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Positive Definite Matrices

This book represents the first synthesis of the considerable body of new research into positive definite matrices. These matrices play the;

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Matrix Algebra

presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices;

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Matrix Algebra

presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices;

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Posn(R) and Eisenstein Series

definite real matrices as well as quotients of this space by the unimodular group of integral matrices. The approach is presented in very classical;

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Linear Algebra, Matrix Theory and Applications

Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on;

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Harmonic Analysis on Symmetric Spaces - Higher Rank Spaces, Positive Definite Matrix Space and Generalizations

are quotients X=G/K, where G is a non-compact real Lie group, such as the general linear group GL(n,P) of all n x n non-singular real matrices;

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Second Course in Linear Algebra

canonical form, the spectral theorem, the QR factorization, normal matrices, Hermitian matrices (of interest to physics students), and positive;

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Riemannian Computing in Computer Vision

structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera;

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Riemannian Computing in Computer Vision

structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera;

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Graphs and Matrices

Graphs and Matrices provides a welcome addition to the rapidly expanding selection of literature in this field. As the title suggests;

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Concise Introduction to Linear Algebra

, matrices quickly into more advanced topics including, LU decomposition, orthogonal decomposition, Least squares solutions, Gram-Schmidt process;

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Concise Introduction to Linear Algebra

, matrices quickly into more advanced topics including, LU decomposition, orthogonal decomposition, Least squares solutions, Gram-Schmidt process;

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Nonnegative Matrices, Positive Operators, And Applications

Nonnegative matrices and positive operators are widely applied in science, engineering, and technology. This book provides the basic theory;

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Graphs and Matrices

texts on algebraic graph theory. Important matrices associated with graphs (for example, incidence, adjacency and Laplacian matrices) are;

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Totally Positive Matrices

Totally positive matrices constitute a particular class of matrices, the study of which was initiated by analysts because of its many;

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Linear Algebra

present the core topics: matrices, the vector space n, orthogonality in n, determinants, eigenvalues and eigenvectors, and linear;

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Linear Algebra

present the core topics: matrices, the vector space n, orthogonality in n, determinants, eigenvalues and eigenvectors, and linear;

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Totally Nonnegative Matrices

Totally nonnegative matrices arise in a remarkable variety of mathematical applications. This book is a comprehensive and self-contained;

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Totally Nonnegative Matrices

Totally nonnegative matrices arise in a remarkable variety of mathematical applications. This book is a comprehensive and self-contained;

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Approximation Theory XVI

Toeplitz matrices, phase retrieval, positive definite kernels, quasi-interpolation operators, stochastic collocation, the gradient conjecture, time;

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Encyclopedia of Mathematics and its Applications

This book provides an integrated treatment of the theory of nonnegative matrices (matrices with only positive numbers or zero as entries;

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Encyclopedia of Mathematics and its Applications

This book provides an integrated treatment of the theory of nonnegative matrices (matrices with only positive numbers or zero as entries;

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Factorization Methods for Discrete Sequential Estimation

of least squares data processing and the Kalman filter algorithm; positive definite matrices, the Cholesky decomposition, and some of their;

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The Invariant Theory of Matrices

This book gives a unified, complete, and self-contained exposition of the main algebraic theorems of invariant theory for matrices in a;

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Linear Algebra for Pattern Processing

. Such pattern information processing deals with a large amount of data, which are represented by high-dimensional vectors and matrices. There;

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To be Victorious in Life

In this powerful new book Yogananda provides positive affirmations for achieving success, outlines d;...

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Vivre En Vaingueur (to Be Victorious in Life - French)

In this powerful book Paramahansa Yogananda provides positive affirmations for achieving success, ou;...

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