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Books on the topic 'Perturbative computations'

Author: Grafiati

Published: 9 March 2023

Last updated: 28 July 2025

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1

Kamiński, Marcin. The Stochastic Perturbation Method for Computational Mechanics. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118481844.

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2

H, Miller John J., ed. Singular perturbation problems in chemical physics: Analytic and computational methods. J. Wiley, 1997.

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3

Friedman, M. J. Accurate computation and continuation of homoclinic and heteroclinic orbits for singular perturbation problems. George C. Marshall Space Flight Center, 1993.

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4

Freidman, M. J. Accurate computation and continuation of homoclinic and heteroclinic orbits for singular perturbation problems. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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5

Lindquist, Dana R. Computation of unsteady transonic flowfields using shock capturing and the linear perturbation Euler equations. Gas Turbine Laboratory, Massachusetts Institute of Technology, 1991.

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6

C, Monteiro A., and United States. National Aeronautics and Space Administration., eds. Accurate computation and continuation of homoclinic and heteroclinic orbits for singular perturbation problems: Preliminary technical report for the period February 22, 1990, through October 21, 1992. Research Institute, University of Alabama in Huntsville, 1992.

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7

Stanley, Turner Michael, Fermi National Accelerator Laboratory, and United States. National Aeronautics and Space Administration., eds. Second-order reconstruction of the inflationary potential. Fermi National Accelerator Laboratory, 1994.

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8

Stanley, Turner Michael, Fermi National Accelerator Laboratory, and United States. National Aeronautics and Space Administration., eds. Second-order reconstruction of the inflationary potential. Fermi National Accelerator Laboratory, 1994.

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9

Stanley, Turner Michael, Fermi National Accelerator Laboratory, and United States. National Aeronautics and Space Administration., eds. Second-order reconstruction of the inflationary potential. Fermi National Accelerator Laboratory, 1994.

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10

Meelan, Choudhari, and Langley Research Center, eds. Multiple scales approach to weakly nonparallel and curvature effects: Details for the novice. National Aeronautics and Space Administration, Langley Research Center, 1995.

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11

Meelan, Choudhari, and Langley Research Center, eds. Multiple scales approach to weakly nonparallel and curvature effects: Details for the novice. National Aeronautics and Space Administration, Langley Research Center, 1995.

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12

(Markus), Quandt M., Weigel H. (Herbert), and SpringerLink (Online service), eds. Spectral methods in quantum field theory. Springer, 2009.

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13

Max-Planck-Institut. Combinatorics and physics: Mini-Workshop on Renormalization, December 15-16, 2006, Max Planck Institut für Mathematik, Bonn, Germany : Conference on Combinatorics and Physics, March 19-23, 2007, Max Planck Institut für Mathematik, Bonn, Germany. Edited by Ebrahimi-Fard Kurusch 1973-, Marcolli Matilde, Suijlekom, Walter D. van., 1978-, Max-Planck-Institut für Mathematik, and Conference on Combinatorics and Physics (2007 : Max Planck Institut für Mathematik). American Mathematical Society, 2011.

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14

United States. National Aeronautics and Space Administration., ed. An initial investigation into methods of computing transonic aerodynamic sensitivity coefficients: Semiannual progress report, January 1, 1988 - June 30, 1988. Aerospace Engineering Dept., Texas A&M University, 1988.

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15

United States. National Aeronautics and Space Administration., ed. An initial investigation into methods of computing transonic aerodynamic sensitivity coefficients: Semiannual progress report, January 1991 - June 1991. Aerospace Engineering Dept., Texas A&M University, 1991.

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16

United States. National Aeronautics and Space Administration., ed. An initial investigation into methods of computing transonic aerodynamic sensitivity coefficients: Semiannual progress report, July 1990 - December 1990. Aerospace Engineering Dept., Texas A&M University, 1991.

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17

Laine, Mikko, and Aleksi Vuorinen. Basics of Thermal Field Theory: A Tutorial on Perturbative Computations. Springer London, Limited, 2016.

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18

Laine, Mikko, and Aleksi Vuorinen. Basics of Thermal Field Theory: A Tutorial on Perturbative Computations. Springer, 2016.

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19

Kaminski, Marcin. Stochastic Perturbation Method for Computational Mechanics. Wiley & Sons, Incorporated, John, 2013.

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20

Kaminski, Marcin. Stochastic Perturbation Method for Computational Mechanics. Wiley & Sons, Incorporated, John, 2013.

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21

Kaminski, Marcin. Stochastic Perturbation Method for Computational Mechanics. Wiley & Sons, Incorporated, John, 2013.

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22

Kaminski, Marcin. Stochastic Perturbation Method for Computational Mechanics. Wiley & Sons, Incorporated, John, 2013.

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23

Kaminski, Marcin. Stochastic Perturbation Method for Computational Mechanics. Wiley & Sons, Limited, John, 2013.

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24

Vortex perturbation dynamics. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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25

The Stochastic Perturbation Method For Computational Mechanics. John Wiley & Sons, 2013.

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26

Konstantinov, M., D. Wei Gu, V. Mehrmann, and P. Petkov. Perturbation Theory for Matrix Equations (Studies in Computational Mathematics). JAI Press, 2003.

