Minggu, 23 Maret 2014

[Y569.Ebook] Download Scientific Computing with Ordinary Differential Equations (Texts in Applied Mathematics), by Peter Deuflhard, Folkmar Bornemann

Download Scientific Computing with Ordinary Differential Equations (Texts in Applied Mathematics), by Peter Deuflhard, Folkmar Bornemann

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Scientific Computing with Ordinary Differential Equations (Texts in Applied Mathematics), by Peter Deuflhard, Folkmar Bornemann

Scientific Computing with Ordinary Differential Equations (Texts in Applied Mathematics), by Peter Deuflhard, Folkmar Bornemann



Scientific Computing with Ordinary Differential Equations (Texts in Applied Mathematics), by Peter Deuflhard, Folkmar Bornemann

Download Scientific Computing with Ordinary Differential Equations (Texts in Applied Mathematics), by Peter Deuflhard, Folkmar Bornemann

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Scientific Computing with Ordinary Differential Equations (Texts in Applied Mathematics), by Peter Deuflhard, Folkmar Bornemann

Well-known authors; Includes topics and results that have previously not been covered in a book; Uses many interesting examples from science and engineering; Contains numerous homework exercises; Scientific computing is a hot and topical area

  • Sales Rank: #3796513 in Books
  • Brand: Brand: Springer
  • Published on: 2002-07-09
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.21" h x 1.19" w x 6.14" l, 1.82 pounds
  • Binding: Hardcover
  • 486 pages
Features
  • Used Book in Good Condition

Review

P. Deuflhard and F. Bornemann

Scientific Computing with Ordinary Differential Equations

"Provides a sound fundamental introduction to the mathematical and numerical aspects of discretization methods for solving initial value problems in ordinary differential equations . . . This book would make an interesting (non-conventional) textbook for a graduate course in numerical analysis of ODEs. It is written at a level which is accessible to such an audience, covers a wide variety of topics, both classical and modern, and contains a generous supply of homework exercises. In summary, this is an excellent and timely book."―MATHEMATICAL REVIEWS

"As indicated by the title, this is not a treatise merely on the numerical analysis of ordinary differential equations (ODEs). … the reader is made acquainted with nontrivial examples of ODEs arising in diverse areas and with intrinsic properties of these equations. … The consideration of all the various components … makes for a very informative reading which is further aided by the undogmatic style of presentation. The volume can be recommended to newcomers, but also to instructors in this area." (H. Muthsam, Monatshefte für Mathematik, Vol. 143 (1), 2004)

From the Back Cover
This text provides an introduction to the numerical solution of initial and boundary value problems in ordinary differential equations on a firm theoretical basis. This book strictly presents numerical analysis as a part of the more general field of scientific computing. Important algorithmic concepts are explained down to questions of software implementation. For initial value problems, a dynamical systems approach is used to develop Runge-Kutta, extrapolation, and multistep methods. For boundary value problems including optimal control problems, both multiple shooting and collocation methods are worked out in detail.
Graduate students and researchers in mathematics, computer science, and engineering will find this book useful. Chapter summaries, detailed illustrations, and exercises are contained throughout the book with many interesting applications taken from a rich variety of areas.
Peter Deuflhard is founder and president of the Zuse Institute Berlin (ZIB) and full professor of scientific computing at the Free University of Berlin, Department of Mathematics and Computer Science.
Folkmar Bornemann is full professor of scientific computing at the Center of Mathematical Sciences, Technical University of Munich.
This book was translated by Werner Rheinboldt, professor emeritus of numerical analysis and scientific computing at the Department of Mathematics, University of Pittsburgh.

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