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Group Majorization Methods

Group Majorization Methods Extensions of Matrix Inequalities to Lie Groups studies various concepts of matrix and inequalities extensions;

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Matrix Inequalities

As may be inferred from the title, "Matrix Inequalities," various topics such as matrix inequalities involving Hadamard product, convex;

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Matrix Inequalities and Their Extensions to Lie Groups

Matrix Inequalities and Their Extensions to Lie Groups gives a systematic and updated account of recent important extensions of classical;

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Matrix Inequalities for Iterative Systems

The book reviews inequalities for weighted entry sums of matrix powers. Applications range from mathematics and CS to pure sciences. It;

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Advances in Matrix Inequalities

This self-contained monograph unifies theorems, applications and problem solving techniques of matrix inequalities. In addition to the;

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Advances in Matrix Inequalities

This self-contained monograph unifies theorems, applications and problem solving techniques of matrix inequalities. In addition to the;

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Matrix Mathematics Theory, Facts, and Formulas Second Edition

specialized results. Hundreds of identities, inequalities, and matrix facts are stated clearly and rigorously with cross references, citations to the;

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Redundancy in Semidefinite Programming

inequalities. The deterministic methods given apply to diagonalizable linear matrix inequalities and system of ellipsoids. The book is suitable for;

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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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A Survey of Matrix Theory and Matrix Inequalities

matrix inequalities of Weyl, Fan, Kantorovich and others. The treatment is along the lines developed by these authors and their successors and;

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A Unified Algebraic Approach To Control Design

matrix equalities and matrix inequalities in the solutions of fixed order control and also provides computational algorithms.;

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High-Dimensional Probability

Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on;

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A Matrix Handbook for Statisticians

A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications This timely book, A Matrix;

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Scalar, Vector, and Matrix Mathematics

material on scalar inequalities, geometry, combinatorics, series, integrals, and more. Now more comprehensive than ever, Scalar, Vector, and Matrix;

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Operator Theory and Complex Analysis

matrix and operator valued functions. Other topics include: operator inequalities and operator means; matrix completion problems; operators;

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Matrix Analysis for Statistics

An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth;

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Scalar, Vector, and Matrix Mathematics Theory, Facts, and Formulas

material on scalar inequalities, geometry, combinatorics, series, integrals, and more. Now more comprehensive than ever, Scalar, Vector, and Matrix;

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Dilations, Linear Matrix Inequalities, the Matrix Cube Problem and Beta Distributions

An operator $C$ on a Hilbert space $mathcal H$ dilates to an operator $T$ on a Hilbert space $mathca;...

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Nonlinear Stochastic Systems with Network-Induced Phenomena

-of-squares techniques, Hamilton-Jacobi-Isaacs matrix inequalities, difference linear matrix inequalities and parameter-dependent matrix inequalities;

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Topics in Interpolation Theory

inequalities, multiplicative decompositions of J-inner matrix valued functions, the abstract interpolation problem, canonical systems of differential;

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Modern Anti-windup Synthesis

both SISO and MIMO systems * Presents algorithms as linear matrix inequalities that can be readily solved with widely available software;

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Concentration Inequalities

Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great;

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Geometric Aspects of Functional Analysis: Israel Seminar (Gafa) 2017-2019 Volume II

Spaces, which has recently had triumphs in Random Matrix Theory, and the Central Limit Theorem, one of the earliest examples of regularity and;

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Geometric Aspects of Functional Analysis: Israel Seminar (Gafa) 2017-2019 Volume I

Spaces, which has recently had triumphs in Random Matrix Theory, and the Central Limit Theorem, one of the earliest examples of regularity and;

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Large Sample Techniques for Statistics

new edition introduces a final chapter dedicated to random matrix theory, as well as expanded treatment of inequalities and mixed effects;

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