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Numerical Mathematics: Systems of Linear Equations, Eigenvalue Problems, Non-Linear Equations (De Gruyter Textbook) - Hardcover
Synopsis
Numerical mathematics is one of the cornerstones of the study of mathematics, engineering, physics and computer science. This two-volume textbook is designed for introductory lectures and lays a solid foundation for further learning units. The first volume covers the entire field of numerical mathematics from classical techniques such as the Gaussian algorithm and Newton’s method to modern algorithms such as least squares approximation using Householder and Givens transformations and deflation techniques. The methods are described with mathematical precision, implemented in MATLAB codes and demonstrated using examples. The MATLAB codes are available for download on the publisher’s website so that readers can carry out their own experiments with the numerical methods.
Thanks to its didactic structure and the numerous illustrative examples and exercises, this book is ideal for reading alongside lectures and as a basis for successful self-study. At the same time, it can be used by mathematicians, scientists and engineers as a profound reference work.
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About the Author
Martin Hermann has been Professor of Numerical Mathematics at Friedrich Schiller University Jena (FSU) since 1991. He specialises in the numerical treatment of parameter-dependent non-linear differential equations. For many years, he has given the basic lecture ‘Numerical Mathematics’ for students of mathematics, business mathematics, physics, computer science and teaching as well as specialised lectures on selected areas of numerical mathematics. He is speaker of the Interdisciplinary Centre for Scientific Computing, curator of the Collegium Europaeum Jenense at the FSU Jena and a member of many national and international professional organisations.
"About this title" may belong to another edition of this title.
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Hardcover. Condition: new. Hardcover. Numerical mathematics is one of the cornerstones of the study of mathematics, engineering, physics and computer science. This two-volume textbook is designed for introductory lectures and lays a solid foundation for further learning units. The first volume covers the entire field of numerical mathematics from classical techniques such as the Gaussian algorithm and Newtons method to modern algorithms such as least squares approximation using Householder and Givens transformations and deflation techniques. The methods are described with mathematical precision, implemented in MATLAB codes and demonstrated using examples. The MATLAB codes are available for download on the publishers website so that readers can carry out their own experiments with the numerical methods. Thanks to its didactic structure and the numerous illustrative examples and exercises, this book is ideal for reading alongside lectures and as a basis for successful self-study. At the same time, it can be used by mathematicians, scientists and engineers as a profound reference work. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783119147668
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Numerical Mathematics: Systems of Linear Equations, Eigenvalue Problems, Non-Linear Equations (De Gruyter Textbook)
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Hardcover. Condition: new. Hardcover. Numerical mathematics is one of the cornerstones of the study of mathematics, engineering, physics and computer science. This two-volume textbook is designed for introductory lectures and lays a solid foundation for further learning units. The first volume covers the entire field of numerical mathematics from classical techniques such as the Gaussian algorithm and Newtons method to modern algorithms such as least squares approximation using Householder and Givens transformations and deflation techniques. The methods are described with mathematical precision, implemented in MATLAB codes and demonstrated using examples. The MATLAB codes are available for download on the publishers website so that readers can carry out their own experiments with the numerical methods. Thanks to its didactic structure and the numerous illustrative examples and exercises, this book is ideal for reading alongside lectures and as a basis for successful self-study. At the same time, it can be used by mathematicians, scientists and engineers as a profound reference work. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9783119147668
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Numerical Mathematics
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Buch. Condition: Neu. Neuware -Numerical mathematics is one of the cornerstones of the study of mathematics, engineering, physics and computer science. This two-volume textbook is designed for introductory lectures and lays a solid foundation for further learning units. The first volume covers the entire field of numerical mathematics from classical techniques such as the Gaussian algorithm and Newton's method to modern algorithms such as least squares approximation using Householder and Givens transformations and deflation techniques. The methods are described with mathematical precision, implemented in MATLAB codes and demonstrated using examples. The MATLAB codes are available for download on the publisher's website so that readers can carry out their own experiments with the numerical methods. Thanks to its didactic structure and the numerous illustrative examples and exercises, this book is ideal for reading alongside lectures and as a basis for successful self-study. At the same time, it can be used by mathematicians, scientists and engineers as a profound reference work. 370 pp. Englisch. Seller Inventory # 9783119147668
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Numerical Mathematics
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ISBN 10: 3119147664
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Buch. Condition: Neu. Neuware -Numerical mathematics is one of the cornerstones of the study of mathematics, engineering, physics and computer science. This two-volume textbook is designed for introductory lectures and lays a solid foundation for further learning units. The first volume covers the entire field of numerical mathematics from classical techniques such as the Gaussian algorithm and Newton's method to modern algorithms such as least squares approximation using Householder and Givens transformations and deflation techniques. The methods are described with mathematical precision, implemented in MATLAB codes and demonstrated using examples. The MATLAB codes are available for download on the publisher's website so that readers can carry out their own experiments with the numerical methods. Thanks to its didactic structure and the numerous illustrative examples and exercises, this book is ideal for reading alongside lectures and as a basis for successful self-study. At the same time, it can be used by mathematicians, scientists and engineers as a profound reference work. 370 pp. Englisch. Seller Inventory # 9783119147668
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Numerical Mathematics
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Condition: New. Martin Hermann has been Professor of Numerical Mathematics at Friedrich Schiller University Jena (FSU) since 1991. He specialises in the numerical treatment of parameter-dependent non-linear differential equations. For many years, he has given the basic . Seller Inventory # 3383640404
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Numerical Mathematics : Systems of Linear Equations, Eigenvalue Problems, Non-Linear Equations
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ISBN 10: 3119147664
ISBN 13: 9783119147668
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Buch. Condition: Neu. Neuware - Numerical mathematics is one of the cornerstones of the study of mathematics, engineering, physics and computer science. This two-volume textbook is designed for introductory lectures and lays a solid foundation for further learning units. The first volume covers the entire field of numerical mathematics from classical techniques such as the Gaussian algorithm and Newton's method to modern algorithms such as least squares approximation using Householder and Givens transformations and deflation techniques. The methods are described with mathematical precision, implemented in MATLAB codes and demonstrated using examples. The MATLAB codes are available for download on the publisher's website so that readers can carry out their own experiments with the numerical methods. Thanks to its didactic structure and the numerous illustrative examples and exercises, this book is ideal for reading alongside lectures and as a basis for successful self-study. At the same time, it can be used by mathematicians, scientists and engineers as a profound reference work. Seller Inventory # 9783119147668
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