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Gotowa bibliografia na temat „Residual based Grid Adaptation”

Autor: Grafiati

Data publikacji: 6 września 2023

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Artykuły w czasopismach na temat "Residual based Grid Adaptation"

Cui, Pengcheng, Bin Li, Jing Tang, Jiangtao Chen i Youqi Deng. "A modified adjoint-based grid adaptation and error correction method for unstructured grid". Modern Physics Letters B 32, nr 12n13 (10.05.2018): 1840020. http://dx.doi.org/10.1142/s0217984918400201.

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Grid adaptation is an important strategy to improve the accuracy of output functions (e.g. drag, lift, etc.) in computational fluid dynamics (CFD) analysis and design applications. This paper presents a modified robust grid adaptation and error correction method for reducing simulation errors in integral outputs. The procedure is based on discrete adjoint optimization theory in which the estimated global error of output functions can be directly related to the local residual error. According to this relationship, local residual error contribution can be used as an indicator in a grid adaptation strategy designed to generate refined grids for accurately estimating the output functions. This grid adaptation and error correction method is applied to subsonic and supersonic simulations around three-dimensional configurations. Numerical results demonstrate that the sensitive grids to output functions are detected and refined after grid adaptation, and the accuracy of output functions is obviously improved after error correction. The proposed grid adaptation and error correction method is shown to compare very favorably in terms of output accuracy and computational efficiency relative to the traditional featured-based grid adaptation.

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Yousuf, Mohamed, i N. Balakrishnan. "Residual-Based Grid Adaptation for Meshless LSFD-U Solver". AIAA Journal 57, nr 4 (kwiecień 2019): 1649–58. http://dx.doi.org/10.2514/1.j057633.

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Li, Li. "An Initial Investigation of Adjoint-Based Unstructured Grid Adaptation for Vortical Flow Simulations". Modelling and Simulation in Engineering 2011 (2011): 1–9. http://dx.doi.org/10.1155/2011/217326.

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A computational fluid dynamics (CFDs) method utilizing unstructured grid technology has been employed to compute vortical flow around a65°delta wing with sharp leading edge, which is specially known as the geometry of the second international vortex flow experiment (VFE-2). In VFE-2,65°delta wings with different leading edges had been broadly investigated by experiments, which resulted in a special database for CFDs codes validation. The emphasis of this paper is to investigate the effectiveness of an adjoint-base grid adaptation method for unstructured grid in capturing concentrated vortices generated at sharp edges or flow separation lines of lifting surfaces flying at high angles of attack. Earlier experiences in vortical flow simulations had indicated that the vortex behavior is highly dependent on the local grid resolution both on body surface and space. The adjoint-based adaptation method used here is hoped to save grid points with a reasonable grid resolution for vortical flow simulations. The basic idea is to construct a new adaptive sensor in a grid adaptation process with the intent to tell where the elements should be smaller or larger by introducing an adjoint formulation to relate the estimated functional error to local residual errors of both the primal and adjoint solutions.

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Wang, Shan, Ding Wang i Junren Sun. "Artificial Neural Network-Based Ionospheric Delay Correction Method for Satellite-Based Augmentation Systems". Remote Sensing 14, nr 3 (31.01.2022): 676. http://dx.doi.org/10.3390/rs14030676.

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Ionospheric delay is a critical error source in Global Navigation Satellite Systems (GNSSs) and a principal aspect of Satellite Based Augmentation System (SBAS) corrections. Grid Ionospheric Vertical Delays (GIVDs) are derived from the delays on Ionosphere Pierce Points (IPPs), which are observed by SBAS reference stations. SBAS master stations calculate ionospheric delay corrections by several methods, such as planar fit or Kriging. However, when there are not enough IPPs around an Ionosphere Grid Point (IGP) or the IPPs are unevenly distributed, the fitting accuracy of planar fit or Kriging is unsatisfactory. Moreover, the integrity bounds of Grid Ionospheric Vertical Errors (GIVEs) are overly conservative. Since Artificial Neural Networks (ANNs) are widely used in ionospheric research due to their self-adaptation, parallelism, non-linearity, robustness, and learnability, the ANN method for GIVD and GIVE derivation is proposed in this article. Networks are separately trained for IGPs, and five years of historical data are applied on network training. Principal Component Analysis (PCA) is applied for dimensionality reduction of geomagnetic and solar indices, which is employed as a network input feature. Furthermore, the GIVE algorithm of the ANN method is derived based on the distribution of the residual random variable. Finally, experiments are conducted on 12 IGPs over the East China region. Under normal ionospheric conditions, compared with the planar fit and Kriging methods, the residual reduction of the ANN method is approximately 15%. The ANN method fits the ionospheric delay residual error better. The percentage of GIVE availability under 2.7 m increases at least 25 points in comparison to Kriging. Under disturbed conditions, due to a lack of training samples, the ANN method is incompetent compared with planar fit or Kriging.