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27

Atallah, George Chalita. Perturbation analysis of forced nonlinear oscillations using symbolic and numerical computations. 1985.

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28

Miller, John J. H. Single Perturbation Problems in Chemical Physics: Analytic and Computational Methods. Wiley & Sons, Incorporated, John, 2007.

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29

Martin, Richard M., Lucia Reining, and David M. Ceperley. Interacting Electrons: Theory and Computational Approaches. Cambridge University Press, 2016.

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30

Martin, Richard M., Lucia Reining, and David M. Ceperley. Interacting Electrons: Theory and Computational Approaches. Cambridge University Press, 2016.

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31

Martin, Richard M., Lucia Reining, and David M. Ceperley. Interacting Electrons: Theory and Computational Approaches. Cambridge University Press, 2016.

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32

Berman, Gennady P. Perturbation Theory for Solid-state Quantum Computation With Many Quantum Bits. Rinton Press, 2005.

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33

Georgescu, A. Asymptotic Treatment of Differential Equations (Applied Mathematics and Mathematical Computation Series). Chapman & Hall/CRC, 1995.

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34

Miller, John J. H. Single Perturbation Problems in Chemical Physics Vol. 97: Analytic and Computational Methods. Wiley & Sons, Incorporated, John, 2009.

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35

Wiberg, Petter. Computation of value-at-risk: The fast convolution method, dimension reduction and perturbation theory. 2002.

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36

Random Perturbation Methods with Applications in Science and Engineering. Springer, 2012.

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37

Roos, Hans-Görg, Martin Stynes, and Lutz Tobiska. Numerical Methods for Singularly Perturbed Differential Equations: Convection-Diffusion and Flow Problems (Springer Series in Computational Mathematics). Springer, 1996.

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38

Miller, John J. H. Single Perturbation Problems in Chemical Physics: Analytic and Computational Methods, Volume 97, Advances in Chemical Physics. Wiley-Interscience, 1997.

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39

Juillard, Michel. Dynamic Stochastic General Equilibrium Models. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.4.

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Dynamic Stochastic General Equilibrium (DSGE) models have become popular in macroeconomics, but the combination of nonlinear microeconomic behavior of the agents and model-consistent expectations raise intricate computational issues; this chapter reviews solution methods and estimation of DSGE models. Perfect foresight deterministic models can easily be solved with a great degree of accuracy. In practice, medium-sized stochastic models can only be solved by local approximation or the perturbation approach. The Bayesian approach to estimation is privileged. It provides a convenient way to commu

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40

Autschbach, Jochen. Quantum Theory for Chemical Applications. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190920807.001.0001.

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‘Quantum Theory for Chemical Applications (QTCA): From basic concepts to advanced topics’ is an introduction to quantum theory for students and practicing researchers in chemistry, chemical engineering, or materials chemistry. The text is self-contained such that only knowledge of high school physics, college introductory calculus, and college general chemistry is required, and it features many worked-out exercises. QTCA places special emphasis on the orbital models that are central to chemical applications of quantum theory. QTCA treats the important basic topics that a quantum theory text fo

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41

Banasiak, Jacek, and Luisa Arlotti. Perturbations of Positive Semigroups with Applications (Springer Monographs in Mathematics). Springer, 2005.

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42

Perturbations of Positive Semigroups with Applications. Springer, 2006.

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43

Dyall, Kenneth G., and Knut Faegri. Introduction to Relativistic Quantum Chemistry. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195140866.001.0001.

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This book provides an introduction to the essentials of relativistic effects in quantum chemistry, and a reference work that collects all the major developments in this field. It is designed for the graduate student and the computational chemist with a good background in nonrelativistic theory. In addition to explaining the necessary theory in detail, at a level that the non-expert and the student should readily be able to follow, the book discusses the implementation of the theory and practicalities of its use in calculations. After a brief introduction to classical relativity and electromagn

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44

Numerical Methods for Singularly Perturbed Differential Equations: Convection-Diffusion and Flow Problems (Springer Series in Computational Mathematics). 2nd ed. Springer, 2007.

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45

An initial investigation into methods of computing transonic aerodynamic sensitivity coefficients: Final report. Aerospace Engineering Dept., Texas A&M University, Texas Engineering Experiment Station, 1994.

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46

An initial investigation into methods of computing transonic aerodynamic sensitivity coefficients: Semiannual progress report, January 1991 - June 1991. Aerospace Engineering Dept., Texas A&M University, 1991.

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47

An initial investigation into methods of computing transonic aerodynamic sensitivity coefficients: Semiannual progress report, July 1991- December 1991. Aerospace Engineering Dept., Texas A&M University, 1992.

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48

An initial investigation into methods of computing transonic aerodynamic sensitivity coefficients: Semiannual progress report, July 1, 1987-December 31, 1987. Aerospace Engineering Dept., Texas A&M University, Texas Engineering Experiment Station, 1988.

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49

An initial investigation into methods of computing transonic aerodynamic sensitivity coefficients: Final report. Aerospace Engineering Dept., Texas A&M University, Texas Engineering Experiment Station, 1994.

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50

Motives, quantum field theory, and pseudodifferential operators: Conference on Motives, Quantum Field Theory, and Pseudodifferential Operators, June 2-13, 2008, Boston University, Boston, Massachusetts. American Mathematical Society, 2010.

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