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Titlebook: A Graduate Introduction to Numerical Methods; From the Viewpoint o Robert M. Corless,Nicolas Fillion Textbook 2013 Springer Science+Busines

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發(fā)表于 2025-3-21 16:52:56 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱A Graduate Introduction to Numerical Methods
期刊簡稱From the Viewpoint o
影響因子2023Robert M. Corless,Nicolas Fillion
視頻videohttp://file.papertrans.cn/141/140908/140908.mp4
發(fā)行地址Provides consistent development of formulae using barycentric interpolation.Independence of chapters allowing for greater teaching flexibility.Integration with Matlab and Maple, many algorithms presen
圖書封面Titlebook: A Graduate Introduction to Numerical Methods; From the Viewpoint o Robert M. Corless,Nicolas Fillion Textbook 2013 Springer Science+Busines
影響因子.This book provides an extensive introduction to numerical computing from the viewpoint of backward error analysis. The intended audience includes students and researchers in science, engineering and mathematics. The approach taken is somewhat informal owing to the wide variety of backgrounds of the readers, but the central ideas of backward error and sensitivity (conditioning) are systematically emphasized. The book is divided into four parts: Part I provides the background preliminaries including floating-point arithmetic, polynomials and computer evaluation of functions; Part II covers numerical linear algebra; Part III covers interpolation, the FFT and quadrature; and Part IV covers numerical solutions of differential equations including initial-value problems, boundary-value problems, delay differential equations and a brief chapter on partial differential equations..The book contains detailed illustrations, chapter summaries and a variety of exercises as well some Matlab codes provided online as supplementary material..“I really like the focus on backward error analysis and condition. This is novel in a textbook and a practical approach that will bring welcome attention." Law
Pindex Textbook 2013
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10 Hauptidealringe und faktorielle Ringe, reduce other problems to these simple cases. We show that these methods are .; that is, they exactly solve a slightly perturbed problem. In order to understand how these small perturbations affect the solution, we then introduce the crucial notion of . in relation to the most important factoring, n
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https://doi.org/10.1007/978-3-642-80634-6of a function, and . are especially attractive. We study the ., including some . for differentiation of polynomials. We look at . for derivatives of polynomials expressed in a Lagrange or Hermite interpolational basis. We look at . before taking derivatives, and briefly touch on .. ?
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Christian Karpfinger,Kurt Meyberg a finite set of points. The influence of . propagates forward in time as the solution progresses. As is the case with ODE, however, a good numerical solution gives the exact solution to a nearby problem. The same technique as used in previous chapters, namely, computing the ., works here as well to
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發(fā)表于 2025-3-23 05:04:35 | 只看該作者
https://doi.org/10.1007/978-1-4614-8453-0Algorithms; Backward Error Analysis; Barycentric interpolation formulae; Boundary Value Problems; Condit
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978-1-4939-5310-3Springer Science+Business Media New York 2013
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