Search
Feedback
About UniCat 
Help
News
| Listing 1 - 3 of 3 |
Sort by
|
Film
ISBN: 9781473979055 Year: 2013 Publisher: Texas, USA : Math Tutor DVD LLC.,
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
Jason Gibson explains the statistical concept of range. He provides example problems and explains how this concept would be useful.
Social sciences --- Statistics. --- Numerical range. --- Statistical methods.
ISBN: 038794835X 1461384982 9780387948355 Year: 1997 Publisher: New York (N.Y.): Springer
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
The theories of quadratic forms and their applications appear in many parts of mathematics and the sciences. All students of mathematics have the opportunity to encounter such concepts and applications in their first course in linear algebra. This subject and its extensions to infinite dimen sions comprise the theory of the numerical range W(T). There are two competing names for W(T), namely, the numerical range of T and the field of values for T. The former has been favored historically by the func tional analysis community, the latter by the matrix analysis community. It is a toss-up to decide which is preferable, and we have finally chosen the former because it is our habit, it is a more efficient expression, and because in recent conferences dedicated to W(T), even the linear algebra commu nity has adopted it. Also, one universally refers to the numerical radius, and not to the field of values radius. Originally, Toeplitz and Hausdorff called it the Wertvorrat of a bilinear form, so other good names would be value field or form values. The Russian community has referred to it as the Hausdorff domain. Murnaghan in his early paper first called it the region of the complex plane covered by those values for an n x n matrix T, then the range of values of a Hermitian matrix, then the field of values when he analyzed what he called the sought-for region.
Numerical range. --- 519.6 --- 681.3*G13 --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Computational mathematics. Numerical analysis. Computer programming --- Numerical range --- Field of values --- Range, Numerical --- Values, Field of --- Linear operators --- Mathematical analysis. --- Analysis (Mathematics). --- Analysis. --- 517.1 Mathematical analysis --- Mathematical analysis
Book
ISBN: 0691213100 Year: 2020 Publisher: Princeton, NJ : Princeton University Press,
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
Pure and applied mathematicians, physicists, scientists, and engineers use matrices and operators and their eigenvalues in quantum mechanics, fluid mechanics, structural analysis, acoustics, ecology, numerical analysis, and many other areas. However, in some applications the usual analysis based on eigenvalues fails. For example, eigenvalues are often ineffective for analyzing dynamical systems such as fluid flow, Markov chains, ecological models, and matrix iterations. That's where this book comes in. This is the authoritative work on nonnormal matrices and operators, written by the authorities who made them famous. Each of the sixty sections is written as a self-contained essay. Each document is a lavishly illustrated introductory survey of its topic, complete with beautiful numerical experiments and all the right references. The breadth of included topics and the numerous applications that provide links between fields will make this an essential reference in mathematics and related sciences.
Spectral theory (Mathematics) --- Eigenvalues. --- Differential operators. --- Spectrum analysis. --- Arnoldi iteration. --- EigTool. --- Fresnel number. --- Hilbert space. --- Jordan block. --- Lanczos iteration. --- MATLAB. --- Schur decomposition. --- Zworski, Maciej. --- adjoint operator. --- boundary conditions. --- circulant matrix. --- control theory. --- diagonalization. --- group velocity. --- invariant subspace. --- logarithmic norm. --- microlocal analysis. --- nonnormality. --- numerical range. --- phase velocity. --- pseudoeigenvector. --- quantum mechanics. --- semigroup. --- time scales. --- variable coefficients. --- vibration. --- wave packet.
| Listing 1 - 3 of 3 |
Sort by
|