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Eigenvalues
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  • Eigenvalues, Inequalities, and Ergodic Theoryby Mu-Fa Chen

    Springer 2005; US$ 109.00

    The first and only book to make this research available in the West Concise and accessible: proofs and other technical matters are kept to a minimum to help the non-specialist Each chapter is self-contained to make the book easy-to-use more...

  • Numerical Methods for General and Structured Eigenvalue Problemsby Daniel Kressner

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2005; US$ 119.00

    This book is about computing eigenvalues, eigenvectors and invariant subspaces of matrices. The treatment includes generalized and structured eigenvalue problems, such as Hamiltonian or product eigenvalue problems. All vital aspects of eigenvalue computations are covered: theory, perturbation analysis, algorithms, high performance methodologies and software. The reader will learn about recently developed techniques which substantially improve the performance of some of the most widely numerical methods, the QR and the QZ algorithm as well as Krylov subspace methods. A unique feature of this book is the detailed treatment of structured eigenvalue problems, providing insight on accuracy and efficiency gains to be expected from algorithms that... more...

  • Extremum Problems for Eigenvalues of Elliptic Operatorsby Antoine Henrot

    Springer 2006; US$ 59.95

    Focusing on extremal problems, this book looks for a domain which minimizes or maximizes a given eigenvalue of the Laplace operator with various boundary conditions and various geometric constraints. It considers the case of functions of eigenvalues and investigates similar questions for other elliptic operators. more...

  • Large Scale Eigenvalue Problemsby J. Cullum; R.A. Willoughby

    Elsevier 1986; US$ 223.00

    Results of research into large scale eigenvalue problems are presented in this volume. The papers fall into four principal categories: novel algorithms for solving large eigenvalue problems, novel computer architectures, computationally-relevant theoretical analyses, and problems where large scale eigenelement computations have provided new insight. more...

  • Inverse Eigenvalue Problemsby Moody Chu; Gene Golub

    OUP Oxford 2005; US$ 170.00

    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. In this text, the authors discuss the fundamental questions, some known results, many applications, mathematical properties, a variety of numerical techniques, as well as several open problems.This is the first book in the authoritative Numerical Mathematics and Scientific Computation series to cover numerical linear algebra, a broad area of numerical analysis. Authored by two world-renowned researchers, the book is aimed at graduates and researchers in applied mathematics,... more...

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