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Grigorov, Serhii M., Anton K. Khudyk i Iryna S. Sukhina. "APPLIANCE OF CAD / CAM MODELING IN PROSTHETICS OF BONE DEFECTS OF FACIAL BONES". Wiadomości Lekarskie 74, nr 6 (2021): 1469–74. http://dx.doi.org/10.36740/wlek202106133.

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The aim: Improving the ability to restore the shape and function of the bones of the maxillofacial area through the use of their own techniques. Materials and methods: Materials and methods: This research was carry out on the basis of the Department of Surgical Dentistry and Maxillofacial Surgery of Kharkov National Medical University in the Department of Head and Neck Surgery, Kharkov “Regional Clinical Hospital” (2018-2020 years). Examination and treatment of 26 patients, aged from 19 to 55 years, who needed reconstructive surgery to restore the anatomical shape, integrity and function of the maxilla or mandibular jaw. Results: All patients were treated according to the developed method (utility model patent № 145754 “Method of treating traumatic fractures of the maxillofacial area in adults using bone osteosynthesis 3D modeled titanium mini plates”), which consists in 3D modeling, based on previously performed computed tomography, and exploitation individually modeled titanium mini grids and titanium endoprostheses. The experience of this technique shown the advantage of the proposed method not only in the correction of traumatic defects, but also defects of the jaw bones that occur due to the removal of bulky neoplasms. Conclusions: Individual 3D simulated mini grids / plates and endoprostheses, according to the study provide maximum adaptation and restoration of anatomical shape, relief of jaws, their integrity and contour, provide prevention of pathological fractures by stabilizing residual bone tissue (titanium mini grids) serves as a carcass , provide prevention of prolapse (germination) of soft tissues in the area of postoperative bone defect (mini grid does not allow soft tissues to germinate in the area of postoperative bone defect on the outside), which improves functional and cosmetic results. Thus, our proposed method of osteosynthesis using 3D simulated titanium miniplates can be recommended for use in clinical practice.

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Christodoulou, George C., Arthanassios E. Kouloumbis i Alice O. Aza. "2 - D CIRCULATION IN THE SARONIC GULF". Coastal Engineering Proceedings 1, nr 20 (29.01.1986): 182. http://dx.doi.org/10.9753/icce.v20.182.

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The paper refers to mathematical modeling of the 2-D hydrodynamic circulation in the Saronic Gulf, in Greece. The finite element method is followed to evaluate the flow behaviour. Two grids are employed, a coarse one for initial model adaptation and a finer one for a more detailed study of circulation patterns. Actual tide data are obtained at the boundary of the domain and a typical compound tide is introduced; however residual tidal currents are found to be negligible. Wind-generated flow fields under several prevailing wind directions are determined and their comparison to qualitative field evidence is satisfactory. Furthermore, a possible surface tilt along the open boundary associated with large scale circulation in the Aegean Sea, is studied and shown to produce, significant motion in the Gulf. Based on circulation patterns obtained, preliminary estimates of dispersion from a proposed sea outfall for Athens sewage can be made. Further work proceeds towards quantitative verification of the model in connection with the proper description of forcing mechanisms and their superposition.

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Wang, Feiyan, Zhengyong Ren i Lihong Zhao. "A goal-oriented adaptive finite-element approach for 3-D marine controlled-source electromagnetic problems with general electrical anisotropy". Geophysical Journal International 229, nr 1 (30.11.2021): 439–58. http://dx.doi.org/10.1093/gji/ggab485.

