Gotowe bibliografie tematyczne / Parameterizations

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Parameterizations”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 29 stycznia 2023

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Artykuły w czasopismach na temat "Parameterizations"

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Kuznetsova, Alexandra, Georgy Baydakov, Vladislav Papko, Alexander Kandaurov, Maxim Vdovin, Daniil Sergeev, and Yuliya Troitskaya. "Adjusting of Wind Input Source Term in WAVEWATCH III Model for the Middle-Sized Water Body on the Basis of the Field Experiment." Advances in Meteorology 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/8539127.

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Adjusting of wind input source term in numerical model WAVEWATCH III for the middle-sized water body is reported. For this purpose, the field experiment on Gorky Reservoir is carried out. Surface waves are measured along with the parameters of the airflow. The measurement of wind speed in close proximity to the water surface is performed. On the basis of the experimental results, the parameterization of the drag coefficient depending on the 10 m wind speed is proposed. This parameterization is used in WAVEWATCH III for the adjusting of the wind input source term within WAM 3 and Tolman and Cha
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Jin, Han-Gyul, Hyunho Lee, and Jong-Jin Baik. "A New Parameterization of the Accretion of Cloud Water by Graupel and Its Evaluation through Cloud and Precipitation Simulations." Journal of the Atmospheric Sciences 76, no. 2 (January 21, 2019): 381–400. http://dx.doi.org/10.1175/jas-d-18-0245.1.

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Abstract A new parameterization of the accretion of cloud water by graupel for use in bulk microphysics schemes is derived by analytically integrating the stochastic collection equation (SCE). In this parameterization, the collection efficiency between graupel particles and cloud droplets is expressed in a functional form using the data obtained from a particle trajectory model by a previous study. The new accretion parameterization is evaluated through box model simulations in comparison with a bin-based direct SCE solver and two previously developed accretion parameterizations that employ th
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Liu, Yangang, Peter H. Daum, R. McGraw, and R. Wood. "Parameterization of the Autoconversion Process. Part II: Generalization of Sundqvist-Type Parameterizations." Journal of the Atmospheric Sciences 63, no. 3 (March 1, 2006): 1103–9. http://dx.doi.org/10.1175/jas3675.1.

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Abstract Existing Sundqvist-type parameterizations, which only consider dependence of the autoconversion rate on cloud liquid water content, are generalized to explicitly account for the droplet concentration and relative dispersion of the cloud droplet size distribution as well. The generalized Sundqvist-type parameterization includes the more commonly used Kessler-type parameterization as a special case, unifying the two different types of parameterizations for the autoconversion rate. The generalized Sundqvist-type parameterization is identical with the Kessler-type parameterization present
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BAJAJ, CHANDRAJIT L., and ANDREW V. ROYAPPA. "FINITE REPRESENTATIONS OF REAL PARAMETRIC CURVES AND SURFACES." International Journal of Computational Geometry & Applications 05, no. 03 (September 1995): 313–26. http://dx.doi.org/10.1142/s0218195995000180.

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Global parameterizations of parametric algebraic curves or surfaces are defined over infinite parameter domains. Considering parameterizations in terms of rational functions that have real coefficients and vary over real parameter values, we show how to replace one global parameterization with a finite number of alternate bounded parameterizations, each defined over a fixed, bounded part of the real parameter domain space. The new bounded parameterizations together generate all real points of the old one and in particular the points corresponding to infinite parameter values in the old domain.
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Wang, Wenping, Barry Joe, and Ronald Goldman. "Rational Quadratic Parameterizations of Quadrics." International Journal of Computational Geometry & Applications 07, no. 06 (December 1997): 599–619. http://dx.doi.org/10.1142/s0218195997000375.

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Every irreducible quadric in E3 has infinitely many different rational quadratic parameterizations. These parameterizations and the relationships between them are investigated. It is shown that every faithful rational quadratic parameterization of a quadric can be generated by a stereographic projection from a point on the quadric, called the center of projection (COP). Two such parameterizations for the same quadric are related by a rational linear reparameterization if they have the same COP; otherwise they are related by a rational quadratic reparameterization. We also consider unfaithful p
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Lee, Hyunho, and Jong-Jin Baik. "A Physically Based Autoconversion Parameterization." Journal of the Atmospheric Sciences 74, no. 5 (May 1, 2017): 1599–616. http://dx.doi.org/10.1175/jas-d-16-0207.1.

