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Elementary Linear Algebra

, covering many important real-world applications, including graph theory, circuit theory, Markov chains, elementary coding theory, least-squares;

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The Combination of Observations

First published in 1931, this book is the second edition of a 1917 original. The text provides an account of the method of least squares;

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Data Fitting and Uncertainty

scientists or corresponding undergraduates who are interested in data fitting by the method of least-squares approximation, but have no or only;

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The Least-Squares Finite Element Method

This is the first monograph on the subject, providing a comprehensive introduction to the LSFEM method for numerical solution of PDEs;

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Partial Least Squares Path Modeling

This edited book presents the recent developments in partial least squares-path modeling (PLS-PM) and provides a comprehensive overview;

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Econometrics

tests assess regression equivalence.Explore heteroscedasticity with the White method and with generalized least squares;

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Supremum & Stability of Weighted Pseudoinverses & Weighted Least Squares Problems

of weighted pseudoinverses, weighted least squares problems and constrained weighted least squares problems, and stable methods for solving weighted;

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Residual Stress Measurement and the Slitting Method

, weighted least squares fit and convergence test in stress estimation, and computer programs to facilitate the implementation of the slitting method.;

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Linear Least Squares Computations

approach for the appraisalof algorithms.Linear Least Squares Computations serves as an outstanding reference forindustrial and applied;

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Functional Analysis

applications of Hilbert spaces, including least squares approximation, inverse problems, and Tikhonov regularization, should appeal not only to;

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An Introduction to Numerical Analysis

Fourier transform, numerical differentiation, the method of lines, boundary value problems, the conjugate gradient method, and the least squares;

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Understanding Least Squares Estimation and Geomatics Data Analysis

-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation;

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An Elementary Treatise on Plane Trigonometry

Excerpt from An Elementary Treatise on Plane Trigonometry: With Numerous Examples and Applications The following course;

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Partial Update Least-Square Adaptive Filtering

of the partial update least-squares adaptive filter algorithms. Basic partial update methods are applied to adaptive filter algorithms including;

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Partial Update Least-Square Adaptive Filtering

of the partial update least-squares adaptive filter algorithms. Basic partial update methods are applied to adaptive filter algorithms including;

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Least Squares Data Fitting with Applications

As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a;

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New Perspectives in Partial Least Squares and Related Methods

New Perspectives in Partial Least Squares and Related Methods shares original, peer-reviewed research from presentations during the 2012;

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Mathematical Modeling and Applied Calculus

sequence. Topics that are not traditionally taught in a one-semester Calculus course, such as dimensional analysis and the method of least squares;

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