Numerical Analysis for Applied Science (eBook)
John Wiley & Sons (Verlag)
9781119245667 (ISBN)
Pragmatic and Adaptable Textbook Meets the Needs of Students and Instructors from Diverse Fields
Numerical analysis is a core subject in data science and an essential tool for applied mathematicians, engineers, and physical and biological scientists. This updated and expanded edition of Numerical Analysis for Applied Science follows the tradition of its precursor by providing a modern, flexible approach to the theory and practical applications of the field. As before, the authors emphasize the motivation, construction, and practical considerations before presenting rigorous theoretical analysis. This approach allows instructors to adapt the textbook to a spectrum of uses, ranging from one-semester, methods-oriented courses to multi-semester theoretical courses.
The book includes an expanded first chapter reviewing useful tools from analysis and linear algebra. Subsequent chapters include clearly structured expositions covering the motivation, practical considerations, and theory for each class of methods. The book includes over 250 problems exploring practical and theoretical questions and 32 pseudocodes to help students implement the methods. Other notable features include:
- A preface providing advice for instructors on using the text for a single semester course or multiple-semester sequence of courses
- Discussion of topics covered infrequently by other texts at this level, such as multidimensional interpolation, quasi-Newton methods in several variables, multigrid methods, preconditioned conjugate-gradient methods, finite-difference methods for partial differential equations, and an introduction to finite-element theory
- New topics and expanded treatment of existing topics to address developments in the field since publication of the first edition
- More than twice as many computational and theoretical exercises as the first edition.
Numerical Analysis for Applied Science, Second Edition provides an excellent foundation for graduate and advanced undergraduate courses in numerical methods and numerical analysis. It is also an accessible introduction to the subject for students pursuing independent study in applied mathematics, engineering, and the physical and life sciences and a valuable reference for professionals in these areas.
Myron B. Allen III, PhD, is Professor of Mathematics in the Department of Mathematics and Statistics at the University of Wyoming, Laramie, USA. His research focuses on the numerical analysis of fluid flows in porous media.
The Late Eli L. Isaacson, PhD, was Professor Emeritus of Mathematics in the Department of Mathematics at the University of Wyoming, Laramie, USA. His work includes analytic and numerical methods for solving systems of hyperbolic conservation laws, including front-tracking methods.
Pragmatic and Adaptable Textbook Meets the Needs of Students and Instructors from Diverse Fields Numerical analysis is a core subject in data science and an essential tool for applied mathematicians, engineers, and physical and biological scientists. This updated and expanded edition of Numerical Analysis for Applied Science follows the tradition of its precursor by providing a modern, flexible approach to the theory and practical applications of the field. As before, the authors emphasize the motivation, construction, and practical considerations before presenting rigorous theoretical analysis. This approach allows instructors to adapt the textbook to a spectrum of uses, ranging from one-semester, methods-oriented courses to multi-semester theoretical courses. The book includes an expanded first chapter reviewing useful tools from analysis and linear algebra. Subsequent chapters include clearly structured expositions covering the motivation, practical considerations, and theory for each class of methods. The book includes over 250 problems exploring practical and theoretical questions and 32 pseudocodes to help students implement the methods. Other notable features include: A preface providing advice for instructors on using the text for a single semester course or multiple-semester sequence of courses Discussion of topics covered infrequently by other texts at this level, such as multidimensional interpolation, quasi-Newton methods in several variables, multigrid methods, preconditioned conjugate-gradient methods, finite-difference methods for partial differential equations, and an introduction to finite-element theory New topics and expanded treatment of existing topics to address developments in the field since publication of the first edition More than twice as many computational and theoretical exercises as the first edition. Numerical Analysis for Applied Science, Second Edition provides an excellent foundation for graduate and advanced undergraduate courses in numerical methods and numerical analysis. It is also an accessible introduction to the subject for students pursuing independent study in applied mathematics, engineering, and the physical and life sciences and a valuable reference for professionals in these areas.
Myron B. Allen III, PhD, is Professor of Mathematics in the Department of Mathematics and Statistics at the University of Wyoming, Laramie, USA. His research focuses on the numerical analysis of fluid flows in porous media. The Late Eli L. Isaacson, PhD, was Professor Emeritus of Mathematics in the Department of Mathematics at the University of Wyoming, Laramie, USA. His work includes analytic and numerical methods for solving systems of hyperbolic conservation laws, including front-tracking methods.
| Erscheint lt. Verlag | 5.4.2019 |
|---|---|
| Reihe/Serie | Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts |
| Wiley Series in Pure and Applied Mathematics | Wiley Series in Pure and Applied Mathematics |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | advanced mathematics • Applied mathematics • Applied Mathematics in Science • Applied Science • band matrices • basic convergence arguments • bounded sets • Calculus • computer modeling • conjugate gradient methods • Differential Equations • eigenvalues • Eigenvectors • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Engineering • error estimates • experiment design • Finite Element Methods • Gauss elimination • graduate mathematics • Hermite interpolation • iterative methods • least squares method • Life Sciences • linear systems • <p>Numerical analysis • Mathematics • mathematics in engineering • Mathematics In Life Sciences • Mathematik • Mathematik in den Naturwissenschaften • matrices • matrix splitting techniques • multidimensional interpolations • Multigrid Method • Newton methods • Nonlinear Equations • normed vector spaces • norm equivalence • Numerical Integration • numerical integration</p> • Numerical Methods • Numerical Methods & Algorithms • numerische Methoden • Numerische Methoden u. Algorithmen • Ordinary differential equations • Physical Sciences • Polynomial Interpolation • QR method • Splines • Statistics • successive overrelaxation • successive substitution • Taylor theorem • theory of mathematics • Trigonometry • two dimension interpolation |
| ISBN-13 | 9781119245667 / 9781119245667 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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