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Abstract A physically based parameterization for the autoconversion is derived by solving the stochastic collection equation (SCE) with an approximated collection kernel. The collection kernel is constructed using the terminal velocity of cloud droplets and the collision efficiency between cloud droplets that is obtained using a particle trajectory model. The new parameterization proposed in this study is validated through comparison with results obtained by a bin-based direct SCE solver and other autoconversion parameterizations using a box model. The autoconversion-related time scale and dro
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Xu, Shibo, and Alexey Stovas. "A new parameterization for acoustic orthorhombic media." GEOPHYSICS 82, no. 6 (November 1, 2017): C229—C240. http://dx.doi.org/10.1190/geo2017-0215.1.

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We have defined a group of new parameterizations for P-wave in acoustic orthorhombic (ORT) media with three cross-term normal moveout velocities and three cross-term anellipticity parameters. The corresponding perturbation-based approximations for traveltime in ORT model are developed using the new parameterizations. The perturbation coefficients are computed by solving the eikonal equation in corresponding parameterization. Eight types of parameterization are defined based on the different elliptical background model and selection of anellipticity parameters. As the traveltime can be converte
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Song, Yong, Christopher K. Wikle, Christopher J. Anderson, and Steven A. Lack. "Bayesian Estimation of Stochastic Parameterizations in a Numerical Weather Forecasting Model." Monthly Weather Review 135, no. 12 (December 1, 2007): 4045–59. http://dx.doi.org/10.1175/2007mwr1928.1.

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Abstract Parameterizations in numerical models account for unresolved processes. These parameterizations are inherently difficult to construct and as such typically have notable imperfections. One approach to account for this uncertainty is through stochastic parameterizations. This paper describes a methodological approach whereby existing parameterizations provide the basis for a simple stochastic approach. More importantly, this paper describes systematically how one can “train” such parameterizations with observations. In particular, a stochastic trigger function has been implemented for c
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Pan, Wenyong, Kristopher A. Innanen, Yu Geng, and Junxiao Li. "Interparameter trade-off quantification for isotropic-elastic full-waveform inversion with various model parameterizations." GEOPHYSICS 84, no. 2 (March 1, 2019): R185—R206. http://dx.doi.org/10.1190/geo2017-0832.1.

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Simultaneous determination of multiple physical parameters using full-waveform inversion (FWI) suffers from interparameter trade-off difficulties. Analyzing the interparameter trade-offs in different model parameterizations of isotropic-elastic FWI, and thus determining the appropriate model parameterization, are critical for efficient inversion and obtaining reliable inverted models. Five different model parameterizations are considered and compared including velocity-density, modulus-density, impedance-density, and two velocity-impedance parameterizations. The scattering radiation patterns a
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De la Sen, M., and A. Ibeas. "Stability Results of a Class of Hybrid Systems under Switched Continuous-Time and Discrete-Time Control." Discrete Dynamics in Nature and Society 2009 (2009): 1–28. http://dx.doi.org/10.1155/2009/315713.

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This paper investigates the stability properties of a class of switched systems possessing several linear time-invariant parameterizations (or configurations) which are governed by a switching law. It is assumed that the parameterizations are stabilized individually via an appropriate linear state or output feedback stabilizing controller whose existence is first discussed. A main novelty with respect to previous research is that the various individual parameterizations might be continuous-time, discrete-time, or mixed so that the whole switched system is a hybrid continuous/discrete dynamic s
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Rozprawy doktorskie na temat "Parameterizations"

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Brück, Heiner Matthias. "Evaluation of statistical cloud parameterizations." Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-212714.

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This work is motivated by the question: how much complexity is appropriate for a cloud parameterization used in general circulation models (GCM). To approach this question, cloud parameterizations across the complexity range are explored using general circulation models and theoretical Monte-Carlo simulations. Their results are compared with high-resolution satellite observations and simulations that resolve the GCM subgrid-scale variability explicitly. A process-orientated evaluation is facilitated by GCM forecast simulations which reproduce the synoptic state. For this purpose novel methods
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Zagoruyko, Sergey. "Weight parameterizations in deep neural networks." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1129/document.

