Academic literature on the topic 'Taylor model'

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Journal articles on the topic "Taylor model"

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Foss, Donald J. "Janet Taylor Spence: A Model Role Model." Sex Roles 77, no. 11-12 (September 26, 2017): 751–56. http://dx.doi.org/10.1007/s11199-017-0840-1.

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Kuhlmann, H. "Model for Taylor-Couette flow." Physical Review A 32, no. 3 (September 1, 1985): 1703–7. http://dx.doi.org/10.1103/physreva.32.1703.

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Aref, Hassan, and Grétar Tryggvason. "Model of Rayleigh-Taylor Instability." Physical Review Letters 62, no. 7 (February 13, 1989): 749–52. http://dx.doi.org/10.1103/physrevlett.62.749.

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Kamchibekov, M. D. "Model of the taylor instability." Journal of Applied Mechanics and Technical Physics 26, no. 6 (1986): 788–93. http://dx.doi.org/10.1007/bf00919525.

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Journal, Baghdad Science. "ON NAIVE TAYLOR MODEL INTEGRATION METHOD." Baghdad Science Journal 6, no. 1 (March 1, 2009): 222–30. http://dx.doi.org/10.21123/bsj.6.1.222-230.

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Interval methods for verified integration of initial value problems (IVPs) for ODEs have been used for more than 40 years. For many classes of IVPs, these methods have the ability to compute guaranteed error bounds for the flow of an ODE, where traditional methods provide only approximations to a solution. Overestimation, however, is a potential drawback of verified methods. For some problems, the computed error bounds become overly pessimistic, or integration even breaks down. The dependency problem and the wrapping effect are particular sources of overestimations in interval computations. Berz (see [1]) and his co-workers have developed Taylor model methods, which extend interval arithmetic with symbolic computations. The latter is an effective tool for reducing both the dependency problem and the wrapping effect. By construction, Taylor model methods appear particularly suitable for integrating nonlinear ODEs. In this paper, we analyze Taylor model based integration of ODEs and compare Taylor model with traditional enclosure methods for IVPs for ODEs. More advanced Taylor model integration methods are discussed in the algorithm (1). For clarity, we summarize the major steps of the naive Taylor model method as algorithm 1.
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MIKELIĆ, ANDRO, and C. J. VAN DUIJN. "RIGOROUS DERIVATION OF A HYPERBOLIC MODEL FOR TAYLOR DISPERSION." Mathematical Models and Methods in Applied Sciences 21, no. 05 (May 2011): 1095–120. http://dx.doi.org/10.1142/s0218202510005264.

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In this paper, we upscale the classical convection-diffusion equation in a narrow slit. We suppose that the transport parameters are such that we are in Taylor's regime, i.e. we deal with dominant Péclet numbers. In contrast to the classical work of Taylor, we undertake a rigorous derivation of the upscaled hyperbolic dispersion equation. Hyperbolic effective models were proposed by several authors and our goal is to confirm rigorously the effective equations derived by Balakotaiah et al. in recent years using a formal Lyapounov–Schmidt reduction. Our analysis uses the Laplace transform in time and an anisotropic singular perturbation technique, the small characteristic parameter ε being the ratio between the thickness and the longitudinal observation length. The Péclet number is written as Cε-α, with α < 2. Hyperbolic effective model corresponds to a high Péclet number close to the threshold value when Taylor's regime turns to turbulent mixing and we characterize it by assuming 4/3 < α < 2. We prove that the difference between the dimensionless physical concentration and the effective concentration, calculated using the hyperbolic upscaled model, divided by ε2-α (the local Péclet number) converges strongly to zero in L2-norm. For Péclet numbers considered in this paper, the hyperbolic dispersion equation turns out to give a better approximation than the classical parabolic Taylor model.
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Ofer, D., U. Alon, D. Shvarts, R. L. McCrory, and C. P. Verdon. "Modal model for the nonlinear multimode Rayleigh–Taylor instability." Physics of Plasmas 3, no. 8 (August 1996): 3073–90. http://dx.doi.org/10.1063/1.871655.

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Estévez, A. "Slab model for Rayleigh–Taylor instability." Laser and Particle Beams 14, no. 3 (September 1996): 449–71. http://dx.doi.org/10.1017/s0263034600010144.

