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Books on the topic 'Gaussian equation'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Link, Carol L. An equation for one-sided tolerance limits for normal distributions. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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2

Link, Carol L. An equation for one-sided tolerance limits for normal distributions. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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3

Link, Carol L. An equation for one-sided tolerance limits for normal distributions. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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4

Link, Carol L. An equation for one-sided tolerance limits for normal distributions. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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5

Link, Carol L. An equation for one-sided tolerance limits for normal distributions. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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6

Link, Carol L. An equation for one-sided tolerance limits for normal distributions. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985.

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7

Dyall, Kenneth G. Polyatomic molecular Dirac-Hartree-Fock calculations with Gaussian basis sets. NASA Ames Research Center, 1990.

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8

Grigoryan, A. Heat kernel and analysis on manifolds. American Mathematical Society, 2009.

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9

Grigoryan, A. Heat kernel and analysis on manifolds. American Mathematical Society, 2009.

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10

1957-, Adamian Armen, and Langley Research Center, eds. Approximation theory for LQG optimal control of flexible structures. National Aeronautics and Space Administration, Langley Research Center, 1988.

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11

Ecole d'été de probabilités de Saint-Flour (24th 1994). Lectures on probability theory and statistics: Ecole d'été de probabilités de Saint-Flour XXIV, 1994. Edited by Dobrushin R. L. 1929-, Groeneboom P, Ledoux Michel 1958-, and Bernard P. 1944-. Springer, 1996.

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12

Tsao, Nai-kuan. On the equivalence of a class of inverse decomposition algorithms for solving systems of linear equations. Institute for Computational Mechanics in Propulsion, 1989.

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13

United States. National Aeronautics and Space Administration., ed. On the equivalence of Gaussian elimination and Gauss-Jordan reduction in solving linear equations. National Aeronautics and Space Administration, 1989.

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14

Carmona, R. Parabolic Anderson problem and intermittency. American Mathematical Society, 1994.

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15

International Conference on Computational Mathematics. The International Conference on Computational Mathematics: Proceedings. ICM&MG, 2002.

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16

Brezin, Edouard, and Sinobu Hikami. Beta ensembles. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.20.

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This article deals with beta ensembles. Classical random matrix ensembles contain a parameter β, taking on the values 1, 2, and 4. This parameter, which relates to the underlying symmetry, appears as a repulsion sβ between neighbouring eigenvalues for small s. β may be regarded as a continuous positive parameter on the basis of different viewpoints of the eigenvalue probability density function for the classical random matrix ensembles - as the Boltzmann factor for a log-gas or the squared ground state wave function of a quantum many-body system. The article first considers log-gas systems bef

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17

Ledoux, Michel, R. Dobrushin, and P. Groeneboom. Lectures on Probability Theory and Statistics: Ecole D'Ete De Probabilities De St. Flour Xxiv - 1994 (Lecture Notes in Mathematics). Springer, 1997.

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18

Belyaev and Piterbart. Theory of Gaussian Processes and Fields. Amer Mathematical Society, 1995.

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19

Boudreau, Joseph F., and Eric S. Swanson. Numerical quadrature. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0005.

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This chapter discusses the numerous applications of numerical quadrature (integration) in classical mechanics, in semiclassical approaches to quantum mechanics, and in statistical mechanics; and then describes several ways of implementing integration in C++, for both proper and improper integrals. Various algorithms are described and analyzed, including simple classical quadrature algorithms as well as those enhanced with speedups and convergence tests. Classical orthogonal polynomials, whose properties are reviewed, are the basis of a sophisticated technique known as Gaussian integration. Pra

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20

Tudor, Ciprian A. Stochastic Partial Differential Equations with Additive Gaussian Noise: Analysis and Inference. World Scientific Publishing Co Pte Ltd, 2022.

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21

Unser, Michael, and Pouya D. Tafti. Introduction to Sparse Stochastic Processes. University of Cambridge ESOL Examinations, 2014.

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22

Unser, Michael, and Pouya D. Tafti. Introduction to Sparse Stochastic Processes. Cambridge University Press, 2014.

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23

Unser, Michael, and Pouya D. Tafti. Introduction to Sparse Stochastic Processes. Cambridge University Press, 2014.

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24

Zabczyk, J., M. Röckner, N. V. Krylov, and G. Da Prato. Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions: Lectures Given at the 2nd Session of the Centro Internazionale Matematico Estivo held in Cetraro, Italy, August 24 - September 1 1998. Springer, 2006.

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25

Zabczyk, J., N. V. Krylov, and M. Röckner. Stochastic PDE's and Kolmogorov Equations in Infinite Dimensions: Lectures given at the 2nd Session of the Centro Internazionale Matematico Estivo (C.I.M.E.)held ... Mathematics / Fondazione C.I.M.E., Firenze). Springer, 1999.

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26

Introduction to Hida distributions. World Scientific, 2012.

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27

Si, Si. Introduction to Hida Distributions. World Scientific Publishing Co Pte Ltd, 2011.

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28

Guenther, B. D. Modern Optics Simplified. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198842859.001.0001.

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This textbook is designed for use in a standard physics course on optics at the sophomore level. The book is an attempt to reduce the complexity of coverage found in Modem Optics to allow a student with only elementary calculus to learn the principles of optics and the modern Fourier theory of diffraction and imaging. Examples based on real optics engineering problems are contained in each chapter. Topics covered include aberrations with experimental examples, correction of chromatic aberration, explanation of coherence and the use of interference theory to design an antireflection coating, Fo

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