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SUMMARY We present a goal-oriented adaptive finite-element algorithm for accurately modelling marine controlled-source electromagnetic responses in 3-D media with general electrical anisotropy. We formulate the primal boundary value problem in terms of the total electric field for general applications. Following the goal-oriented adaptivity concept, the dual problem is derived from a functional designed to measure the data errors of interest in light of the data quality. We approximate the solutions to the primal and dual formulations using the edge finite-element method on tetrahedral grids for a flexible treatment of complex geological settings and survey geometries. To control the mesh adaptation, we develop a reliable residual-type a posteriori error estimation that takes account of the volumetric residual and the numerical discontinuity of the normal component of the electrical current density and that of the tangential component of the magnetic field with respect to non-smooth and anisotropic coefficients. We demonstrate the proposed modelling solver on 1-D MCSEM scenarios with varying degrees of electrical anisotropy. The comparison with goal-oriented adaptivity results obtained from other three commonly used error indicators shows that our approach is robust in dealing with both moderate and strong electrical anisotropy. After that, we constructed a 3-D hydrocarbon-bearing reservoir model with slope seafloor topography and tilted transverse isotropy in the background to examine our algorithm for the case of multiple sources. Finally, we implement a sensitivity analysis procedure to evaluate the resolution of the electrical anisotropy. The quantitative results indicate limitations and preferences of conventional MCSEM data in resolving anisotropic models, providing fundamental insights for inversion based data interpretation.

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Cui, Pengcheng, Yongqian Zheng, Peimin Xu, Bin Li, Mingsheng Ma i Guiyu Zhou. "The comparison of adjoint-based grid adaptation and feature-based grid adaptation method". Journal of Physics: Conference Series 2280, nr 1 (1.06.2022): 012003. http://dx.doi.org/10.1088/1742-6596/2280/1/012003.

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Abstract Grid adaption is a popular method to enhance the resolution of flow field and the precision of numerical simulation, which automatically optimizes the grid distribution instead of manual complicated work. There exist usually two grid adaptation methods, the feature based grid adaption and adjoint based grid adaption, the former focuses on shocks, vortexes and other features of flow field, and the latter focuses on lift, drag and other aerodynamic characteristics. The comparison of adjoint based grid adaption and feature based grid adaption method is investigated in this paper. Numerical simulations show that both feature adaption and adjoint adaption could improve the resolution of flow field and the precision of numerical simulation such as lift and drag. As for the flow features, the feature adaptation could capture the obvious shock waves and vortexes in the flow field, the adjoint adaptation, however, only captures the flow features that are contributory to the accuracy of aerodynamic characteristics. As for the aerodynamic characteristics, some shock waves and vortexes have little influences to the forces, so the feature adaptation is not efficient as adjoint adaptation, which could greatly improve the accuracy of aerodynamic characteristics.

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Tatsis, Vasileios A., i Konstantinos E. Parsopoulos. "Differential Evolution with Grid-Based Parameter Adaptation". Soft Computing 21, nr 8 (4.11.2015): 2105–27. http://dx.doi.org/10.1007/s00500-015-1911-2.

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Graf, U., P. Romstedt i W. Werner. "Use of a Dynamic Grid Adaptation in the Asymmetric Weighted Residual Method". Nuclear Science and Engineering 92, nr 1 (styczeń 1986): 66–70. http://dx.doi.org/10.13182/nse86-a17866.

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Rozprawy doktorskie na temat "Residual based Grid Adaptation"

Edgel, Jared D. "An Adaptive Grid-Based All Hexahedral Meshing Algorithm Based on 2-Refinement". BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2241.

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Adaptive all-hexahedral meshing algorithms have many desirable features. These algorithms provide a mesh that is efficient for analysis by providing a high element density in specific locations, such as areas of high stress gradient or high curvature and reduced mesh density in other areas of less importance. In addition, inside-out hexahedral grid based schemes, using Cartesian structured grids for the base mesh, have shown great promise in accommodating automatic all-hexahedral algorithms. In these algorithms mesh refinement is generally used to capture geometric features. Unfortunately, most adaptive mesh generation algorithms employ a 3-refinement method. This method, although easy to employ, provides a mesh that is coarse in most areas and highly refined in other areas. Because a single refined hex is subdivided into 27 new hexes, regardless of the desired refinement, there is little control on mesh density. This paper will present an adaptive all-hexahedral grid-based meshing algorithm that employs a 2-refinement insertion method. 2-refinement is based on dividing a hex to be refined into eight new hexes. This allows greater control on mesh density which in turn increases computational efficiency.

