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Books on the topic 'Multi scale methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 December 2024

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1

Liu, Mou-Bin. Particle methods for multi-scale and multi-physics. New Jersey: World Scientific, 2016.

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2

Romeny, Bart M. ter Haar. Front-end vision and multi-scale image analysis: Multi-scale computer vision theory and applications, written in Mathematica. [Dordrecht]: Springer, 2008.

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3

Bart M. ter Haar Romeny. Front-end vision and multi-scale image analysis: Multi-scale computer vision theory and applications, written in Mathematica. [Dordrecht]: Springer, 2008.

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4

Bart M. ter Haar Romeny. Front-end vision and multi-scale image analysis: Multi-scale computer vision theory and applications, written in Mathematica. Dordrecht: Kluwer Academic, 2003.

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5

T, Dubois, Temam Roger, and Langley Research Center, eds. The nonlinear Galerkin method: A multi-scale method applied to the simulation of homogeneous turbulent flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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6

Jebahi, Mohamed, Frédéric Dau, Jean-Luc Charles, and Ivan Iordanoff. Discrete-Continuum Coupling Method to Simulate Highly Dynamic Multi-Scale Problems. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119115274.

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7

Skip. Marketing scales handbook: A compilation of multi-item measures. Chicago, Ill., USA: American Marketing Association, 1994.

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8

Center, Langley Research, ed. Analytic and computational perspectives of multi-scale theory for homogeneous, laminated composite, and sandwich beams and plates. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2012.

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9

Liu, M. B., and Gui-Rong Liu. Particle Methods for Multi-Scale and Multi-Physics. World Scientific Publishing Co Pte Ltd, 2015.

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10

Liu, M. B. Particle Methods for Multi-Scale and Multi-Physics. World Scientific Publishing Co Pte Ltd, 2015.

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11

Bruce, Duncan W., Dermot O'Hare, and Richard I. Walton. Multi Length-Scale Characterisation. Wiley & Sons, Incorporated, John, 2013.

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12

Bruce, Duncan W., Dermot O'Hare, and Richard I. Walton. Multi Length-Scale Characterisation. Wiley & Sons, Incorporated, John, 2013.

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13

Bruce, Duncan W., and Richard I. Walton. Multi Length-Scale Characterisation. Wiley & Sons, Incorporated, John, 2013.

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14

Bruce, Duncan W., Dermot O'Hare, and Richard I. Walton. Multi Length-Scale Characterisation: Inorganic Materials Series. Wiley & Sons, Limited, John, 2013.

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15

Chennubhotla, Srinivas Chakra. Spectral methods for multi-scale feature extraction and data clustering. 2004.

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16

Turner, Jean L. Using Statistics in Small-Scale Language Education Research: Focus on Non-Parametric Data. Taylor & Francis Group, 2014.

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17

Turner, Jean L. Using Statistics in Small-Scale Language Education Research: Focus on Non-Parametric Data. Taylor & Francis Group, 2014.

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18

Turner, Jean L. Using Statistics in Small-Scale Language Education Research: Focus on Non-Parametric Data. Taylor & Francis Group, 2014.

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19

Turner, Jean L. Using Statistics in Small-Scale Language Education Research: Focus on Non-Parametric Data. Taylor & Francis Group, 2014.

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20

Turner, Jean L. Using Statistics in Small-Scale Language Education Research: Focus on Non-Parametric Data. Taylor & Francis Group, 2014.

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21

Using Statistics in Small-Scale Language Education Research: Focus on Non-Parametric Data. Taylor & Francis Group, 2014.

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22

Using Statistics in Small-Scale Language Education Research: Focus on Non-Parametric Data. Routledge, 2014.

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23

Morosanu, Gabriela Adina. La dynamique hydro-sédimentaire du bassin de la rivière Jiu : approche systémique et multi-échelle. Editura Universitara, 2021. http://dx.doi.org/10.5682/9786062812034.

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The present book, titled “The Hydro-sedimentary dynamics of the Jiu River Watershed. A systemic and multi-scale approach” sets about to investigate the dynamics of liquid and solid flows in a challenging watershed represented by the Jiu River Basin. The Jiu River (with a length of 339 km) is one of the main tributaries of the Danube in its Romanian sector, and its watershed stretches over an area of 10,080 km2, in SW Romania. Jiu River Basin is defined by complex geographical features, determined by a variety of natural and socio-economic factors. From an economic standpoint, the element that makes Jiu’s watershed stand out among other comparable rivers is the presence and exploitation of coal in its upper sector (bituminous coal) and middle sector (lignite), as these activities have left their mark on the quality of the water and the quantity and origins of fine sediments. In this study, we relied upon the existence of coal resources in order to investigate the hydro-sedimentary dynamics in the Jiu River Basin and identify the fine sediment sources, by performing an analysis of coal particles found in the fine sediments, which was carried out through different laboratory methods.
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24

Neto, Eduardo A. de Souza, Miguel Vaz Junior, and Pablo A. Munoz-Rojas. Advanced Computational Materials Modeling: From Classical to Multi-Scale Techniques. Wiley & Sons, Incorporated, John, 2011.

