hardcover. Zustand: new. Hardcover. Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. A second goal of this text is to demonstrate the intimate relationship of linear algebra to applications/computations.A rigorous presentation has been maintained. A third reason for writing this text is to present, in the first half of the course, the very important topic on singular value decomposition, SVD. This is done by first restricting consideration to real matrices and vector spaces. The general inner product vector spaces are considered starting in the middle of the text.The text has a number of applications. These are to motivate the student to study the linear algebra topics. Also, the text has a number of computations. MATLAB is used, but one could modify these codes to other programming languages. These are either to simplify some linear algebra computation, or to model a particular application. Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9781032302461

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