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Boey, Edward. "Anisotropic Residual-Based Mesh Adaptation for Reaction-Diffusion Systems: Applications to Cardiac Electrophysiology". Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35614.

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Accurate numerical simulation of reaction-diffusion systems can come with a high cost. A system may be stiff, and solutions may exhibit sharp localized features that require fine grids and small time steps to properly resolve the physical phenomena they represent. The development of efficient methods is crucial to cut down the demands of computational resources. In this thesis we consider the use of adaptive space and time methods driven by a posteriori error estimation. The error estimators for the spatial discretization are built from a variety of sources: the residual of the partial differential equation (PDE) system, gradient recovery operators and interpolation estimates. The interpolation estimates are anisotropic, not relying on classical mesh regularity assumptions. The adapted mesh is therefore allowed to include elements elongated in specified directions, as dictated by the type of solution being approximated. This thesis proposes an element-based adaptation method to be used for a residual estimator. This method avoids the usual conversion of the estimator to a metric, and instead applies the estimator to directly control the local mesh modifications. We derive a new error estimator for the L^2-norm in the same anisotropic setting and adjust the element-based adaptation algorithm to the new estimator. This thesis considers two new adaptive finite element settings for reaction-diffusion problems. The first is the extension to a PDE setting of an estimator for the time discretization with the backward difference formula of order 2 (BDF2), based on an estimator for ordinary differential equation (ODE) problems. Coupled with the residual estimator, we apply a space-time adaptation method. The second is the derivation of anisotropic error estimates for the monodomain model from cardiac electrophysiology. This model couples a nonlinear parabolic PDE with an ODE and this setting presents challenges theoretically as well as numerically. In addition to theoretical considerations, numerical tests are performed throughout to assess the reliability and efficiency of the proposed error estimators and numerical methods.

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Balasubramanian, Ravishankar. "Adjoint-based error estimation and grid adaptation for functional outputs from CFD simulations". Diss., Mississippi State : Mississippi State University, 2005. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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Chen, Liang. "A grid-based middleware for processing distributed data streams". Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1157990530.

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Choudhary, Aniruddha. "Verification of Compressible and Incompressible Computational Fluid Dynamics Codes and Residual-based Mesh Adaptation". Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/51169.

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Code verification is the process of ensuring, to the degree possible, that there are no algorithm deficiencies and coding mistakes (bugs) in a scientific computing simulation. In this work, techniques are presented for performing code verification of boundary conditions commonly used in compressible and incompressible Computational Fluid Dynamics (CFD) codes. Using a compressible CFD code, this study assesses the subsonic inflow (isentropic and fixed-mass), subsonic outflow, supersonic outflow, no-slip wall (adiabatic and isothermal), and inviscid slip-wall. The use of simplified curved surfaces is proposed for easier generation of manufactured solutions during the verification of certain boundary conditions involving many constraints. To perform rigorous code verification, general grids with mixed cell types at the verified boundary are used. A novel approach is introduced to determine manufactured solutions for boundary condition verification when the velocity-field is constrained to be divergence-free during the simulation in an incompressible CFD code. Order of accuracy testing using the Method of Manufactured Solutions (MMS) is employed here for code verification of the major components of an open-source, multiphase flow code - MFIX. The presence of two-phase governing equations and a modified SIMPLE-based algorithm requiring divergence-free flows makes the selection of manufactured solutions more involved than for single-phase, compressible flows. Code verification is performed here on 2D and 3D, uniform and stretched meshes for incompressible, steady and unsteady, single-phase and two-phase flows using the two-fluid model of MFIX. In a CFD simulation, truncation error (TE) is the difference between the continuous governing equation and its discrete approximation. Since TE can be shown to be the local source term for the discretization error, TE is proposed as the criterion for determining which regions of the computational mesh should be refined/coarsened. For mesh modification, an error equidistribution strategy to perform r-refinement (i.e., mesh node relocation) is employed. This technique is applied to 1D and 2D inviscid flow problems where the exact (i.e., analytic) solution is available. For mesh adaptation based upon TE, about an order of magnitude improvement in discretization error levels is observed when compared with the uniform mesh.
Ph. D.

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Derlaga, Joseph Michael. "Application of Improved Truncation Error Estimation Techniques to Adjoint Based Error Estimation and Grid Adaptation". Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/54592.