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25

Neto, Eduardo A. de Souza, Miguel Vaz Junior, and Pablo A. Munoz-Rojas. Advanced Computational Materials Modeling: From Classical to Multi-Scale Techniques. Wiley & Sons, Incorporated, John, 2011.

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26

Neto, Eduardo A. de Souza, Miguel Vaz Junior, and Pablo A. Munoz-Rojas. Advanced Computational Materials Modeling: From Classical to Multi-Scale Techniques. Wiley & Sons, Limited, John, 2010.

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27

Eduardo A. de Souza Neto, Miguel Vaz Junior, and Pablo A. Munoz-Rojas. Advanced Computational Materials Modeling: From Classical to Multi-Scale Techniques. Wiley & Sons, Incorporated, John, 2011.

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28

Rasband, Judith, Elizabeth Liechty, and Della Pottberg-Steineckert. Fitting & Pattern Alteration. 4th ed. Bloomsbury Publishing Inc, 2024. http://dx.doi.org/10.5040/9781501377266.

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Fitting and Pattern Alteration: A Multi-Method Approach to the Art of Style Selection, Fitting, and Alteration, Fourth Edition, shows readers how to recognize, evaluate, and correct fit for a variety of body types, sizes, for women, men, and children. This comprehensive guide presents proven methods of style selection, fitting, and alteration. The authors use a multi-level approach that is both logical and easy to follow, and each procedure is clearly identified and fully illustrated with a second color added to clarify the procedure and show directional measuring. Each figure is drawn to scale ensuring consistency and accuracy. The cause for the fitting problem is clearly identified and explained--giving readers the why behind each fitting procedure. Highlights of this edition include discussions of sustainable practices, body diversity, and now includes examples for menswear and childrenswear.
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29

Skip. Marketing Scales Handbook: A Compilation of Multi-item Measures. South-Western Educational Publishing, 2006.

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30

National Aeronautics and Space Administration (NASA) Staff. Nonlinear Galerkin Method: A Multi-Scale Method Applied to the Simulation of Homogeneous Turbulent Flows. Independently Published, 2018.

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31

Ghosh, Somnath. Micromechanical Analysis and Multi-Scale Modeling Using the Voronoi Cell Finite Element Method. Taylor & Francis Group, 2018.

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32

Ghosh, Somnath. Micromechanical Analysis and Multi-Scale Modeling Using the Voronoi Cell Finite Element Method. Taylor & Francis Group, 2011.

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33

Ghosh, Somnath. Micromechanical Analysis and Multi-Scale Modeling Using the Voronoi Cell Finite Element Method. Taylor & Francis Group, 2011.

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34

Ghosh, Somnath. Micromechanical Analysis and Multi-Scale Modeling Using the Voronoi Cell Finite Element Method. Taylor & Francis Group, 2011.

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35

Micromechanical analysis and multi-scale modeling using the Voronoi cell finite element method. Boca Raton, FL: CRC Press, 2011.

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36

Low Choy, Samantha, Justine Murray, Allan James, and Kerrie Mengersen. Combining monitoring data and computer model output in assessing environmental exposure. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.18.

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This article discusses an approach that combines monitoring data and computer model outputs for environmental exposure assessment. It describes the application of Bayesian data fusion methods using spatial Gaussian process models in studies of weekly wet deposition data for 2001 from 120 sites monitored by the US National Atmospheric Deposition Program (NADP) in the eastern United States. The article first provides an overview of environmental computer models, with a focus on the CMAQ (Community Multi-Scale Air Quality) Eta forecast model, before considering some algorithmic and pseudo-statistical approaches in weather prediction. It then reviews current state of the art fusion methods for environmental data analysis and introduces a non-dynamic downscaling approach. The static version of the dynamic spatial model is used to analyse the NADP weekly wet deposition data.
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37

Sypniewska-Kamińska, Grażyna, Jan Awrejcewicz, and Roman Starosta. Asymptotic Multiple Scale Method in Time Domain: Multi-Degree-Of-Freedom Stationary and Nonstationary Dynamics. Taylor & Francis Group, 2022.

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38

Sypniewska-Kaminska, Grazyna, J. Awrejcewicz, and Roman Starosta. Asymptotic Multiple Scale Method in Time Domain: Multi-Degree-Of-Freedom Stationary and Nonstationary Dynamics. CRC Press LLC, 2022.

