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Books on the topic 'Linearization method'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 September 2023

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1

Pshenichnyj, Boris N. The Linearization Method for Constrained Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-57918-9.

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2

Pshenichnyj, Boris N. The Linearization Method for Constrained Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994.

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3

The linearization method for constrained optimization. Berlin: Springer-Verlag, 1994.

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4

The linearization method in hydrodynamical stability theory. Providence, R.I: American Mathematical Society, 1989.

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5

Harold, Atkins, Keyes David, and Langley Research Center, eds. Parallel implementation of the discontinuous Galerkin method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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6

A, Muravyov Alexander, and Langley Research Center, eds. Equivalent linearization analysis of geometrically nonlinear random vibrations using commercial finite element codes. Hampton, VA: National Aeronautics and Space Administration, Langley Research Center, 2002.

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7

1964-, Hartley T. T., and United States. National Aeronautics and Space Administration., eds. A method for generating reduced order linear models of supersonic inlets: Under grant NAG3-1450. [Washington, DC: National Aeronautics and Space Administration, 1997.

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8

Socha, Leslaw. Linearization Methods for Stochastic Dynamic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72997-6.

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9

Roberts, J. B. Random vibration and statistical linearization. Chichester: Wiley, 1990.

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10

1952-, Bernhard Robert, and United States. National Aeronautics and Space Administration., eds. A study of methods to predict and measure the transmission of sound through the walls of light aircraft: Integration of certain singular boundary element integrals for applications in linear acoustics. [Washington, DC: National Aeronautics and Space Administration, 1985.

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11

1952-, Bernhard Robert, and United States. National Aeronautics and Space Administration, eds. A study of methods to predict and measure the transmission of sound through the walls of light aircraft: Integration of certain singular boundary element integrals for applications in linear acoustics. [Washington, DC: National Aeronautics and Space Administration, 1985.

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12

Babeshko, Lyudmila, Mihail Bich, and Irina Orlova. Econometrics and econometric modeling. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141216.

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Abstract:
The textbook covers a wide range of issues related to econometric modeling. Regression models are the core of econometric modeling, so the issues of their evaluation, testing of assumptions, adjustment and verification are given a significant place. Various aspects of multiple regression models are included: multicollinearity, dummy variables, and lag structure of variables. Methods of linearization and estimation of nonlinear models are considered. An apparatus for evaluating systems of simultaneous and apparently unrelated equations is presented. Attention is paid to time series models. Detailed solutions of the examples in Excel and the R software environment are included. Meets the requirements of the federal state educational standards of higher education of the latest generation. For undergraduate and graduate students studying in the field of "Economics", the curriculum of which includes the disciplines "Econometrics"," Econometric Modeling","Econometric research".
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13

The Linearization Method for Constrained Optimization. Springer, 2011.

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14

Simulescu, Ion. Finite element method analysis of nonlinear continua using the stochastic equivalent linearization technique. 1985.

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15

Parallel implementation of the discontinuous Galerkin method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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16

Socha, Leslaw. Linearization Methods for Stochastic Dynamic Systems. Springer, 2010.

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17

Socha, Leslaw. Linearization Methods for Stochastic Dynamic Systems. Springer London, Limited, 2007.

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18

Linearization Methods for Stochastic Dynamic Systems. Springer, 2008.

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19

Spanos, P. D., and J. B. Roberts. Random Vibration and Statistical Linearization (Dover Books on Engineering). Dover Publications, 2003.

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