Cantitate/Preț
Produs

Numerical Analysis: Graduate Texts in Mathematics, cartea 181

Autor Rainer Kress
en Limba Engleză Hardback – 17 apr 1998
No applied mathematician can be properly trained without some basic un­ derstanding ofnumerical methods, Le., numerical analysis. And no scientist and engineer should be using a package program for numerical computa­ tions without understanding the program's purpose and its limitations. This book is an attempt to provide some of the required knowledge and understanding. It is written in a spirit that considers numerical analysis not merely as a tool for solving applied problems but also as a challenging and rewarding part of mathematics. The main goal is to provide insight into numerical analysis rather than merely to provide numerical recipes. The book evolved from the courses on numerical analysis I have taught since 1971 at the University ofGottingen and may be viewed as a successor of an earlier version jointly written with Bruno Brosowski [10] in 1974. It aims at presenting the basic ideas of numerical analysis in a style as concise as possible. Its volume is scaled to a one-yearcourse, i.e., a two-semester course, addressing second-yearstudents at a German university or advanced undergraduate or first-year graduate students at an American university.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 47646 lei  6-8 săpt.
  Springer – 27 sep 2012 47646 lei  6-8 săpt.
Hardback (1) 51846 lei  6-8 săpt.
  Springer – 17 apr 1998 51846 lei  6-8 săpt.

Din seria Graduate Texts in Mathematics

Preț: 51846 lei

Preț vechi: 60996 lei
-15% Nou

Puncte Express: 778

Preț estimativ în valută:
9922 10435$ 8265£

Carte tipărită la comandă

Livrare economică 03-17 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780387984087
ISBN-10: 0387984089
Pagini: 326
Ilustrații: XII, 326 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.59 kg
Ediția:1998
Editura: Springer
Colecția Springer
Seria Graduate Texts in Mathematics

Locul publicării:New York, NY, United States

Public țintă

Lower undergraduate

Cuprins

1 Introduction.- 2 Linear Systems.- 2.1 Examples for Systems of Equations.- 2.2 Gaussian Elimination.- 2.3 LR Decomposition.- 2.4 QR Decomposition.- Problems.- 3 Basic Functional Analysis.- 3.1 Normed Spaces.- 3.2 Scalar Products.- 3.3 Bounded Linear Operators.- 3.4 Matrix Norms.- 3.5 Completeness.- 3.6 The Banach Fixed Point Theorem.- 3.7 Best Approximation.- Problems.- 4 Iterative Methods for Linear Systems.- 4.1 Jacobi and Gauss—Seidel Iterations.- 4.2 Relaxation Methods.- 4.3 Two-Grid Methods.- Problems.- 5 Ill-Conditioned Linear Systems.- 5.1 Condition Number.- 5.2 Singular Value Decomposition.- 5.3 Tikhonov Regularization.- Problems.- 6 Iterative Methods for Nonlinear Systems.- 6.1 Successive Approximations.- 6.2 Newton’s Method.- 6.3 Zeros of Polynomials.- 6.4 Least Squares Problems.- Problems.- 7 Matrix Eigenvalue Problems.- 7.1 Examples.- 7.2 Estimates for the Eigenvalues.- 7.3 The Jacobi Method.- 7.4 The QR Algorithm.- 7.5 Hessenberg Matrices.- Problems.- 8 Interpolation.- 8.1 Polynomial Interpolation.- 8.2 Trigonometric Interpolation.- 8.3 Spline Interpolation.- 8.4 Bézier Polynomials.- Problems.- 9 Numerical Integration.- 9.1 Interpolatory Quadratures.- 9.2 Convergence of Quadrature Formulae.- 9.3 Gaussian Quadrature Formulae.- 9.4 Quadrature of Periodic Functions.- 9.5 Romberg Integration.- 9.6 Improper Integrals.- Problems.- 10 Initial Value Problems.- 10.1 The Picard—Lindelöf Theorem.- 10.2 Euler’s Method.- 10.3 Single-Step Methods.- 10.4 Multistep Methods.- Problems.- 11 Boundary Value Problems.- 11.1 Shooting Methods.- 11.2 Finite Difference Methods.- 11.3 The Riesz and Lax-Milgram Theorems.- 11.4 Weak Solutions.- 11.5 The Finite Element Method.- Problems.- 12 Integral Equations.- 12.1 The Riesz Theory.- 12.2 Operator Approximations.- 12.3 Nyström’s Method.- 12.4 The Collocation Method.- 12.5 Stability.- Problems.- References.

Caracteristici

Good introduction to an area experiencing rapid development for those in math, physics, and engineering. Gives a solid foundation by restricting the presentation to the basic principles and procedures, as well as the primary numerical algorithms. Includes the necessary functional analytic framework for a solid mathematical foundation in the subject. Gives particular emphasis to the question of stability. Presented in a concise and easily understandable fashion.