This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, solving nonlinear equations, and the approximate solution of ordinary differential equations.
It consists of three parts:
• Systems of linear equations, eigenvalue problems and optimisation
• Interpolation, quadrature and nonlinear equations
• Initial value problems and Hamiltonian systems
Each of these parts is divided into nine short chapters and corresponds approximately to the scope of a two-hour lecture over one semester. Basic knowledge of linear algebra and analysis as well as elementary programming experience are assumed. Results of analysis are only used in the second and third part of the book. Learning objectives, self-assessment tests and exemplary applications at the end of each chapter are intended to deepen the understanding of the presented material. The last chapters of the book contain extensive collections of exercises, detailed descriptions for programming projects, introductions to the programming languages MATLAB, C++ and Python, compilations of the most important results from linear algebra and analysis, some example programs, a list of further topics as well as detailed literature references. The book is aimed at undergraduate students of mathematics as well as engineering and natural sciences.
The translation of this book was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
"synopsis" may belong to another edition of this title.
Sören Bartels is Professor of Applied Mathematics at the Albert-Ludwigs Universität in Freiburg, Germany. His primary research interest is in the development and analysis of approximation schemes for nonlinear partial differential equations with applications in the simulation of modern materials. Professor Bartels has published the Springer textbook “Numerical approximation of partial differential equations” and the monograph “Numerical methods for nonlinear partial differential equations” in the Springer Series in Computational Mathematics.
Numerical Mathematics 3x9
This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, solving nonlinear equations, and the approximate solution of ordinary differential equations.
It consists of three parts:
• Systems of linear equations, eigenvalue problems and optimisation
• Interpolation, quadrature and nonlinear equations
• Initial value problems and Hamiltonian systems
Each of these parts is divided into nine short chapters and corresponds approximately to the scope of a two-hour lecture over one semester. Basic knowledge of linear algebra and analysis as well as elementary programming experience are assumed. Results of analysis are only used in the second and third part of the book. Learning objectives, self-assessment tests and exemplary applications at the end of each chapter are intended to deepen the understanding of the presented material. The last chapters of the book contain extensive collections of exercises, detailed descriptions for programming projects, introductions to the programming languages MATLAB, C++ and Python, compilations of the most important results from linear algebra and analysis, some example programs, a list of further topics as well as detailed literature references. The book is aimed at undergraduate students of mathematics as well as engineering and natural sciences.
The Author
Sören Bartels is Professor of Applied Mathematics at the Albert-Ludwigs Universität in Freiburg, Germany. His primary research interest is in the development and analysis of approximation schemes for nonlinear partial differential equations with applications in the simulation of modern materials. Professor Bartels has published the Springer textbook “Numerical approximation of partial differential equations” and the monograph “Numerical methods for nonlinear partial differential equations” in the Springer Series in Computational Mathematics.
The translation of this book was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
"About this title" may belong to another edition of this title.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, solving nonlinear equations, and the approximate solution of ordinary differential equations.It consists of three parts: Systems of linear equations, eigenvalue problems and optimisation Interpolation, quadrature and nonlinear equations Initial value problems and Hamiltonian systemsEach of these parts is divided into nine short chapters and corresponds approximately to the scope of a two-hour lecture over one semester. Basic knowledge of linear algebra and analysis as well as elementary programming experience are assumed. Results of analysis are only used in the second and third part of the book. Learning objectives, self-assessment tests and exemplary applications at the end of each chapter are intended to deepen the understanding of the presented material. The last chapters of the book contain extensive collections of exercises, detailed descriptions for programming projects, introductions to the programming languages MATLAB, C++ and Python, compilations of the most important results from linear algebra and analysis, some example programs, a list of further topics as well as detailed literature references. The book is aimed at undergraduate students of mathematics as well as engineering and natural sciences.The translation of this book was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. 412 pp. Englisch. Seller Inventory # 9783662708897
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, solving nonlinear equations, and the approximate solution of ordinary differential equations.It consists of three parts: Systems of linear equations, eigenvalue problems and optimisation Interpolation, quadrature and nonlinear equations Initial value problems and Hamiltonian systemsEach of these parts is divided into nine short chapters and corresponds approximately to the scope of a two-hour lecture over one semester. Basic knowledge of linear algebra and analysis as well as elementary programming experience are assumed. Results of analysis are only used in the second and third part of the book. Learning objectives, self-assessment tests and exemplary applications at the end of each chapter are intended to deepen the understanding of the presented material. The last chapters of the book contain extensive collections of exercises, detailed descriptions for programming projects, introductions to the programming languages MATLAB, C++ and Python, compilations of the most important results from linear algebra and analysis, some example programs, a list of further topics as well as detailed literature references. The book is aimed at undergraduate students of mathematics as well as engineering and natural sciences.The translation of this book was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 412 pp. Englisch. Seller Inventory # 9783662708897
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Taschenbuch. Condition: Neu. Numerical Mathematics 3x9 | Three subject areas in 27 short chapters | Sören Bartels | Taschenbuch | UNITEXT | xxxiii | Englisch | 2025 | Springer | EAN 9783662708897 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 133340777
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, solving nonlinear equations, and the approximate solution of ordinary differential equations.It consists of three parts: Systems of linear equations, eigenvalue problems and optimisation Interpolation, quadrature and nonlinear equations Initial value problems and Hamiltonian systemsEach of these parts is divided into nine short chapters and corresponds approximately to the scope of a two-hour lecture over one semester. Basic knowledge of linear algebra and analysis as well as elementary programming experience are assumed. Results of analysis are only used in the second and third part of the book. Learning objectives, self-assessment tests and exemplary applications at the end of each chapter are intended to deepen the understanding of the presented material. The last chapters of the book contain extensive collections of exercises, detailed descriptions for programming projects, introductions to the programming languages MATLAB, C++ and Python, compilations of the most important results from linear algebra and analysis, some example programs, a list of further topics as well as detailed literature references. The book is aimed at undergraduate students of mathematics as well as engineering and natural sciences.The translation of this book was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. Seller Inventory # 9783662708897