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Numerical solutions obtained through the use of Computational Fluid Dynamics (CFD) are subject to discretization error, which is locally generated by truncation error. The discretization error is extremely difficult to properly estimate and this in turn leads to uncertainty over the quality of the numerical solutions obtained via CFD methods and the engineering functionals computed using these solutions. Adjoint error estimation techniques specifically seek to estimate the error in functionals, but are dependent upon accurate truncation error estimates. This work examines the application of new, single-grid, truncation error estimation procedures to the problem of adjoint error estimation for both the quasi-1D and 2D Euler equations. The new truncation error estimation techniques are based on local reconstructions of the computed solutions and comparisons are made for the quasi-1D study in order to determine the most appropriate solution variables to reconstruct as well as the most appropriate reconstruction method. In addition, comparisons are made between the single-grid truncation error estimates and methods based on uniformally refining or coarsening the underlying numerical mesh on which the computed solutions are obtained. A method based on an refined grid error estimate is shown to work well for a non-isentropic flow for the quasi-1D Euler equations, but all truncation error estimations methods ultimately result in over prediction of functional discretization error in the presence of a shock in 2D. Alternatives to adjoint methods, which can only estimate the error in a single functional for each adjoint solution obtained, are examined for the 2D Euler equations. The defection correction method and error transport equations are capable of locally improving the entire computed solution, allowing for error estimates in multiple functionals. It is found that all three functional discretization error estimates perform similarly for the same truncation error estimate, although the defect correction method is the most costly from a computational viewpoint. Comparisons are made between truncation error and adjoint weighted truncation error based adaptive indicators. For the quasi-1D Euler equations it is found that both methods are competitive, however the truncation error based method is cheaper as a separate adjoint solve is avoided. For the 2D Euler equations, the truncation error estimates on the adapted meshes suffer due to a lack of smooth grid transformations which are used in reconstructing the computed solutions. In order to complete this work, a new CFD code incorporating a variety of best practices from the field of Computer Science is developed as well as a new method of performing code verification using the method of manufactured solutions which is significantly easier to implement than traditional manufactured solution techniques.
Ph. D.

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Nouveau, Léo. "Adaptive residual based schemes for solving the penalized Navier Stokes equations with moving bodies : application to ice shedding trajectories". Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0410/document.

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La prédiction de mouvement de solide évoluant dans un fluide présente un réel intérêt pour des applications industrielles telle que l’accrétion de glace sur des surfaces aérodynamiques. Dans ce contexte, en considérant des systèmes de dégivrage, la prévision des trajectoire de glace est nécessaire pour éviter des risques de collision/ingestion de glace sur/dans des zones sensibles de l’avion. Ce type d’application soulève de nombreux challenges d’un point de vue numérique, en particulier concernant la génération/l’adaptation de maillage au cours du mouvement du solide dans le domaine. Pour gérer ces difficultés, dans cette étude, les solides sont définis de manière implicite via une fonction level set. Une méthode de type frontière immergée, appelée Pénalization, est utilisée pour imposer les conditions de bords. Pour améliorer la précision de l’interface, les équations sont résolues sur des maillages non structurés adaptatifs. Cela permet d’obtenir un raffinement proche des bords du solide et ainsi d’améliorer sa définition, permettant un meilleure impositions des conditions de bord. Pour économiser du temps de calcul, et éviter de coûteuses étapes de remaillage/interpolation, la stratégie adoptée pour les simulations instationnaires est d’utiliser une adaptation de maillage à connectivité constante, aussi appelée r-adaptation
The prediction of solid motion evolving in a fluid presents a real interest for engineering application such as ice accretion on aerodynamics bodies.In this context, considering de-icing systems, the ice shedding trajectory is needed to prevent the risk of collision/ingestion of the ice in/with some sensitive part of the aircraft. This application raises many challenges from a numerical point of view, especially concerning mesh generation/adaptation as the solid moves in the computational domain. To handle this issue, in this work the solids are known implicitly on the mesh via a level set function. An immersed boundary method, called penalization, is employed to impose the wall boundary conditions. To improve the resolution of these boundaries, the equations are solved on adaptive unstructured grids. This allows to have are finement close to the solid boundary and thus increases the solid definition,leading to a more accurate imposition of the wall conditions. To save computational time, and avoid costly remeshing/interpolation steps, the strategy chosen for unsteady simulations is to use a constant connectivity mesh adaptation,also known as r-adaptation

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Meyer, David, Achim Zeileis i Kurt Hornik. "The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd". Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2005. http://epub.wu.ac.at/480/1/document.pdf.

