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Fast Reliable Algorithms for Matrices with Structure

-scale structured systems of linear equations, in many cases, remains a significant open issue. Fast Reliable Algorithms for Matrices with;

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Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications

of efficient numerical methods, for example algorithms for matrices with low-rank block structure, matrices with decay, and structured tensor;

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Fast Solvers for Mesh-Based Computations

Fast Solvers for Mesh-Based Computations presents an alternative way of constructing multi-frontal direct solver algorithms for mesh-based;

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Matrix Computations and Semiseparable Matrices V 1

In recent years several new classes of matrices have been discovered and their structure exploited to design fast and accurate algorithms;

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Quaternion Matrix Computations

, especially the LU, the Cholesky, the QR and the singular value decomposition of quaternion matrices, direct and iterative methods for solving;

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Digital Signal Processing Algorithms

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital;

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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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Iterative Solution of Large Sparse Systems of Equations

ignored in other literature. The necessary amount of work increases dramatically with the size of systems, so one has to search for algorithms;

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Data Structure Using C

implementation in C++ A set of questions with answers are for interviews. Sufficient number of problems and questions.;

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Combinatorial Matrix Classes

of combinatorial significance. Several classes of matrices are thoroughly developed including the classes of matrices of 0's and 1's with a specified;

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Computational Atomic Structure

Computational Atomic Structure: An MCHF Approach deals with the field of computational atomic structure, specifically with the;

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Computational Atomic Structure

Computational Atomic Structure: An MCHF Approach deals with the field of computational atomic structure, specifically with the;

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Theory and Applications of Higher-Dimensional Hadamard Matrices, Second Edition

of the book presents fast algorithms, updated constructions, existence results, and generalized forms for Walsh and Hadamard matrices. The second;

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Theory and Applications of Higher-Dimensional Hadamard Matrices, Second Edition

of the book presents fast algorithms, updated constructions, existence results, and generalized forms for Walsh and Hadamard matrices. The second;

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Fast Algorithms For Signal Processing

optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure;

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Hadamard Matrices

Up-to-date resource on Hadamard matrices Hadamard Matrices: Constructions using Number Theory and Algebra provides students with a;

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Parallel Solution of Soil-Structure Interaction Problems

parallel dynamic finite element analysis method for numerical solution of soil-structure interaction problems. For this purpose first, an;

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Structured Matrix Based Methods for Approximate Polynomial GCD

structure of the relevant matrices, such as Toeplitz, Toepliz-block and displacement structures. New algorithms for the computation of approximate;

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Matrices, Moments and Quadrature with Applications

This computationally oriented book describes and explains the mathematical relationships among matrices, moments, orthogonal polynomials;

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Matrix Computations and Semiseparable Matrices - Eigenvalve and Singular Value Methods V2

value computations for semiseparable matrices. These matrices have hidden properties that allow the development of efficient methods and;

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Structural Mechanics

finite element method Element matrices are established from analytical solutions to the differential equations Provides a strong toolbox with;

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Hierarchical Matrices

perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes;

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Integral Equation Methods for Electromagnetic and Elastic Waves

equation methods, with their sparse matrices, can solve many problems more efficiently than integral equation methods. Recently, due to the advent;

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Matrices: Theory and Applications

many interesting applications of matrices to different aspects of mathematics and also other areas of science and engineering. With forty;

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Toeplitz Matrices, Convolution Operators, and Integral Equations

matrix theory, Fredholm theory and numerical analysis for singular integral equations, and efficient algorithms for linear systems with;

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Random Matrices: High Dimensional Phenomena

behave on geometrical objects with large dimension. To prove such results for random matrices, the book develops the modern theory of optimal;

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