Numerical Methods for General and Structured Eigenvalue Problems: 46 (Lecture Notes in Computational Science and Engineering, 46) - Image 1

£81.17

Springer Numerical Methods for General and Structured Eigenvalue Problems: 46 (Lecture Notes in Computational Science and Engineering, 46)

Name: Numerical Methods for General and Structured Eigenvalue Problems: 46 (Lecture Notes in Computational Science and Engineering, 46)
Brand: Springer
Price: 81.17 GBP
Availability: InStock

Computer Science

This is the most expensive it has ever been. Walk away.

£81 today · previous high £81 · all-time low £73

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 32 days · 32 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 32 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £73 (31 days, 96.9%)

Price range: £73 - £81

Price levels: 2 different prices over 32 days

Description

The purpose of this book is to describe recent developments in solving eig- value problems, in particular with respect to the QR and QZ algorithms as well as structured matrices. Outline Mathematically speaking, the eigenvalues of a square matrix A are the roots of its characteristic polynomial det(A??I). An invariant subspace is a linear subspace that stays invariant under the action of A. In realistic applications, it usually takes a long process of simpli?cations, linearizations and discreti- tions before one comes up with the problem of computing the eigenvalues of a matrix. In some cases, the eigenvalues have an intrinsic meaning, e.g., for the expected long-time behavior of a dynamical system; in others they are just meaningless intermediate values of a computational method. The same applies to invariant subspaces, which for example can describe sets of initial states for which a dynamical system produces exponentially decaying states. Computing eigenvalues has a long history, dating back to at least 1846 when Jacobi [172] wrote his famous paper on solving symmetric eigenvalue problems. Detailed historical accounts of this subject can be found in two papers by Golub and van der Vorst [140, 327].

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3540245464
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 15 July 2005
Listed Since: 10 December 2006

Barcode

No barcode data available

Springer Numerical Methods for General and Structured Eigenvalue Problems: 46 (Lecture Notes in Computational Science and Engineering, 46)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Springer Eigenvalue Problems: Algorithms and Petascale Computing

The Matrix Eigenvalue Problem: GR and Krylov Subspace Methods

Eigenvalues, Multiplicities and Graphs: 211 (Cambridge Tracts in Mathematics, Series Number 211)

Partially Specified Matrices and Operators: Classification, Completion, Applications: 79 (Operator Theory: Advances and Applications, 79)

High-Precision Methods in Eigenvalue Problems and Their Applications: 6 (Differential and Integral Equations and Their Applications)

The Symmetric Eigenvalue Problem: Series Number 20 (Classics in Applied Mathematics, Series Number 20)

The Algebraic Eigenvalue Problem (Numerical Mathematics and Scientific Computation)

Spectra and Pseudospectra: The Behavior of Nonnormal Matrices and Operators

The Bispectral Problem (CRM Proceedings & Lecture Notes)

Spectral Computations for Bounded Operators: 18 (Applied Mathematics)

Linear Algebra: A Minimal Polynomial Approach to Eigen Theory (De Gruyter Textbook)

Multiparameter Eigenvalue Problems: Sturm-Liouville Theory

The Lanczos and Conjugate Gradient Algorithms: From Theory to Finite Precision Computations: 19 (Software, Environments and Tools, Series Number 19)

Extremum Problems for Eigenvalues of Elliptic Operators (Frontiers in Mathematics)

Eigenspaces of Graphs (Encyclopedia of Mathematics and Its Applications): 66 (Encyclopedia of Mathematics and its Applications, Series Number 66)

Inequalities for Graph Eigenvalues: 423 (London Mathematical Society Lecture Note Series, Series Number 423)

Linear Algebra I: Basic Concepts: 0 (Utokyo Engineering Course/ Basic Mathematics)

Linear Algebra - Linear Systems and Eigenvalues (Volume 3) (Numerical Analysis 2000, Volume 3)

Guaranteed Accuracy in Numerical Linear Algebra: 252 (Mathematics and Its Applications, 252)

Linear Algebra Done Right (Undergraduate Texts in Mathematics)

Linear Algebra: Algorithms, Applications, and Techniques

Finite Element Methods for Eigenvalue Problems (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

SYMMETRY-ADAPTED BASIS SETS: AUTOMATIC GENERATION FOR PROBLEMS IN CHEMISTRY AND PHYSICS

Max-linear Systems: Theory and Algorithms (Springer Monographs in Mathematics)