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Les réseaux de neurones multicouches ont été proposés pour la première fois il y a plus de trois décennies, et diverses architectures et paramétrages ont été explorés depuis. Récemment, les unités de traitement graphique ont permis une formation très efficace sur les réseaux neuronaux et ont permis de former des réseaux beaucoup plus grands sur des ensembles de données plus importants, ce qui a considérablement amélioré le rendement dans diverses tâches d'apprentissage supervisé. Cependant, la généralisation est encore loin du niveau humain, et il est difficile de comprendre sur quoi sont basé
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Moon, Todd K., and Krishna Kishor Noru. "WAVEFORM SIGNAL SHAPING USING WAVELET PARAMETERIZATIONS." International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/607582.

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International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>We explore the idea of matching a scaling function - the basic building block of a wavelet function - to a desired spectrum. This would allow the scaling function to be used as the signal pulse for a digital communication system that is matched to the channel, avoiding problems such as energy loss or noise amplification due to spectral nulls. An unconstrained parameterization of the scaling function coefficients represents the scaling functions. This parameterizat
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Hales, Jonathan Reid. "Divisors of Modular Parameterizations of Elliptic Curves." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8472.

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The modularity theorem implies that for every elliptic curve E /Q there exist rational maps from the modular curve X_0(N) to E, where N is the conductor of E. These maps may be expressed in terms of pairs of modular functions X(z) and Y(z) that satisfy the Weierstrass equation for E as well as a certain differential equation. Using these two relations, a recursive algorithm can be constructed to calculate the q - expansions of these parameterizations at any cusp. These functions are algebraic over Q(j(z)) and satisfy modular polynomials where each of the coefficient functions are rational func
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Katz, Jeremy. "Evaluation of Surface Layer Parameterizations Using In-Situ Observations." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2604.

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Appropriate calculation of surface turbulent fluxes between the atmosphere and the underlying surface is one of the major challenges in geosciences. In practice, the surface turbulent fluxes are estimated from the mean surface meteorological variables based on the bulk transfer model combined with Monnin-Obukhov Similarity (MOS) theory. Few studies have been done to examine the extent that to which this flux parameterization framework can be applied to different weather and surface conditions. A novel validation method is developed in this thesis research, which is applied to evaluate the surf
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Kim, Youngseob. "Air quality modeling : evaluation of chemical and meteorological parameterizations." Phd thesis, Université Paris-Est, 2011. http://pastel.archives-ouvertes.fr/pastel-00667777.

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The influence of chemical mechanisms and meteorological parameterizations on pollutant concentrations calculated with an air quality model is studied. The influence of the differences between two gas-phase chemical mechanisms on the formation of ozone and aerosols in Europe is low on average. For ozone, the large local differences are mainly due to the uncertainty associated with the kinetics of nitrogen monoxide (NO) oxidation reactions on the one hand and the representation of different pathways for the oxidation of aromatic compounds on the other hand. The aerosol concentrations are mainly
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Quaas, Johannes, and Philip Stier. "Satellite observations of convection and their implications for parameterizations." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-203263.

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Parameterization development and evaluation ideally takes a two-step approach (Lohmann et al., 2007). Insight into new processes, and initial parameterization formulation should be guided by theory, process-level observations (laboratory experiments or field studies) or, if these are unavailable, by high-resolution modelling. However, once implemented into large-scale atmospheric models, a thorough testing and evaluation is required in order to assure that the parameterization works satisfactorily for all weather situations and at the scales the model is applied to. Satellite observations are
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Griffin, Joshua Thomas. "Characterization of errors in various moisture roughness length parameterizations." Tallahassee, Florida : Florida State University, 2009. http://etd.lib.fsu.edu/theses/available/etd-11092009-112425/.

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Thesis (M.A.)--Florida State University, 2009.<br>Advisor: Mark A. Bourassa, Florida State University, College of Arts and Sciences, Dept. of Meteorology. Title and description from dissertation home page (viewed on Apr. 8, 2010). Document formatted into pages; contains viii, 30 pages. Includes bibliographical references.
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Wilkinson, Jonathan Mark. "Evaluating numerical model cloud parameterizations using radar and lidar simulation." Thesis, University of Reading, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440441.

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Solovev, Mikhail A. "Assessment of mesoscale eddy parameterizations for coarse resolution ocean models." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/58517.

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Thesis (Ph. D.)--Joint Program in Physical Oceanography (Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences; and the Woods Hole Oceanographic Institution), 1999.<br>Includes bibliographical references (p. 248-253).<br>Climate simulation with numerical oceanic models requires a proper parameterization scheme in order to represent the effects of unresolved mesoscale eddies. Even though a munber of schemes have been proposed and some have led to improvements in the simulation of the bulk climatological properties, the success of the parameterizations in rep
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Książki na temat "Parameterizations"

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1964-, Toro Tatiana, ed. Reifenberg parameterizations for sets with holes. Providence, R.I: American Mathematical Society, 2012.