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A modelization of the Rayleigh–Taylor instability, in the context of inertial confinement fusion, is made by means of a planar slab model whose main features are a sharp ablation front separating the slab and the expanding corona, absorption of constant intensity laser light at a critical surface, profiles for background flow variables consistent with hydrodynamic equations, and heat conduction present in the expanding corona. A sharp ablation front assumption (density at the critical surface is much less than the slab density, ρc/ρs ≪ 1) supposes that the ablated mass is small, so the model is valid for thick targets. Two main regimes are modelized, subsonic and sonic absorption. The growth rate of the instability is obtained, and its variation with kD and kxc is studied (k = perturbation wavenumber; D = slab thickness; xc = ablation to critical surfaces distance). The model shows stabilization over the classical Rayleigh–Taylor growth rate (γ = √kg). The stabilization mechanism is based on heat conduction near the ablation front.
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Camacho, J. "Purely global model for Taylor dispersion." Physical Review E 48, no. 1 (July 1, 1993): 310–21. http://dx.doi.org/10.1103/physreve.48.310.

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Saville, D. A. "ELECTROHYDRODYNAMICS:The Taylor-Melcher Leaky Dielectric Model." Annual Review of Fluid Mechanics 29, no. 1 (January 1997): 27–64. http://dx.doi.org/10.1146/annurev.fluid.29.1.27.

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Dissertations / Theses on the topic "Taylor model"

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Taylor, Franci Lynne'. "American Indian women in higher education is Tinto's model applicable? /." Thesis, Montana State University, 2005. http://etd.lib.montana.edu/etd/2005/taylor/TaylorF0505.pdf.

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Guo, Longkai. "Numerical investigation of Taylor bubble and development of phase change model." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI095.

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Le mouvement d'une bulle d'azote de Taylor dans des solutions mixtes glycérol-eau s'élevant à travers différents types d'expansions et de contractions est étudié par une approche numérique. La procédure CFD est basée sur un solveur open-source Basilisk, qui adopte la méthode du volume de fluide (VOF) pour capturer l'interface gaz-liquide. Les résultats des expansions/contractions soudaines sont comparés aux résultats expérimentaux. Les résultats montrent que les simulations sont en bon accord avec les expériences. La vitesse de la bulle augmente dans les expansions soudaines et diminue dans les contractions soudaines. Le modèle de rupture des bulles est observé dans les expansions soudaines avec de grands taux d'expansion, et un modèle de blocage des bulles est observé dans les contractions soudaines avec de petits rapports de contraction. De plus, la contrainte de cisaillement de la paroi, l'épaisseur du film liquide et la pression dans les simulations sont étudiées pour comprendre l'hydrodynamique de la bulle de Taylor montant par expansions/contractions. Le processus transitoire de la bulle de Taylor passant par une expansion/contraction soudaine est ensuite analysé pour trois singularités différentes: graduelle, parabolique convexe et parabolique concave. Une caractéristique unique de la contraction concave parabolique est que la bulle de Taylor passe par la contraction même pour de petits rapports de contraction. De plus, un modèle de changement de phase est développé dans le solveur Basilisk. Afin d'utiliser la méthode VOF géométrique existante dans Basilisk, une méthode VOF géométrique générale en deux étapes est implémentée. Le flux de masse n'est pas calculé dans les cellules interfaciales mais transféré aux cellules voisines autour de l'interface. La condition aux limites de température saturée est imposée à l'interface par une méthode de cellule fantôme. Le modèle de changement de phase est validé par évaporation de gouttelettes avec un taux de transfert de masse constant, le problème de Stefan unidimensionnel, le problème d'aspiration de l'interface et un cas d'ébullition à film plan. Les résultats montrent un bon accord avec les solutions analytiques ou les corrélations
The motion of a nitrogen Taylor bubble in glycerol-water mixed solutions rising through different types of expansions and contractions is investigated by a numerical approach. The CFD procedure is based on an open-source solver Basilisk, which adopts the volume-of-fluid (VOF) method to capture the gas-liquid interface. The results of sudden expansions/contractions are compared with experimental results. The results show that the simulations are in good agreement with experiments. The bubble velocity increases in sudden expansions and decreases in sudden contractions. The bubble break-up pattern is observed in sudden expansions with large expansion ratios, and a bubble blocking pattern is found in sudden contractions with small contraction ratios. In addition, the wall shear stress, the liquid film thickness, and pressure in the simulations are studied to understand the hydrodynamics of the Taylor bubble rising through expansions/contractions. The transient process of the Taylor bubble passing through sudden expansion/contraction is further analyzed for three different singularities: gradual, parabolic convex and parabolic concave. A unique feature in parabolic concave contraction is that the Taylor bubble passes through the contraction even for small contraction ratios. Moreover, a phase change model is developed in the Basilisk solver. In order to use the existed geometric VOF method in Basilisk, a general two-step geometric VOF method is implemented. Mass flux is calculated not in the interfacial cells but transferred to the neighboring cells around the interface. The saturated temperature boundary condition is imposed at the interface by a ghost cell method. The phase change model is validated by droplet evaporation with a constant mass transfer rate, the one-dimensional Stefan problem, the sucking interface problem, and a planar film boiling case. The results show good agreement with analytical solutions or correlations
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Ortega, Thais Andrea. "Grandes conjuntos de dados, modelo de fatores e a condução da política monetária no Brasil." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/12/12138/tde-19112005-155423/.

