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Lanczos Algorithms for Large Symmetric Eigenvalue Computations Vol. II Programs

Lanczos Algorithms for Large Symmetric Eigenvalue Computations is een boek van Jane K. Cullum;

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The Symmetric Eigenvalue Problem

and more disciplines, we can anticipate a demand for eigenvalue calculations in an ever richer variety of contexts . Anyone who performs these;

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Core-Chasing Algorithms for the Eigenvalue Problem

of choice for small to medium sized eigenvalue problems since its invention in 1959. This book presents a new view of this classical algorithm;

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Fundamentals of Infrastructure Engineering

Based on the author's extensive experience, this book presents recent advances in systems theory and methodology for infrastructure;

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Numerical Methods in Matrix Computations

for linear systems, least squares and eigenvalue problems. A thorough analysis of the stability, accuracy, and complexity of the treated;

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Fundamentals of Matrix Computations

for solving symmetric, positive definite systems* An introduction to new methods for solving large, sparse eigenvalue problems including;

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Matrix Computations

The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers;

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Matrix Computations and Semiseparable Matrices - Eigenvalve and Singular Value Methods V2

Semiseparable Matrices. In volume 2, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi discuss the theory of structured eigenvalue and singular;

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Quaternion Matrix Computations

In this monograph, the authors describe state-of-the-art real structure-preserving algorithms for quaternion matrix computations;

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Large-Scale Scientific Computing

problems. The chapter 'Parallel Aggregation Based on Compatible Weighted Matching for AMG' is available open access under a CC BY 4.0 license.;

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Fundamentals of Matrix Computations

algorithms for adaptive networks, a dft-based approximate eigenvalue and singular value decomposition of polynomial matrices, sparse signal subspace;

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Numerical Algorithms with Fortran

systems of symmetric equations. The real, practical algorithms provided make the book indispensable for applied scientists working in all areas;

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Matrices, Moments and Quadrature with Applications

, quadrature rules, and the Lanczos and conjugate gradient algorithms. The book bridges different mathematical areas to obtain algorithms to estimate;

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Fundamentals of Matrix Computations

product eigenvalue problems * Expanded treatment of the Jacobi-Davidson method * A new discussion on stopping criteria for iterative methods for;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 9th International Workshop on Algorithms and Models for the Web-Graph, WAW 2012, held;

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Large-Scale Scientific Computing

from 64 submissions. The general theme for LSSC 2015 was Large-Scale Scientific Computing with a particular focus on the organized special;

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Nonlinear Eigenproblems in Image Processing and Computer Vision

; examines graph-based and nonlocal methods, for which a TV eigenvalue analysis gives rise to strong segmentation, clustering and classification;

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Numerical Verification Methods and Computer Assisted Proofs for Partial Differen

error estimates for finite element approximations of the Poisson equation. In Part II, the computer-assisted approaches via eigenvalue bounds;

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Numerical Verification Methods and Computer Assisted Proofs for Partial Differen

error estimates for finite element approximations of the Poisson equation. In Part II, the computer-assisted approaches via eigenvalue bounds;

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Large-Scale Scientific Computing

This book constitutes revised papers from the 12th International Conference on Large-Scale Scientifi;...

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Numerical Methods in Computational Mechanics

, before covering solution of systems of equations, symmetric eigenvalue solution methods, and direct integration of discrete dynamic equations;

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Numerical Methods in Computational Mechanics

, before covering solution of systems of equations, symmetric eigenvalue solution methods, and direct integration of discrete dynamic equations;

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Algorithms for Large Scale Linear Algebraic Systems:

An overview of the most successful algorithms and techniques for solving large, sparse systems of equations and some algorithms and;

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Spectral Computations for Bounded Operators

addresses the issue of solving eigenvalue problems for operators on infinite dimensional spaces. From a review of classical spectral theory;

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Unstructured Scientific Computation on Scalable Multiprocessors

for partial differential equations and sparse linear algebra.The nineteen contributions describe methods to effectively map fluids and;

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Selected Areas in Cryptography - SAC 2017

key cryptosystems Primitives for symmetric key cryptography, including block and stream ciphers, hash functions, and MAC algorithms Efficient;

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The Potential of Fields in Einstein s Theory of Gravitation

formalisms offer some simplifications over the tensorial methods, and investigates a general approach to finding the Lanczos potential for algebraic;

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