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Eigenvalues, Multiplicities and Graphs

is richest in cases where the graph is a tree, work on eigenvalues, multiplicities and graphs has provided the opportunity to identify which ideas;

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Bounds for Determinants of Linear Operators and their Applications

multiplicities of eigenvalues, etc. We derive upper and lower bounds, and perturbation results for determinants, and discuss applications of our;

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Probability on Trees and Networks

, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete;

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Probability on Trees and Networks

, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete;

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Graphs and Matrices

regular graphs and algebraic connectivity, Laplacian eigenvalues of threshold graphs, positive definite completion problem and graph-based matrix;

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Spectra of Graphs

reader is assumed to be familiar with basic linear algebra and eigenvalues, although some more advanced topics in linear algebra, like the Perron;

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Spectral Theory and Applications of Linear Operators and Block Operator Matrices

, multiplicities and localization of the eigenvalues of polynomially-compact operators.;

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Graphs and Matrices

. Coverage of later topics include Laplacian eigenvalues of threshold graphs, the positive definite completion problem and matrix games based on a;

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Direct and Inverse Finite-Dimensional Spectral Problems on Graphs

spectral theory of such problems on finite graphs of strings. The direct problem of finding the eigenvalues as well as the inverse problem;

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Direct and Inverse Finite-Dimensional Spectral Problems on Graphs

spectral theory of such problems on finite graphs of strings. The direct problem of finding the eigenvalues as well as the inverse problem;

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Spectral Clustering And Biclustering

Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between;

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Linear Algebra and Matrices

theorem on the structure of the eigenvalues of a nonnegative, irreducible matrix; and the inclusion of such combinatorial topics as BIBDs;

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Spectral Radius of Graphs

eigenvaluesProofs and open problems included for further studyOverview of classical topics such as spectral decomposition, the;

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London Mathematical Society Lecture Note Series

Written for mathematicians working with the theory of graph spectra, this book explores more than 400 inequalities for eigenvalues of the;

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Sonic Multiplicities

Sonic Multiplicities is a fascinating book, with essays rich in empirical detail and - captivatingly combining the personal and the;

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Sonic Multiplicities

Sonic Multiplicities is a fascinating book, with essays rich in empirical detail and - captivatingly combining the personal and the;

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Multiplicities: a Repository of Non-Existent Objects .. Repository of Non-Existent Objects. Zorn, John, CD

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The Multiplicities of Internet Addiction: The Misrecognition of Leisure and Learning

"With a discussion of this everyday practice constituting both leisure and learning in this digital age, The Multiplicities of Internet;

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The Asymptotic Distribution of Eigenvalues of Partial Differential Operators

of many outstanding mathematicians and physicists. This book studies the eigenvalues of elliptic linear boundary value problems and has as its;

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The Multiplicities of Internet Addiction: The Misrecognition of Leisure and Learning

interferes with relationships, or that 'excessive' time in front of computer screens is unhealthy. The Multiplicities of Internet Addiction contests;

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Spectra and Pseudospectra

Pure and applied mathematicians, physicists, scientists, and engineers use matrices and operators and their eigenvalues in quantum;

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Everyday Graphs

An introduction to simple graphs. Features of the book include: pictograms, bar charts, time charts, frequency charts and histograms; pie;

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Matrix Algebra

Defines basic terms and elementary matrices manipulation, introduces the concept of linear dependence, and explains eigenvalues and;

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Concise Introduction to Linear Algebra

, orthogonality, determinants, eigenvalues and eigenvectors, singular value decomposition. It adopts an efficient approach to lead students from vectors;

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Concise Introduction to Linear Algebra

, orthogonality, determinants, eigenvalues and eigenvectors, singular value decomposition. It adopts an efficient approach to lead students from vectors;

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Elliptic PDEs on Compact Ricci Limit Spaces and Applications

of Schrodinger operators, generalized Yamabe constants and eigenvalues of the Hodge Laplacian, with respect to the Gromov-Hausdorff topology. The author;

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Modern Trends in Fuzzy Graph Theory

This book provides an extensive set of tools for applying fuzzy mathematics and graph theory to real-life problems. Balancing the basics;

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