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This paper describes the `strucplot' framework for the visualization of multi-way contingency tables. Strucplot displays include hierarchical conditional plots such as mosaic, association, and sieve plots, and can be combined into more complex, specialized plots for visualizing conditional independence, GLMs, and the results of independence tests. The framework's modular design allows flexible customization of the plots' graphical appearance, including shading, labeling, spacing, and legend, by means of graphical appearance control (`grapcon') functions. The framework is provided by the R package vcd. (author's abstract)
Series: Research Report Series / Department of Statistics and Mathematics

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Hornik, Kurt, Achim Zeileis i David Meyer. "The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd". American Statistical Association, 2006. http://epub.wu.ac.at/3984/1/strucplot.pdf.

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This paper describes the "strucplot" framework for the visualization of multi-way contingency tables. Strucplot displays include hierarchical conditional plots such as mosaic, association, and sieve plots, and can be combined into more complex, specialized plots for visualizing conditional independence, GLMs, and the results of independence tests. The framework's modular design allows flexible customization of the plots' graphical appearance, including shading, labeling, spacing, and legend, by means of "graphical appearance control" functions. The framework is provided by the R package vcd.

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Patel, Sumit Kumar. "A Residual Based h-Adaptive Strategy Employing A Zero Mean Polynomial Reconstruction". Thesis, 2012. https://etd.iisc.ac.in/handle/2005/2515.

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This thesis deals with the development of a new adaptive algorithm for three-dimensional fluid flows based on a residual error estimator. The residual, known as the R –parameter has been successfully extended to three dimensions using a novel approach for arbitrary grid topologies. The computation of the residual error estimator in three dimensions is based on a least-squares based reconstruction and the order of accuracy of the latter is critical in obtaining a consistent estimate of the error. The R –parameter can become inconsistent on three–dimensional meshes depending on the grid quality. A Zero Mean Polynomial(ZMP) which is k–exact, and which preserves the mean has been used in this thesis to overcome the problem. It is demonstrated that the ZMP approach leads to a more accurate estimation of solution derivatives as opposed to the conventional polynomial based least-squares method. The ZMP approach is employed to compute the R –parameter which is the n used to derive the criteria for refinement and derefinement. Studies on three different complex test problems involving inviscid, laminar and turbulent flows demonstrate that the new adaptive algorithm is capable of detecting the sources of error efficiently and lead to accurate results independent of the grid topology.

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Książki na temat "Residual based Grid Adaptation"

Dietz, Laura J., Laura Mufson i Rebecca B. Weinberg. Family-based Interpersonal Psychotherapy for Depressed Preadolescents. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780190640033.001.0001.

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Family-based Interpersonal Psychotherapy (FB-IPT) for Depressed Preadolescents presents the rationale and basic principles for interpersonal psychotherapy (IPT) and for interpersonal psychotherapy for depressed adolescents (IPT-A), a developmental adaptation that is designed to treat adolescents, ages 12 to 18 years, with depression. The heart of this book introduces family-based interpersonal psychotherapy for depressed preadolescents (FB-IPT), a psychosocial treatment for preadolescent depression for children between 7 and 12 years. FB-IPT is conceptually rooted in an interpersonal model of depression and in developmental research on the antecedents of depression in youth. FB-IPT focuses on improving two domains of interpersonal impairment in depressed preadolescents—parent–child conflict and peer impairment—as a means to decrease preadolescents’ depressive symptoms. Stronger interpersonal skills and relationships buffer depressed preadolescents from stressors that arise during this important developmental period. Research shows that preadolescent depression is an important public health concern because it is often a gateway condition that increases the risk for recurrent depression in adolescence. Preteen depression not only interferes with normative social development at a formative period but also results in residual impairments in interpersonal functioning, which may increase risk for recurrent depression into adolescence and adulthood. Effective interventions for depression in the preadolescent period that target family and interpersonal risk factors may reduce risk for depression recurrence in adolescence. Chapters 5 through 17 of this Therapist Guide describe in detail the steps for conducting FB-IPT with depressed preadolescents and their parents.

