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Theory and Applications of Gaussian Quadrature Methods

of this work is to provide an introduction to the theory and practice of Gaussian quadrature. We study the approximation theory of trigonometric;

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Orthogonal Functions

functions, moment theory, and integral transforms. Describes links between continued fractions. Pade approximation, special functions, and Gaussian;

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Orthogonal Functions

functions, moment theory, and integral transforms. Describes links between continued fractions. Pade approximation, special functions, and Gaussian;

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Power Orthogonal Polynomials

. Chapter 5 is devoted to the theory of Christo (R)el type functions, which are related to Gaussian quadrature formulas and is one of the important;

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Differential Quadrature and Differential Quadrature Based Element Methods

Differential Quadrature and Differential Quadrature Based Element Methods: Theory and Applications is a comprehensive guide to;

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The Inverse Gaussian Distribution: Theory

properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users;

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The Inverse Gaussian Distribution: Theory

properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users;

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Probability

This book is a collective work made by various authors well-recognised owing to their appreciable contributions to the theory and;

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Quantum Continuous Variables: A Primer of Theoretical Methods

addresses the theory of Gaussian states, operations, and dynamics in great depth and breadth, through a novel approach that embraces both the;

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Electronic Structure Calculations

applications for the most widely used electronic structure methods. The book covers all commonly used basis sets including localized Gaussian and;

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Spectral Methods in Chemistry and Physics

This book is a pedagogical presentation of the application of spectral and pseudospectral methods to kinetic theory and quantum mechanics;

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Nonlinear Estimation

sample point filters (also called Gaussian filters) and their variants for nonlinear estimation problems, for which no closed-form solution;

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Matrices, Moments and Quadrature with Applications

explains the theory. The second part describes the applications and gives numerical examples of the algorithms and techniques developed in the;

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An Introduction to the Locally-Corrected Nystrom Method

numerical solution. Classical and generalized Gaussian quadrature rules are reviewed. The traditional Nystroem method is summarized, and applied to;

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Quantum Continuous Variables

addresses the theory of Gaussian states, operations, and dynamics in great depth and breadth, through a novel approach that embraces both the;

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Linear Algebra, Matrix Theory and Applications

Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on;

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Bayesian Estimation and Tracking

for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and;

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Statistical Modeling Using Local Gaussian Approximation

most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation;

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Advanced Methods for Geometric Modeling and Numerical Simulation

constructions and spline models, with a special focus on emerging adaptive spline constructions, fundamental spline theory and related algorithms, as;

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Simulation of Stochastic Processes with Given Accuracy and Reliability

reliability in functional spaces. The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Mass Transportation Problems: Volume 1: Theory

The first comprehensive account of the theory of mass transportation problems and its applications. In Volume I, the authors systematically;

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Applied Analysis

/>Chapter VI (Quadrature Methods) surveys a variety of quadrature methods with particular emphasis on Gaussian quadrature and its use in solving;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Mass Transportation Problems

The first comprehensive account of the theory of mass transportation problems and its applications. In Volume I, the authors systematically;

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