Interval Methods for Systems of Equations (Encyclopedia of Mathematics and its Applications, Series Number 37) (Volume 0)
Language: English
Published by Cambridge University Press, 2008
Series: Book 23 of 188 - Encyclopedia of Mathematics and its Applications
- Softcover
- New

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- Title
- Interval Methods for Systems of Equations (Encyclopedia of Mathematics and its Applications, Series Number 37) (Volume 0)
- Author
- Neumaier, A.
- Publisher
- Cambridge University Press
- Publication year
- 2008
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0521102146
- ISBN 13
- 9780521102148
- Series
- Book 23 of 188: Encyclopedia of Mathematics and its Applications
An interval is a natural way of specifying a number that is specified only within certain tolerances. Interval analysis consists of the tools and methods needed to solve linear and nonlinear systems of equations in the presence of data uncertainties. Applications include the sensitivity analysis of solutions of equations depending on parameters, the solution of global nonlinear problems, and the verification of results obtained by finite-precision arithmetic. In this book emphasis is laid on those aspects of the theory which are useful in actual computations. On the other hand, the theory is developed with full mathematical rigour. In order to keep the book self-contained, various results from linear algebra (Perron-Frobenius theory, M- and H- matrices) and analysis (existence of solutions to nonlinear systems) are proved, often from a novel and more general viewpoint. An extensive bibliography is included.
"Synopsis" may belong to another edition of this title.
Book Description
An interval is a natural way of specifying a number that is specified only within certain tolerances. Interval analysis consists of the tools and methods needed to solve linear and nonlinear systems of equations in the presence of data uncertainties. Applications include the sensitivity analysis of solutions of equations depending on parameters, the solution of global nonlinear problems, and the verification of results obtained by finite-precision arithmetic.
"About the title" may belong to another edition of this title.
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