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Cloud and precipitation microphysics: Principles and parameterizations. Cambridge: Cambridge University Press, 2009.

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Solovev, Mikhail A. Assessment of mesoscale eddy parameterizations for coarse resolution ocean models. Cambridge, Mass: Massachusetts Institute of Technology, 1999.

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Workshop on Cloud Microphysics Parameterizations in Global Atmospheric Circulation Models (1995 Kananaskis, Alta.). Workshop on Cloud Microphysics Parameterizations in Global Atmospheric Circulation Models: Kananaskis, Alberta, Canada, 23-25 May 1995. [Geneva, Switzerland: Joint Planning Staff for WCRP c/o World Meteorological Organization, 1995.

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Chassignet, Eric P., and Jacques Verron, eds. Ocean Modeling and Parameterization. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5096-5.

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Chassignet, Eric P. Ocean Modeling and Parameterization. Dordrecht: Springer Netherlands, 1998.

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Ganchev, Todor. Contemporary Methods for Speech Parameterization. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8447-0.

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Contemporary methods for speech parameterization. New York: Springer, 2011.

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Tripathi, Ram K. Universal parameterization of absorption cross sections. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Tripathi, Ratikanta. Universal parameterization of absorption cross sections. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Części książek na temat "Parameterizations"

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Morawiec, Adam. "Parameterizations." In Orientations and Rotations, 19–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09156-2_2.

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Poodiack, Robert D., and William E. Wood. "Parameterizations." In Springer Undergraduate Mathematics Series, 57–65. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13783-9_7.

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Misra, Neeldhara. "Alternate Parameterizations." In Encyclopedia of Algorithms, 64–67. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_786.

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Misra, Neeldhara. "Alternate Parameterizations." In Encyclopedia of Algorithms, 1–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27848-8_786-1.

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Poodiack, Robert D., and William E. Wood. "Analytic parameterizations." In Springer Undergraduate Mathematics Series, 221–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13783-9_20.

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Thiry, Louis, Long Li, and Etienne Mémin. "Modified (Hyper-)Viscosity for Coarse-Resolution Ocean Models." In Mathematics of Planet Earth, 273–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_17.

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AbstractWe present a simple parameterization for coarse-resolution ocean models. To replace computationally expensive high-resolution ocean models, we develop a computationally cheap parameterization for coarse-resolution models based solely on the modification of the viscosity term in advection equations. It is meant to reproduce the mean quantities like pressure, velocity, or vorticity computed from a high-resolution reference solution or using observations. We test this new parameterization on a double-gyre quasi-geostrophic model in the eddy-permitting regime. Our results show that the proposed scheme improves significantly the energy statistics and the intrinsic variability on the coarse mesh. This method shall serve as a deterministic basis model for coarse-resolution stochastic parameterizations in future works.
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Uliasz, Marek. "Subgrid-Scale Parameterizations." In Mesoscale Modeling of the Atmosphere, 13–19. Boston, MA: American Meteorological Society, 1994. http://dx.doi.org/10.1007/978-1-935704-12-6_2.

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Bruhn, Henning, Morgan Chopin, Felix Joos, and Oliver Schaudt. "Structural Parameterizations for Boxicity." In Graph-Theoretic Concepts in Computer Science, 117–28. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12340-0_10.

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Bailey, Barbara A., L. Mark Berliner, William Collins, Douglas W. Nychka, and Jeffrey T. Kiehl. "Neural Networks: Cloud Parameterizations." In Studies in the Atmospheric Sciences, 97–116. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-2112-8_7.

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Leclerc, Monique Y., and Thomas Foken. "Surface-Layer Properties and Parameterizations." In Footprints in Micrometeorology and Ecology, 21–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54545-0_2.

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Streszczenia konferencji na temat "Parameterizations"

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Bauchau, Olivier A., and Jou-Young Choi. "The Vectorial Parameterization of Motion." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48304.