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Części książek na temat "Residual based Grid Adaptation"

Yamaleev, Nail K., Boris Diskin i Kedar Pathak. "Adjoint-Based Methodology for Anisotropic Grid Adaptation". W Computational Fluid Dynamics 2010, 571–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17884-9_72.

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Catherall, D. "The Adaptation of Two-Dimensional Multiblock Structured Grids Using a PDE-Based Method". W Multiblock Grid Generation, 207–23. Wiesbaden: Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-87881-6_22.

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Ganesh, N., Nikhil V. Shende i N. Balakrishnan. "A Residual estimator based adaptation strategy for compressible flows". W Computational Fluid Dynamics 2006, 383–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92779-2_59.

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Shontz, Suzanne M., i David McLaurin. "A Global Optimization and Adaptivity-Based Algorithm for Automated Edge Grid Generation". W Mesh Generation and Adaptation, 301–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92540-6_14.

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Tatsis, Vasileios A., i Konstantinos E. Parsopoulos. "Experimental Sensitivity Analysis of Grid-Based Parameter Adaptation Method". W Heuristics for Optimization and Learning, 335–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58930-1_22.

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Yang, Dalu, Yehui Yang, Tiantian Huang, Binghong Wu, Lei Wang i Yanwu Xu. "Residual-CycleGAN Based Camera Adaptation for Robust Diabetic Retinopathy Screening". W Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 464–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59713-9_45.

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Ven, H. "Application of Feature-Based Grid Adaptation to Helicopter Rotor Flow". W Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 387–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-03707-8_27.

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Shen, Jianxin, Haijiang Wang i Shanlin Yang. "Electricity Load Forecasting in Smart Grid Based on Residual GM (1, 1) Model". W Lecture Notes in Electrical Engineering, 941–46. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01273-5_106.

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Gerhard, Nils, i Siegfried Müller. "The Simulation of a Tsunami Run-Up Using Multiwavelet-Based Grid Adaptation". W Theory, Numerics and Applications of Hyperbolic Problems I, 603–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91545-6_46.

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Shende, Nikhil, Umesh Garg, D. Karthikeyan i N. Balakrishnan. "An Embedded Grid Adaptation Strategy for Unstructured Data Based Finite Volume Computations". W Computational Fluid Dynamics 2002, 94–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_10.

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Streszczenia konferencji na temat "Residual based Grid Adaptation"

Narayanarao, Balakrishnan, i Yousuf Mohamed. "Residual based grid adaptation for meshless LSFD-U solver". W 23rd AIAA Computational Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3104.

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Diskin, Boris, i Nail Yamaleev. "Grid Adaptation Using Adjoint-Based Error Minimization". W 20th AIAA Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-3986.

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Basore, Kevin. "Reacting Gas Adjoint-Based Grid Adaptation in FUN3D". W AIAA Scitech 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-1994.

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Jang, Junwoo, i Jinwhan Kim. "Dynamic Grid Adaptation for Panel-Based Bathymetric SLAM". W 2019 IEEE Underwater Technology (UT). IEEE, 2019. http://dx.doi.org/10.1109/ut.2019.8734360.

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Yamaleev, Nail, Boris Diskin i Kedar Pathak. "Error Minimization via Adjoint-Based Anisotropic Grid Adaptation". W 40th Fluid Dynamics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-4436.

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Choudhary, Aniruddha, i Christopher Roy. "Efficient Residual-Based Mesh Adaptation for 1D and 2D CFD Applications". W 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-214.

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Li, Huan, Dawei Hu, Tianyong Hao, Liu Wenyin i Xiaoping Chen. "Adaptation Rule Learning for Case-Based Reasoning". W Third International Conference on Semantics, Knowledge and Grid (SKG 2007). IEEE, 2007. http://dx.doi.org/10.1109/skg.2007.188.

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Park, Michael A., Adrien Loseille, Joshua A. Krakos i Todd R. Michal. "Comparing Anisotropic Output-Based Grid Adaptation Methods by Decomposition". W 22nd AIAA Computational Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-2292.

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Park, Michael. "Adjoint-Based, Three-Dimensional Error Prediction and Grid Adaptation". W 32nd AIAA Fluid Dynamics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3286.

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