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Linear Algebra, Matrix Theory and Applications

Elimination-based correlation analysis, Shift-invert diagonalization of spin chains, Fast matrix multiplication, Finding the pth root of principal;

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Linear Algebra and Matrix Analysis for Statistics

Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the;

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Covariance Analysis for Seismic Signal Processing

analysis is assumed. This reference is unique in that the data vector covariance matrix is used throughout. Rather than addressing only one seismic;

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Simple Processors for Executing Scalar/Vector/ Matrix Instructions

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Testing Research Hypotheses with the General Linear Model

analysis tool. Rather than using matrix algebra, the authors use the simpler approach of vector algebra.;

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Matrix Vector Analysis

This outstanding text and reference applies matrix ideas to vector methods, using physical ideas to illustrate and motivate mathematical;

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Advanced Calculus

of differentiation of a vector function of a vector variable has been modernized by defining the derivative to be the Jacobian matrix; and, the general form;

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Nonlinear Vibrations of Cantilever Beams and Plates

Many engineering problems can be solved using a linear approximation. In the Finite Element Analysis (FEA) the set of equations, describing;

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Mathematical Methods for Engineers and Scientists 2: Vector Analysis, Ordinary Differential Equations and Laplace Transforms

. Topics such as complex analysis, matrix theory, vector and tensor analysis, Fourier analysis, integral transforms, ordinary and partial;

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Bitangential Direct and Inverse Problems for Systems of Integral and Differential Equations

data is either a monodromy matrix; an input scattering matrix; an input impedance matrix; a matrix valued spectral function; or an asymptotic;

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Linear Algebra with Applications

covered include Gauss-Jordan elimination, matrix operations, vectors, dot product, linear transformation, matrix transformations, vector spaces;

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Linear Algebra with Applications

covered include Gauss-Jordan elimination, matrix operations, vectors, dot product, linear transformation, matrix transformations, vector spaces;

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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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Mathematical Analysis

For the second edition of this very successful text, Professor Binmore has written two chapters on analysis in vector spaces. The;

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Linear Continuous-Time Systems

systems analysis and design of the systems operating in real conditions, i.e., in forced regimes under arbitrary initial conditions. The text;

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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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Circuits, Matrices and Linear Vector Spaces

This high-level undergraduate text explains the mathematics behind basic circuit theory. Its self-contained treatment covers matrix algebra;

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Matrices in Engineering Problems

discussion of these is given in an appendix. The example of the vibrating string is given with a comparison of the matrix analysis to the continuous;

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Matrix Perturbation Theory

, and the generalized eignevalue problem as wellas a complete treatment of vector and matrix norms, including the theory of unitary invariant;

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Group Inverses of M-Matrices and Their Applications

Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes;

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Basics of Matrix Algebra for Statistics with R

guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also;

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Basics of Matrix Algebra for Statistics with R

elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers;

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Linear Systems Properties

inversion are also clearly presented. This new edition adds material from: Orthogonal functions Linear algebra Matrix analysis;

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Analysis in Vector Spaces Set

This set includes: Analysis in Vector Spaces ISBN 978-0-470-14824-2 and Analysis in Vector Spaces, Student Solutions Manual ISBN 978-0;

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Hot Topics in Linear Algebra

with several unknowns are naturally represented using the formalism of matrices and vectors. So we arrive at the matrix algebra, etc. Linear;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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