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Atualmente há uma quantidade considerável de informação sobre o comportamento da economia à disposição da autoridade monetária, cuja decisão é provavelmente baseada nesse grande conjunto de dados. Entretanto, grande parte das análises empíricas de política monetária é baseada em modelos de pequena escala, e o problema de variáveis omitidas pode ser relevante. Uma literatura mais recente mostrou que grandes conjuntos de séries macroeconômicas podem ser modelados usando fatores dinâmicos, que são considerados um resumo da informação contida nos dados. Neste trabalho combinamos os fatores extraídos de 178 séries de tempo com os modelos tradicionais de pequena escala para analisar a política monetária no Brasil. Os fatores estimados são usados como instrumentos em regras de Taylor forward looking e como regressores adicionais em VAR´s. A informação extraída de grandes conjuntos de dados mostrou-se bem útil na análise empírica da política monetária.
Nowadays there is a considerable amount of information on the behavior of the economy available and central bankers can be expected to base their decisions on this very large information set. Nevertheless, most of the empirical analysis of monetary policy has been based on small scale models, and omitted information can be a relevant problem. Recent time-series techniques have shown that large datasets can be modeled using dynamic factors, which are considered a summary of the information in the data. In this work we combine the factors extracted from 178 time series with more traditional small scale models to analyze monetary policy in Brazil. The estimated factors are used as instruments in forward looking Taylor rules and as additional regressors in VAR´s. The information extracted from large datasets turns out to be quite useful for the empirical analysis of monetary policy.
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Bechyňák, Petr. "Modely s racionálním očekáváním." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-1680.

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Práce popisuje vývoj konceptu mekonomického očekávání od extrapolativního, přes adaptivní až po racionální, včetně modelů, v nichž byla tato očekávání použita. V druhé části je odvozen a popsán model, využívající právě racionální očekávání. Tento agregovaný makroekonomický model je pak aplikován na prostředí ČR. Je zde testován i samotný předpoklad racionálního očekávání, což je myšlenka novější, než samotný model.
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Suh, Jeong Eui. "Two essays on monetary policy under the Taylor rule." Texas A&M University, 2004. http://hdl.handle.net/1969.1/2748.