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This paper presents a vectorial parameterization of motion that generalizes the vectorial parameterization of rotation. The Pl¨ucker coordinates of an arbitrary material line of a rigid body subjected to a screw motion are shown to transform by the action of a motion tensor. The proposed vectorial parameterization completely describes an arbitrary motion by means of two vectors that constitute an eigenvector of the motion tensor associated with its positive unit eigenvalue. The first vector is conveniently selected as the vectorial parameterization of rotation, and the second is related to the
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Eno, D. R., G. A. Young, and T. L. Sham. "A Unified View of Engineering Creep Parameters." In ASME 2008 Pressure Vessels and Piping Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/pvp2008-61129.

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Creep data are often analyzed using derived engineering parameters to correlate creep life (either time to rupture, or time to a specified strain) to applied stress and temperature. Commonly used formulations include Larson-Miller, Orr-Sherby-Dorn, Manson-Haferd, and Manson-Succop parameterizations. In this paper, it is shown that these parameterizations are all special cases of a common general framework based on a linear statistical model. Recognition of this fact allows for statistically efficient estimation of material model parameters and quantitative statistical comparisons among the var
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Praun, Emil, Wim Sweldens, and Peter Schröder. "Consistent mesh parameterizations." In the 28th annual conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/383259.383277.

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Lina, Jean-Marc, and Michel Mayrand. "Parameterizations for complex Daubechies wavelets." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Harold H. Szu. SPIE, 1994. http://dx.doi.org/10.1117/12.170087.

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Santos, Daniel Rodrigues, André Ricardo Fioravanti, Antonio Alberto Souza Santos, and Denis José Schiozer. "Investigation of Well Control Parameterization with Reduced Number of Variables Under Reservoir Uncertainties." In SPE Europec featured at 82nd EAGE Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205207-ms.

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Abstract Although several studies have shown that life-cycle well control strategies can significantly improve a field's economic return, the industry often relies on short-term strategies. One drawback of traditional parameterization, adopted for well control life-cycle numerical optimization, is that it often generates control strategies that yield impractical abrupt changes in production curves. Another issue, especially in cases with a large number of decision variables, is the local optima convergence related to the non-convex optimization problems. In this context, we proposed and compar
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van Hoeij, Mark. "Computing parameterizations of rational algebraic curves." In the international symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/190347.190415.

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Dong, Shen, and Michael Garland. "Iterative Methods for Improving Mesh Parameterizations." In IEEE International Conference on Shape Modeling and Applications 2007 (SMI '07). IEEE, 2007. http://dx.doi.org/10.1109/smi.2007.23.

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Grey, Zach, and Paul Constantine. "Active Subspaces of Airfoil Shape Parameterizations." In 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-0507.

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KENYON, RICHARD. "LIMIT SHAPES AND THEIR ANALYTIC PARAMETERIZATIONS." In International Congress of Mathematicians 2018. WORLD SCIENTIFIC, 2019. http://dx.doi.org/10.1142/9789813272880_0175.

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Wang, Yuh-Shyang, Nikolai Matni, and John C. Doyle. "System Level Parameterizations, constraints and synthesis." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963133.

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Raporty organizacyjne na temat "Parameterizations"

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Jackson, Artie. Modified-Dewan Optical Turbulence Parameterizations. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada432901.

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Teixeira, Joao. A Framework to Evaluate Unified Parameterizations for Seasonal Prediction: An LES/SCM Parameterization Test-Bed. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada574019.

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Teixeira, Joao. A Framework to Evaluate Unified Parameterizations for Seasonal Prediction: An LES/SCM Parameterization Test-Bed. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598084.

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Hadzhilazova, Mariana, Ivaïlo Mladenov Ivaïlo Mladenov, and Peter Djondjorov. New Parameterizations of the Cassinian Ovals. GIQ, 2012. http://dx.doi.org/10.7546/giq-12-2011-237-243.

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Goodman, Louis. Development of Turbulent Biological Closure Parameterizations. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada505108.

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Goodman, Louis. Development of Turbulent Biological Closure Parameterizations. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada598069.

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Lovell, Amy Elizabeth, Patrick Talou, Ionel Stetcu, Arvind Thanam Mohan, and Michael Chertkov. Constructing Global Fission Yield Parameterizations for CGMF. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1487353.

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Gregg, Michael C., and Jack Miller. Flow Over Difficult Bathymetry: Processes and Parameterizations. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada418045.

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Bruce Albrecht. Boundary Layer Cloudiness Parameterizations Using ARM Observations. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/830034.

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Gregg, Michael C., and Parker MacCready. Flow over Difficulty Bathymetry: Processes and Parameterizations. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada624733.

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