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Non-Negative Matrix And Tensor Factorizations

in nonnegative matrix and tensor factorizations, as well as decompositions and sparse representation of data, will ensure that this book is essential;

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Minimal Free Resolutions over Complete Intersections

This book introduces a theory of higher matrix factorizations for regular sequences and uses it to describe the minimal free resolutions;

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Tensor Computation for Data Analysis

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss;

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Matrix and Tensor Decompositions in Signal Processing

The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as;

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Matrix Calculus, Kronecker Product and Tensor Product - A Practical Approach to Linear Algebra, Multilinear Algebra and Tensor Calculus with Software Implementations (3rd Edition)

states, Clebsch-Gordan series, entanglement, hyperdeterminant, tensor eigenvalue problem, Carleman matrix and Bell matrix, tensor fields and;

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Non-Unique Factorizations

From its origins in algebraic number theory, the theory of non-unique factorizations has emerged as an independent branch of algebra and;

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Regularization, Optimization, Kernels, and Support Vector Machines

-negative matrix factorization Examines low-rank matrix and tensor-based models Presents advanced kernel methods for batch and online machine;

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Regularization, Optimization, Kernels, and Support Vector Machines

portfolio selection Addresses non-negative matrix factorization Examines low-rank matrix and tensor-based models Presents;

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Linear Algebra

Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course, which will be useful for;

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Tensors for Data Processing

data processing theories and methods. As a higher-order generalization of a matrix, tensor-based processing can avoid multi-linear;

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Matrices

of operators in inner product space, with tensor products and other concepts in multilinear algebra, and the theory of non-negative matrices. It will;

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From Dimension-Free Matrix Theory to Cross-Dimensional Dynamic Systems

From Dimension-Free Matrix Theory to Cross-Dimensional Dynamic Systems illuminates the underlying mathematics of semi-tensor product (STP;

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Numerical Linear Algebra and Matrix Factorizations

linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra;

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Numerical Linear Algebra and Matrix Factorizations

linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra;

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Audio Source Separation

This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix;

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Matrix Functions of Bounded Type

In this paper, the authors study matrix functions of bounded type from the viewpoint of describing an interplay between function theory and;

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Tensor Properties of Solids, Part One

, transformations, algebra, and calculus together with the matrix representations. Crystallography, as it relates to tensor properties of crystals;

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Matrix Analysis and Applications

This balanced and comprehensive study presents the theory, methods and applications of matrix analysis in a new theoretical framework;

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Physical Properties of Crystals

of tensors of the first and second ranks. Tensors of higher ranks and matrix methods are then introduced as natural developments of the theory. A;

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Matrix Computations

in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation;

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Magnetic Functions Beyond the Spin-Hamiltonian

matrix elements of the angular momentum operator. The energy levels for a variety of spins are generated and the modeling of the magnetization;

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Exercises in Numerical Linear Algebra and Matrix Factorizations

textbook Numerical Linear Algebra and Matrix Factorizations, published as Vol. 22 of Springer's Texts in Computational Science and Engineering;

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Exercises in Numerical Linear Algebra and Matrix Factorizations

textbook Numerical Linear Algebra and Matrix Factorizations, published as Vol. 22 of Springer's Texts in Computational Science and Engineering;

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Advances in Rings, Modules and Factorizations

represents a wide range of research trends in the theory of commutative and non-commutative rings and their modules, including multiplicative ideal;

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Tensor Analysis With Applications In Mechanics

relatively simple and easily grasped by any engineering student familiar with matrix operators in linear algebra. More complex problems arise when;

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Tensor Analysis With Applications In Mechanics

relatively simple and easily grasped by any engineering student familiar with matrix operators in linear algebra. More complex problems arise when;

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Advances in Rings, Modules and Factorizations: Graz, Austria, February 19-23, 2018

represents a wide range of research trends in the theory of commutative and non-commutative rings and their modules, including multiplicative ideal;

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