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Structure-Preserving Doubling Algorithms for Nonlinear Matrix Equations

Nonlinear matrix equations arise frequently in applied science and engineering. This is the first book to provide a unified treatment;

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Matrix Algorithms in MATLAB

Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book;

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Matrix Algorithms

This thorough, concise, and superbly written volume is the first in a self-contained five-volume series devoted to matrix algorithms. It;

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Turbo Message Passing Algorithms for Structured Signal Recovery

signals include 1) a sparse vectormatrix (which corresponds to the compressed sensing (CS) problem), 2) a low-rank matrix (which corresponds to;

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Optimization Algorithms on Matrix Manifolds

Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called;

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Algebraic Graph Algorithms

networks, employing matroids whenever possible. The text describes the design of a simple parallel matrix algorithm kernel that can be used for;

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Design and Analysis of Algorithms

introduction, the book provides a detailed account of graphs and data structure. It then discusses matrix algorithms, basic algorithms, network;

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Modern Anti-windup Synthesis

. Luca Zaccarian and Andrew Teel's modern method--combining a state-space approach with algorithms generated by solving linear matrix;

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Numerical Linear Algebra

problems. Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear;

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Introduction to Matrix Theory

INTRODUCTION TO MATRIX THEORY discusses a range of applications in Statistics, Combinatorial Science, Functional and Numerical Analysis etc;

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Algorithms and Complexity

illustrate the tools for algorithm analysis. Recursive algorithms are illustrated by Quicksort, FFT, fast matrix multiplications, and others;

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Algorithms and Complexity

illustrate the tools for algorithm analysis. Recursive algorithms are illustrated by Quicksort, FFT, fast matrix multiplications, and others;

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Quantum Mechanics in Matrix Form

This book gives an introduction to quantum mechanics with the matrix method. Heisenberg's matrix mechanics is described in detail. The;

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Quantum Many-Body Physics of Ultracold Molecules in Optical Lattices

internal structure and strong, long-range dipole-dipole interactions. In addition, numerical methods based on matrix product states are analyzed;

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Simultaneous Localization And Mapping

of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together;

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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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MM Optimization Algorithms

algorithms can: Separate the variables of a problem. Avoid large matrix inversions. Linearize a problem. Restore symmetry. Deal with equality and;

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A First Course in Random Matrix Theory

of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix;

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Optimization of Linear Control Systems

Lyapunov and Riccati equations, polynomial matrix factorization) and illustrates the effectiveness of these algorithms by examples in the field;

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Fundamentals of Matrix Computations

Fundamentals of Matrix Computations deals with the concept of matrix computations, a technique of singular value homogenization and its;

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Hierarchical Matrices

This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear;

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Matrices, Moments and Quadrature with Applications

bilinear forms involving two vectors and a function of the matrix. The first part of the book provides the necessary mathematical background and;

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Foundations of Data Science

topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed;

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Matrix Algebra

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work;

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Matrix Algebra

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work;

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Numerical Methods in Matrix Computations

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers;

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Fundamentals of Matrix Computations

This new, modernized edition provides a clear and thorough introduction to matrix computations,a key component of scientific computing;

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