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In this dissertation, two questions concerning monetary policy under the Taylor rule have been addressed. The first question is on, under the Taylor rule, whether a central bank should be responsible for both bank supervision and monetary policy or whether the two tasks should be exercised by separate institutions. This is the main focus of Chapter I. The second question is on whether the Taylor rule plays an important role in explaining modern business cycles in the United States. The second question has been covered by Chapter II. The implications of the first chapter can be summarized as follows: (i) it is inevitable for the central bank to have a systematic error in conducting monetary policy when the central bank does not have a bank supervisory role; (ii) without a bank supervisory role, the effectiveness of monetary policy cannot be guaranteed; (iii) because of the existence of conflict of interests, giving a bank supervisory role to the central bank does not guarantee the effectiveness of monetary policy, either; (iv) the way of setting up another government agency, bank regulator, and making the central bank and the regulator cooperate each other does not guarantee the effectiveness of monetary policy because, in this way, the systematic error in conducting monetary policy cannot be eliminated; (v) in the view of social welfare, not in the view of the effectiveness of monetary policy, it is better for the central bank to keep the whole responsibility or at least a partial responsibility on bank supervision. In the second chapter, we examined the effect of a technology shock and a money shock in the context of an RBC model incorporating the Taylor rule as the Fed??s monetary policy. One thing significantly different from other researches on this topic is the way the Taylor rule is introduced in the model. In this chapter, the Taylor rule is introduced by considering the relationship among the Fisher equation, Euler equation and the Taylor rule explicitly in the dynamic system of the relevant RBC model. With this approach, it has been shown that, even in a flexible-price environment, the two major failures in RBC models with money can be resolved. Under the Taylor rule, the correlation between output and inflation appears to be positive and the response of our model economy to a shock is persistent. Furthermore, the possibility of an existing liquidity effect is found. These results imply that the Taylor rule does play a key role in explaining business cycles in the United States.
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Alqatari, Samar(Samar Ali A. ). "Reduced-dimension model for the Rayleigh-Taylor instability in a Hele-Shaw cell." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122316.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 93-94).
In this thesis we present a reduced-dimension model for the density-driven hydrodynamic Rayleigh-Taylor instability. We motivate the project with experimental findings of a little-understood stabilizing effect of geometry and deviations of measured instability wavelength from theoretical predictions. We present novel methods of data analysis for the experimental data. We then present a reduced-dimension model for the governing equations of the system, Stoke's equations and Fick's law, using polynomial trial functions. We discuss the results and conduct a linear stability analysis of the reduced system. We compare the model to a finite element simulation of the full governing equations using COMSOL, and propose an optimization framework for the basis functions of the reduced model. The reduced model helps in developing physical intuition for the behavior of the instability in this confined geometry, and understanding the effects of certain parameters that are difficult to study experimentally or by simulating the full equations.
by Samar Alqatari.
S.M.
S.M. Massachusetts Institute of Technology, Computation for Design and Optimization Program
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Kyle, I. Francis. "God's co-worker nineteenth-century "uncommon Christian" James Brainerd Taylor as a model for twenty-first-century evangelism /." Portland, OR : Western Seminary, 2009. http://dx.doi.org/10.2986/tren.002-0843.

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Taylor, Tish Frances. "A concessionaire model for food and beverage operations in South African National Parks / Tish Frances Taylor." Thesis, North-West University, 2012. http://hdl.handle.net/10394/9452.

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In recent years, protected areas have come under pressure due to the budget cuts of government. As a result, national parks have had to devise strategies by means of which they are able to generate additional revenue, in order to remain competitive. Such a strategy is the introduction of public-private partnerships, which allows the private sector to operate certain lodging facilities, restaurants and shops within parks. SANParks introduced their commercialization strategy in 2000 and overall it has been a success. However, despite earning much needed revenue; there are many complaints from tourists regarding the food and beverage concessions. Research regarding travel food consumption is in its infancy and is lacking in social science research. The importance of travel dining cannot be understated as it constitutes approximately 25% of tourist expenditure and as such contributes to the economic receipts of a destination. The importance of understanding the wants and needs of tourists with reference to food and beverage will enable destinations to realise the full economic potential of the tourism experience. It has been postulated that food consumption no longer forms part of the ‘supporting’ experience but is in fact a ‘peak’ tourist experience and as such can impair the total tourist experience if tourists are not satisfied with food and beverage consumption at a destination. SANParks does not offer a wide variety of food and beverage facilities and it is of utmost importance that the facilities that are available, cater to the requirements of tourists. The purpose of this study was to construct a model for concessionaire food and beverage operations at SANParks. This was done by targeting tourists who visit SANParks and inquiring as to their preferences with regard to restaurants and shop facilities. The questionnaire for the study was posted on SANParks’ website for a period of three weeks and consisted of four sections, namely a demographic section, a section related to food service brands, a section regarding restaurants and the last section regarding shop facilities. The data was analysed to provide information needed to construct a model for concessionaire food and beverage operations in SANParks. Data provided a demographic profile of tourists to SANParks, factors analysis provided restaurant and take-away factors, ANOVA and t-tests allowed comparisons of factors with demographics and lastly structural equation modelling which provided goodness of fit indices for the proposed model.
Thesis (PhD (Tourism Management))--North-West University, Potchefstroom Campus, 2013
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Khajotia, Burzin. "Cased based reasoning Taylor series model to predict corrosion rate in oil and gas wells and pipelines /." Ohio : Ohio University, 2007. http://www.ohiolink.edu/etd/view.cgi?ohiou1173828758.

