inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions the theoretic issue on solvability and the practical issue on computability both questions are difficult and challenging in this text the authors discuss the fundamental questions some known results many applications mathematical

moody chu is currently an editor of the siam journal on matrix analysis and applications he is a dedicated educators and has won outstanding teaching awards gene golub has been and continues to be the editor of several important journals numerische mathematik linear algebra and its applications acta numerica etc in the field

moody chu and gene golub abstract the basic goal of an inverse eigenvalue problem is to reconstruct the physical parameters of a certain system from the knowledge or desire of its dynamical behavior

the item inverse eigenvalue problems theory algorithms and applications moody t chu and gene h golub represents a specific individual material embodiment of a distinct intellectual or artistic creation found in brigham young university this item is available to borrow from 1 library branch

structured inverse eigenvalue problems volume 11 moody t chu gene h golub skip to main content we use cookies to distinguish you from other users and to provide you with a better experience on our websites

2 moody t chu and gene h golub contents 1 introduction 2 2 applications 5 3 nomenclature 16 4 jacobi inverse eigenvalue problems 19 5 toeplitz inverse eigenvalue problems 31 6 nonnegative inverse eigenvalue problems 38 7 stochastic inverse eigenvalue problems 41 8 unitary hessenberg inverse eigenvalue problems 45

the feasibility conditions for a physical system often mandate specific structural stipulations on the inverse problems this chapter focuses on eight selected structures jacobi matrices toeplitz matrices nonnegative matrices stochastic matrices unitary matrices matrices with prescribed entries matrices with prescribed singular values and matrices with prescribed singular values and

citeseerx document details isaac councill lee giles pradeep teregowda this paper more should be said about these constraints in order to define an iep first we recall one condition under which two geometric entities intersect transversally loosely speaking we may assume that the structural constraint and the spectral constraint define respectively smooth manifolds in the space of

inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions the theoretical issue of solvability and the practical issue of computability both questions are difficult and challenging

moody ten chao chu o ce department of mathematics inverse eigenvalue problems low rank approximation numerical algorithms as dynamical systems invited speaker gene golub memorial conference dartmouth massachusetts february 2008 invited paper acta numerica 2008

citeseerx document details isaac councill lee giles pradeep teregowda an inverse eigenvalue problem concerns the reconstruction of a structured matrix from prescribed spectral data such an inverse problem arises in many applications where parameters of a certain physical system are to be deter mined from the knowledge or expectation of its dynamical behaviour

moody t chu gene h golub abstract inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions the theoretical issue of solvability and the practical issue of computability

inverse eigenvalue problems theory algorithms and applications moody t chu north carolina state university gene h golub stanford university oxpord university press contents list of acronyms list of figures 4 7 inverse eigenvalue problems with prescribed entries

inverse eigenvalue problems theory algorithms and applications by moody t chu amp gene h golub oxford university press 2005 387 pp isbn 19 856664 6 60 00 volume 556 nicolas j

作者 chu moody t golub gene h inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions the theoretic issue on solvability and the practical issue on computability both questions are

matrix inverse eigenvalue problems moody t chu gene h golub the basic goal of an inverse eigenvalue problem is to reconstruct the physical parameters of a certain system from the

translations of these two books into german appeared in 1995 and 1996 then in 2005 jointly with moody t chu golub published inverse eigenvalue problems theory algorithms and applications the list of honours golub received for his outstanding contributions is too long to list here

moody ten chao chu gene h golub quot the basic goal of inverse eigenvalue problems is to reconstruct the physical parameters for a certain system from the knowledge or characteristics of its dynamical behaviour and such your web browser is not enabled for javascript some features of worldcat will not be available

a review of recent literature on inverse eigenvalue problems related exclusively to small vibrations of mechanical system can be found in 94 and is then updated in 97 an early survey of direct methods for solving certain symmetric inverse eigenvalue problems was given by boley and golub 27 algorithms of iterative nature for more

ability of these three problems people have been study ing them in the recent 70 years refer to the references the achievements people have got and their limitations and practical application depict were evaluated in schol arly treatise 7 moody t chu gene h golub inverse eigenvalue problems theory algorithms and applica

on inverse quadratic eigenvalue problems with partially prescribed eigenstructure mt chu yc kuo ww lin siam journal on matrix analysis and applications 25 4 995 1020 2004

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596 d boley and g h golub problems considered here are of a highly structured form and as a consequence we are able to construct algorithms to solve these problems in afinite number of steps general matrix inverse eigenvalue problems have recently been considered in friedland et a1 1987 and the algorithms for such problems are of an iterative nature

inverse eigenvalue problems theory algorithms and applications moody t chu north carolina state university gene h golub stanford university oxford university press contents list of acronyms xiv list of figures xv list of tables xvii 1 introduction 1

gene h golub is the author of matrix computations 4 26 avg rating 118 ratings 2 reviews published 1983 matrices moments and quadrature with appli

abstract a collection of inverse eigenvalue problems are identi ed and classi ed according to their characteristics current developments in both the theoretic and the algorithmic aspects are summarized and reviewed in this paper this exposition also reveals many open questions that deserves further study

all partner presses british academy scholarship online advanced search help search my subject specializations select

structured inverse eigenvalue problems by moody t chu and gene h golub abstract this paper more should be said about these constraints in order to define an iep first we recall one condition under which two geometric entities intersect transversally loosely speaking we may assume that

moody chu gene golub numerical mathematics and scientific computation series inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions the theoretical issue of solvability and the practical

semi definite programming techniques for structured quadratic inverse eigenvalue problems matthew m lin bo dong and moody t chu department of mathematics north carolina state university raleigh nc 27695 8205

Inverse Eigenvalue Problems Moody T Chu Gene H Golub

Inverse Eigenvalue Problems Moody T Chu Gene H Golub

Inverse Eigenvalue Problems Theory Algorithms And

Inverse Eigenvalue Problems Theory Algorithms And