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Spectral Methods Using Multivariate Polynomials On The Unit Ball

Spectral Methods Using Multivariate Polynomials on the Unit Ball is a research level text on a numerical method for the solution of partial;

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Spectral Methods in Chemistry and Physics

of transport coefficients in gases and other gas dynamical problems based on spectral and pseudospectral solutions of the Boltzmann equation. Radiative;

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Statistical Simulation

Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30;

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Statistical Simulation

Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30;

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Linear Operators And Their Spectra

of the zeros of certain orthogonal polynomials on the unit circle. Finally, two methods, both very recent, for obtaining bounds on the;

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Pseudospectral Simulations of 2D Flow Past a Dimpled Cylinder - Numerical Simulations of 2D Flow Past a Dimpled Cylinder Using Fourier-Chebyshev Pseudospectral Method

convergence properties. The basic spectral methods only work on rectangular or circular domains. A very important and active research area is to adapt;

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Spectral Methods for Time-Dependent Problems

errors and the formulation of spectral methods on general grids. These will be especially helpful for practitioners.;

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Chebyshev Polynomials

polynomials has been published since 1990, and even that work focused primarily on the theoretical aspects. A broad, up-to-date treatment is long;

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Szego's Theorem and Its Descendants

-Simon theorems for orthogonal polynomials on the unit circle (OPUC) and orthogonal polynomials on the real line (OPRL), Simon covers Toda;

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Hilbert Space, Boundary Value Problems and Orthogonal Polynomials

This monograph consists of three parts: - the abstract theory of Hilbert spaces, leading up to the spectral theory of unbounded self;

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Spectral Clustering And Biclustering

Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between;

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Generation of Multivariate Hermite Interpolating Polynomials

and in the construction of expression for n-dimensional natural numbers. Section II focuses on the construction of Hermite interpolating;

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Stochastic Finite Elements

and covariance functions. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is employed to represent;

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Orthogonal Polynomials

contributions are based on lectures given at the AIMS-Volkswagen Stiftung Workshop on Introduction of Orthogonal Polynomials and Applications held on;

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Encyclopedia of Special Functions

polynomials on the unit circle, zeros of orthogonal polynomials and matrix orthogonal polynomials, with detailed results about matrix-valued Jacobi;

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Multidimensional Stationary Time Series

This book gives a brief survey of the theory of multidimensional (multivariate), weakly stationary time series, with emphasis on dimension;

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Orthogonal Polynomials: 2nd Aims-Volkswagen Stiftung Workshop, Douala, Cameroon, 5-12 October, 2018

contributions are based on lectures given at the AIMS-Volkswagen Stiftung Workshop on Introduction of Orthogonal Polynomials and Applications held on;

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Multivariate Analysis for the Biobehavioral and Social Sciences

and biobehavioral sciences. Using real-world data and the latest software applications, the book addresses the topic in a comprehensible and;

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Multivariate Statistical Methods

style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this;

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Multivariate Statistical Methods

style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this;

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Frontiers in Interpolation and Approximation

Dedicated to the well-respected research mathematician Ambikeshwar Sharma, Frontiers in Interpolation and Approximation explores;

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Orthogonal Polynomials in the Spectral Analysis of Markov Processes

connection between orthogonal polynomials and stochastic processes. This book gives a comprehensive analysis of the spectral representation of the;

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An Introduction to Numerical Methods and Analysis Set

from, why they work, why they sometimes don't work, and when to use which of the many techniques that are available. Various sections have been;

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Multivariate Quality Control

Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer;

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Encyclopedia of Mathematics and its Applications

, which will be especially useful for applications, and orthogonal polynomials on the unit sphere. The most modern and complete treatment of the;

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Bayesian Multivariate Time Series Methods for Empirical Macroeconomics

in macroeconomics, but Vector Autoregressive (VAR) models have been among the most popular. The book reviews and extends the Bayesian literature on VARs;

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Robust Multivariate Analysis

types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample;

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