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Khajotia, Burzin K. "CASE BASED REASONING – TAYLOR SERIES MODEL TO PREDICT CORROSION RATE IN OIL AND GAS WELLS AND PIPELINES." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1173828758.

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Books on the topic "Taylor model"

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Christiano, Lawrence J. Taylor rules in a limited participation model. Amsterdam: Nederlandsche Bank, 1999.

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Christiano, Lawrence J. Taylor rules in a limited participation model. Cambridge, MA: National Bureau of Economic Research, 1999.

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Armour, Jamie. Taylor rules in the quarterly projection model. Ottawa: Bank of Canada, 2002.

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Otto, S. R. The effect of crossflow on Taylor vortices: A model problem. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Ambler, Steve. Optimal Taylor rules in an estimated model of a small open economy: Steve Ambler, Ali Dib and Nooman Rebei. Ottawa: Bank of Canada, 2004.

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Davig, Troy. Generalizing the Taylor principle. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Ang, Andrew. No-arbitrage Taylor rules. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Davig, Troy. Generalizing the Taylor Principle. Kansas City [Mo.]: Research Division, Federal Reserve Bank of Kansas City, 2005.

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Cochrane, John H. Identification with Taylor Rules: A critical review. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Gallmeyer, Michael F. Taylor rules, McCallum rules and the term structure of interest rates. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Book chapters on the topic "Taylor model"

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Kafetsios, Konstantinos. "Taylor and Aspinwall Psychosocial Stress Model." In Encyclopedia of Quality of Life and Well-Being Research, 6591–93. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2983.

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Makino, Kyoko, and Martin Berz. "New Applications of Taylor Model Methods." In Automatic Differentiation of Algorithms, 359–64. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0075-5_43.

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Ivanov, Radoslav, Taylor Carpenter, James Weimer, Rajeev Alur, George Pappas, and Insup Lee. "Verisig 2.0: Verification of Neural Network Controllers Using Taylor Model Preconditioning." In Computer Aided Verification, 249–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_11.

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AbstractThis paper presents Verisig 2.0, a verification tool for closed-loop systems with neural network (NN) controllers. We focus on NNs with tanh/sigmoid activations and develop a Taylor-model-based reachability algorithm through Taylor model preconditioning and shrink wrapping. Furthermore, we provide a parallelized implementation that allows Verisig 2.0 to efficiently handle larger NNs than existing tools can. We provide an extensive evaluation over 10 benchmarks and compare Verisig 2.0 against three state-of-the-art verification tools. We show that Verisig 2.0 is both more accurate and faster, achieving speed-ups of up to 21x and 268x against different tools, respectively.
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Graziani, G., and R. Piva. "A Boundary Element Model for the Taylor-Couette Instability." In Boundary Element Methods in Engineering, 119–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84238-2_16.

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Joshi, Sumit, Yashodhan Kadam, and Sushrut Ranade. "A Parametric Study on the Taylor Analogy Breakup Model." In Lecture Notes in Mechanical Engineering, 223–30. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0698-4_24.

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Berz, Martin, and Kyoko Makino. "Performance of Taylor Model Methods for Validated Integration of ODEs." In Applied Parallel Computing. State of the Art in Scientific Computing, 65–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11558958_8.

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Corliss, George F., and Jun Yu. "Interval Testing Strategies Applied to COSY’s Interval and Taylor Model Arithmetic." In Numerical Software with Result Verification, 91–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24738-8_5.

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Chang, Xinxin, and Guohua He. "Application of Taylor Rules in China Based on Neo-Keynesian Model." In Communications in Computer and Information Science, 258–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23023-3_39.

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Beck, Margaret, Osman Chaudhary, and C. Eugene Wayne. "Analysis of Enhanced Diffusion in Taylor Dispersion via a Model Problem." In Hamiltonian Partial Differential Equations and Applications, 31–71. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2950-4_2.

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Ebisuzaki, T., T. Shigeyama, and K. Nomoto. "Rayleigh-Taylor Instability in Supernova 1987A: Dependence on the Presupernova Model." In Supernovae, 254–58. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-2988-9_35.

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Conference papers on the topic "Taylor model"

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Henninger, R. J. "Sensitivities for Taylor-Test Model Parameters." In Shock Compression of Condensed Matter - 2001: 12th APS Topical Conference. AIP, 2002. http://dx.doi.org/10.1063/1.1483539.

