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Matrix inversion --- 512.64 --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- Matrices --- Linear and multilinear algebra. Matrix theory --- Generalized inverses --- Matrix inversion. --- 512.64 Linear and multilinear algebra. Matrix theory
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Numerical approximation theory --- Matrix inversion --- Transformations (Mathematics) --- Matrices --- Transformations (Mathématiques) --- Inversion --- 512.64 --- Algorithms --- Differential invariants --- Geometry, Differential --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- Linear and multilinear algebra. Matrix theory --- Generalized inverses --- Matrix inversion. --- Transformations (Mathematics). --- 512.64 Linear and multilinear algebra. Matrix theory --- MATRIX INVERSION --- Opérateurs linéaires --- Inverses généralisés
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Analysis of variance --- Matrix inversion --- Analyse de variance --- Matrices --- Inversion --- 519.237 --- #WWIS:IBM/STAT --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- ANOVA (Analysis of variance) --- Variance analysis --- Mathematical statistics --- Experimental design --- Multivariate statistical methods --- Generalized inverses --- 519.237 Multivariate statistical methods --- Opérateurs linéaires --- Inverses généralisés
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Regression and the Moore-Penrose pseudoinverse
Matrix inversion. --- Regression analysis. --- Regression analysis --- Matrix inversion --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Analysis, Regression --- Linear regression --- Regression modeling --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Multivariate analysis --- Structural equation modeling --- Linear operators --- Matrices --- Generalized inverses --- #WWIS:STAT --- 519.233 --- 519.233 Parametric methods --- Parametric methods --- Pseudoinverses --- Pseudo-inverses. --- Analyse de régression --- Inversion --- ELSEVIER-B EPUB-LIV-FT --- Regression Analysis
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One-dimensional quantum systems show fascinating properties beyond the scope of the mean-field approximation. However, the complicated mathematics involved is a high barrier to non-specialists. Written for graduate students and researchers new to the field, this book is a self-contained account of how to derive the exotic quasi-particle picture from the exact solution of models with inverse-square interparticle interactions. The book provides readers with an intuitive understanding of exact dynamical properties in terms of exotic quasi-particles which are neither bosons nor fermions. Powerful concepts, such as the Yangian symmetry in the Sutherland model and its lattice versions, are explained. A self-contained account of non-symmetric and symmetric Jack polynomials is also given. Derivations of dynamics are made easier, and are more concise than in the original papers, so readers can learn the physics of one-dimensional quantum systems through the simplest model.
Electronic structure --- Matrix inversion. --- Many-body problem. --- n-body problem --- Problem of many bodies --- Problem of n-bodies --- Mechanics, Analytic --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- Matrices --- Structure, Electronic --- Atomic structure --- Energy-band theory of solids --- Mathematical models. --- Generalized inverses
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In 1990, the National Science Foundation recommended that every college mathematics curriculum should include a second course in linear algebra. In answer to this recommendation, Matrix Theory: From Generalized Inverses to Jordan Form provides the material for a second semester of linear algebra that probes introductory linear algebra concepts while also exploring topics not typically covered in a sophomore-level class. Tailoring the material to advanced undergraduate and beginning graduate students, the authors offer instructors flexibility in choosing topics from the book. The text first focuses on the central problem of linear algebra: solving systems of linear equations. It then discusses LU factorization, derives Sylvester's rank formula, introduces full-rank factorization, and describes generalized inverses. After discussions on norms, QR factorization, and orthogonality, the authors prove the important spectral theorem. They also highlight the primary decomposition theorem, Schur's triangularization theorem, singular value decomposition, and the Jordan canonical form theorem. The book concludes with a chapter on multilinear algebra. With this classroom-tested text students can delve into elementary linear algebra ideas at a deeper level and prepare for further study in matrix theory and abstract algebra.
Algebra --- Matrices --- Algebras, Linear --- Matrix inversion --- 512.643 --- Matrices and linear mappings. Matrix theory. Determinants. Eigenvalues --- 512.643 Matrices and linear mappings. Matrix theory. Determinants. Eigenvalues --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Linear algebra --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Generalized inverses --- Matrices - Textbooks --- Algebras, Linear - Textbooks --- Matrix inversion - Textbooks
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Numerical solutions of algebraic equations --- Matrix inversion --- Matrices --- Inversion --- 512.64 --- 519.6 --- 681.3*G13 --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- Linear and multilinear algebra. Matrix theory --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Generalized inverses --- Matrix inversion. --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 512.64 Linear and multilinear algebra. Matrix theory --- Opérateurs linéaires --- Inverses généralisés
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Numerical solutions of algebraic equations --- Error analysis (Mathematics) --- Estimation theory --- 519.22 --- Matrix inversion --- 512.64 --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- Matrices --- Estimating techniques --- Least squares --- Mathematical statistics --- Stochastic processes --- Errors, Theory of --- Instrumental variables (Statistics) --- Numerical analysis --- Statistics --- Statistical theory. Statistical models. Mathematical statistics in general --- Linear and multilinear algebra. Matrix theory --- Generalized inverses --- Estimation theory. --- Matrix inversion. --- Error analysis (Mathematics). --- 512.64 Linear and multilinear algebra. Matrix theory --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Opérateurs linéaires --- Inverses généralisés --- Calcul d'erreur. --- Moindres carrés.
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Algebra --- Matrix inversion --- Matrices --- Inversion --- #WWIS:ALTO --- 512.64 --- 519.6 --- 681.3*G13 --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- Linear and multilinear algebra. Matrix theory --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Generalized inverses --- Matrix inversion. --- Generalised inverses --- Generalised inverses. --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 512.64 Linear and multilinear algebra. Matrix theory --- Opérateurs linéaires --- Inverses généralisés
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Algebra --- Matrix inversion --- Pseudoinverses --- Congresses --- -Pseudoinverses --- -512.64 --- 519.6 --- 681.3*G13 --- Algebras, Linear --- Numerical analysis --- Inverse matrices --- Inverse of a matrix --- Inversion, Matrix --- Linear operators --- Matrices --- Linear and multilinear algebra. Matrix theory --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Generalized inverses --- Congresses. --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- 512.64 Linear and multilinear algebra. Matrix theory --- 512.64 --- Pseudo-inverses --- Opérateurs linéaires --- Inverses généralisés --- Inverses généralisés. --- Matrix inversion - Congresses --- Pseudoinverses - Congresses
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