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39

Sypniewska-Kamińska, Grażyna, Jan Awrejcewicz, and Roman Starosta. Asymptotic Multiple Scale Method in Time Domain: Multi-Degree-Of-Freedom Stationary and Nonstationary Dynamics. Taylor & Francis Group, 2022.

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40

Sypniewska-Kamińska, Grażyna, Jan Awrejcewicz, and Roman Starosta. Asymptotic Multiple Scale Method in Time Domain: Multi-Degree-Of-Freedom Stationary and Nonstationary Dynamics. Taylor & Francis Group, 2022.

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41

Handbook of Metrics for Research in Operations Management: Multi-item Measurement Scales and Objective Items. Sage Publications, Inc, 2007.

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42

Berger, Armin. Validating Analytic Rating Scales: A Multi-Method Approach to Scaling Descriptors for Assessing Academic Speaking. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2015.

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43

Berger, Armin. Validating Analytic Rating Scales: A Multi-Method Approach to Scaling Descriptors for Assessing Academic Speaking. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2015.

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44

Berger, Armin. Validating Analytic Rating Scales: A Multi-Method Approach to Scaling Descriptors for Assessing Academic Speaking. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2015.

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45

Berger, Armin. Validating Analytic Rating Scales: A Multi-Method Approach to Scaling Descriptors for Assessing Academic Speaking. Lang GmbH, Internationaler Verlag der Wissenschaften, Peter, 2015.

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46

Berthod, Olivier, Michael Grothe-Hammer, and Jörg Sydow. Inter-organizational ethnography. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198796978.003.0011.

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Olivier Berthod, Michael Grothe-Hammer, and Jörg Sydow report an unconventional research design using multi-site ethnography. The aim is to study inter-organizational relationships, which are not well understood, and are not addressed by single-site ethnographic methods. Ethnography is a popular and established methodology in organization studies. However, organizing is a process that crosses boundaries, and the traditional approach that involves immersing the ethnographer in one defined social or organizational setting means that inter-organizational phenomena are overlooked. The challenge is to conduct fieldwork at multiple sites, across which inter-organizational relations may be conducted with varying degrees of formality, and be more or less visible. Inter-organizational ethnography thus builds on the combination of several techniques. Four techniques are explored: following boundary objects, capturing network enactments, using several investigators, and repeat interviews. The methodology is illustrated with a study of the network of eighty organizations that deal with large-scale crises and emergencies in Düsseldorf.
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47

Jebahi, Mohamed, Jean-Luc Charles, Ivan Iordanoff, and �d�ric Dau. Discrete-Continuum Coupling Method to Simulate Highly Dynamic Multi-scale Problems: Simulation of Laser-Induced Damage in Silica Glass, Volume 2. Wiley & Sons, Incorporated, John, 2015.

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48

Jebahi, Mohamed, Jean-Luc Charles, Ivan Iordanoff, and édéric Dau. Discrete-Continuum Coupling Method to Simulate Highly Dynamic Multi-scale Problems: Simulation of Laser-Induced Damage in Silica Glass, Volume 2. Wiley & Sons, Incorporated, John, 2015.

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49

Handbook of metrics for research in operations management: Multi-item measurement scales and objective items. Los Angeles: SAGE Publications, 2008.

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50

Zeitlin, Vladimir. Geophysical Fluid Dynamics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804338.001.0001.

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The book explains the key notions and fundamental processes in the dynamics of the fluid envelopes of the Earth (transposable to other planets), and methods of their analysis, from the unifying viewpoint of rotating shallow-water model (RSW). The model, in its one- or two-layer versions, plays a distinguished role in geophysical fluid dynamics, having been used for around a century for conceptual understanding of various phenomena, for elaboration of approaches and methods, to be applied later in more complete models, for development and testing of numerical codes and schemes of data assimilations, and many other purposes. Principles of modelling of large-scale atmospheric and oceanic flows, and corresponding approximations, are explained and it is shown how single- and multi-layer versions of RSW arise from the primitive equations by vertical averaging, and how further time-averaging produces celebrated quasi-geostrophic reductions of the model. Key concepts of geophysical fluid dynamics are exposed and interpreted in RSW terms, and fundamentals of vortex and wave dynamics are explained in Part 1 of the book, which is supplied with exercises and can be used as a textbook. Solutions of the problems are available at Editorial Office by request. In-depth treatment of dynamical processes, with special accent on the primordial process of geostrophic adjustment, on instabilities in geophysical flows, vortex and wave turbulence and on nonlinear wave interactions follows in Part 2. Recently arisen new approaches in, and applications of RSW, including moist-convective processes constitute Part 3.
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