Geared toward beginning graduate students of mathematics, this text covers Banach space, open mapping and closed graph theorems, local convexity,...

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This graduate-level text opens with an elementary presentation of Hilbert space theory sufficient for understanding the rest of the book....

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Precise exposition provides an excellent summary of the modern theory of locally convex spaces and develops the theory of distributions...

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This classic textbook introduces linear operators in Hilbert Space, and presents the geometry of Hilbert space and the spectral theory...

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Suitable for advanced undergraduates and graduate students, this text introduces the stability theory and asymptotic behavior of solutions of linear...

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Elementary, concrete approach: fundamentals of matrix algebra, linear transformation of the plane, application of properties of eigenvalues and eigenvectors to...

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Three-part approach, with notes and references for each section, covers linear algebra and finite dimensional systems, operators in Hilbert space,...

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This is a short course on Banach space theory with special emphasis on certain aspects of the classical theory. In...

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Undergraduate-level introduction to linear algebra and matrix theory. Explores matrices and linear systems, vector spaces, determinants, spectral decompositi......

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This comprehensive treatment features analytic formulas, enabling precise formulation of geometric facts, and it covers geometric manifolds and transformatio......

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Elementary transformations and bilinear and quadratic forms; canonical reduction of equivalent matrices; subgroups of the group of equivalent transformations......

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Category theory provides a general conceptual framework that has proved fruitful in subjects as diverse as geometry, topology, theoretical computer...

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Classic exposition of modern theories of differentiation and integration and principal problems and methods of handling integral equations and linear...

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Computer Science and Applied Mathematics: A Series of Monographs and Textbooks: Software for Roundoff Analysis of Matrix Algorithms focuses on...

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Completely revised text applies spectral methods to boundary value, eigenvalue, and time-dependent problems, but also covers cardinal functions, matrix-solvi......

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This well-known text provides a relatively elementary introduction to distribution theory and describes generalized Fourier and Laplace transformations and t......

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This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a...

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The study of Multivariate Time Series has always been more difficult at the modeling stage than the univariate case. Identification...

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This richly illustrated and clearly written undergraduate textbook captures the excitement and beauty of geometry. The approach is that of...

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Here is a clear, well-organized coverage of the most standard theorems, including isomorphism theorems, transformations and subgroups, direct sums, abelian...

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