Algebras, Linear.
Overview
| Works: | 281 works in 58 publications in 58 languages | |
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Titles
Vectors, pure and applied : = a general introduction to linear algebra /
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Vector calculus, linear algebra, and differential forms : = a unified approach /
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Modules and algebras : = bimodule structure and group actions on algebras /
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The Geometry of spacetime : = an introduction to special and general relativity /
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Orthogonal sets and polar methods in linear algebra : = applications to matrix calculations, systems of equations, inequalities, and linear programming /
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Multivariable mathematics : = linear algebra, multivariable, calculus, and manifolds /
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Newton methods for nonlinear problems : = affine invariance and adaptive algorithms /
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Mathematical analysis : = linear and metric structures and continuity /
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Linear algebra : = an introduction to the theory and use of vectors and matrices /
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Linear algebra and linear operators in engineering = with applications in Mathematica /
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Essential linear algebra with applications = a problem-solving approach /
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Numerical linear algebra = a concise introduction with MATLAB and Julia /
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A course of higher mathematics.. Volume III part one. Linear algebra /
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A course of higher mathematics.. Volume III part two. Complex variables and special functions /
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A course of higher mathematics.. Volume IV. Integral equations and partial differential equations /
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A course of higher mathematics.. Volume V. Integration and functional analysis /
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Rings, modules and linear algebra : = a further course in algebra describing the structure of Abelian groups and canonical forms of matrices through the study of rings and modules /
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Linear algebra : = a first course, with applications to differential equations /
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Pseudosolution of Linear Functional Equations = Parameters Estimation of Linear Functional Relationships /
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Differential equations, dynamical systems, and an introduction to chaos /
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Advanced topics in linear algebra : = weaving matrix problems through the Weyr Form /
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Representation theory of finite groups : = an introductory approach /
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The Linear algebra survival guide : = illustrated with Mathematica /
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Coding the matrix : = linear algebra through applications to computer science /
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Groups, matrices, and vector spaces = a group theoretic approach to linear algebra /
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Numerical solution of differential equations = introduction to finite difference and finite element methods /
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Krylov methods for nonsymmetric linear systems = from theory to computations /
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Linear algebra and optimization with applications to machine learning.. Volume II,. Fundamentals of optimization theory with applications to machine learning /
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Calculus and linear algebra in recipes = terms, phrases and numerous examples in short learning units /
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Applied linear algebra, probability and statistics = a volume in honour of C. R. Rao and Arbind K. Lal /
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