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Aghbolagh, Hassan Dehghani, Mohsen Zamani, and Zhiyong Chen. "Containment Control in Extended Taylor Model." In 2018 Australian & New Zealand Control Conference (ANZCC). IEEE, 2018. http://dx.doi.org/10.1109/anzcc.2018.8606556.

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Liiva, Kristjan, Paul B. Jackson, Grant O. Passmore, and Christoph M. Wintersteiger. "Compositional Taylor Model Based Validated Integration." In 2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2018. http://dx.doi.org/10.1109/synasc.2018.00020.

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Neher, Markus, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Symposium: Taylor Model Methods and Applications." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2. AIP, 2009. http://dx.doi.org/10.1063/1.3241326.

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Zhu, Yun-fang. "Fish-eye stereo based on the Taylor model." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5691642.

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Sun, Xiaoli, and Chen Xu. "Image Denoising and Inpainting Model Based on Taylor Expansion." In 2009 International Conference on Computational Intelligence and Security (CIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/cis.2009.120.

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Chen, Xin, Erika Abraham, and Sriram Sankaranarayanan. "Taylor Model Flowpipe Construction for Non-linear Hybrid Systems." In 2012 IEEE 33rd Real-Time Systems Symposium (RTSS). IEEE, 2012. http://dx.doi.org/10.1109/rtss.2012.70.

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Lin, Ray-Lee, Jhong-Yan Tsai, J. Marcos Alonso, and David Gacio. "Four-parameter Taylor series based light-emitting-diode model." In 2014 IEEE Industry Applications Society Annual Meeting. IEEE, 2014. http://dx.doi.org/10.1109/ias.2014.6978432.

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Haifang Wang, Yu Rong, Jinhua Cui, and Shengtao Liu. "Laminar cooling model of hot rolled based on Taylor formula." In 2010 International Conference on Computer Design and Applications (ICCDA 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccda.2010.5541396.

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Noaman, Salam Abdulkhaleq, Basim Najim Al-din Abed, and Sameera A'amer Abdul-Kader. "A New Mathematical Model to Improve Encryption Process Using Taylor Expansion." In 2020 1st. Information Technology To Enhance e-learning and Other Application (IT-ELA). IEEE, 2020. http://dx.doi.org/10.1109/it-ela50150.2020.9253084.

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Reports on the topic "Taylor model"

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Christiano, Lawrence, and Christopher Gust. Taylor Rules in a Limited Participation Model. Cambridge, MA: National Bureau of Economic Research, March 1999. http://dx.doi.org/10.3386/w7017.

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Ball, Justin R., and James B. Elliott. Simulating the Rayleigh-Taylor instability with the Ising model. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1113469.

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Estler, W. Tyler, Bruce R. Borchardt, Charles J. Fronczek, and Ralph C. Veale. Rail straightness metrology at the David W. Taylor model basin. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.ir.86-3443.

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Cook, William H. 2D Axisymmetric Lagrangian Solver for Taylor Impact with Johnson-Cook Constitutive Model. Vol. 1. Fort Belvoir, VA: Defense Technical Information Center, April 2000. http://dx.doi.org/10.21236/ada380834.

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Miles, A. Bubble merger model for the nonlinear Rayleigh-Taylor instability driven by a strong blast wave. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/15009821.

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Weerasooriya, Tusit, and Ronald A. Swanson. Experimental Evaluation of the Taylor-Type Polycrystal Model for the Finite Deformation of an FCC Metal (OFHC Copper). Fort Belvoir, VA: Defense Technical Information Center, May 1991. http://dx.doi.org/10.21236/ada238695.

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Boehm, Christoph, and Christopher House. Optimal Taylor Rules in New Keynesian Models. Cambridge, MA: National Bureau of Economic Research, June 2014. http://dx.doi.org/10.3386/w20237.

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Cloutman, L. D. Numerical Experiments with a Turbulent Single-Mode Rayleigh-Taylor Instability. Office of Scientific and Technical Information (OSTI), April 2000. http://dx.doi.org/10.2172/791953.

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Livescu, Daniel, Scott A. Wieland, and Scott Reckinger. Multi-modal investigations of compressible Rayleigh-Taylor instability in stratified media Project: w17_multirti. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1422979.

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Cloutman, L. D. Numerical Experiments Using a Convective Flux Limiter on a Turbulent Single-Mode Rayleigh-Taylor Instability. Office of Scientific and Technical Information (OSTI), July 2000. http://dx.doi.org/10.2172/793972.

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