Literatura académica sobre el tema "Residual based Grid Adaptation"
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Artículos de revistas sobre el tema "Residual based Grid Adaptation"
Cui, Pengcheng, Bin Li, Jing Tang, Jiangtao Chen y Youqi Deng. "A modified adjoint-based grid adaptation and error correction method for unstructured grid". Modern Physics Letters B 32, n.º 12n13 (10 de mayo de 2018): 1840020. http://dx.doi.org/10.1142/s0217984918400201.
Texto completoYousuf, Mohamed y N. Balakrishnan. "Residual-Based Grid Adaptation for Meshless LSFD-U Solver". AIAA Journal 57, n.º 4 (abril de 2019): 1649–58. http://dx.doi.org/10.2514/1.j057633.
Texto completoLi, 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.
Texto completoWang, Shan, Ding Wang y Junren Sun. "Artificial Neural Network-Based Ionospheric Delay Correction Method for Satellite-Based Augmentation Systems". Remote Sensing 14, n.º 3 (31 de enero de 2022): 676. http://dx.doi.org/10.3390/rs14030676.
Texto completoGrigorov, Serhii M., Anton K. Khudyk y Iryna S. Sukhina. "APPLIANCE OF CAD / CAM MODELING IN PROSTHETICS OF BONE DEFECTS OF FACIAL BONES". Wiadomości Lekarskie 74, n.º 6 (2021): 1469–74. http://dx.doi.org/10.36740/wlek202106133.
Texto completoChristodoulou, George C., Arthanassios E. Kouloumbis y Alice O. Aza. "2 - D CIRCULATION IN THE SARONIC GULF". Coastal Engineering Proceedings 1, n.º 20 (29 de enero de 1986): 182. http://dx.doi.org/10.9753/icce.v20.182.
Texto completoWang, Feiyan, Zhengyong Ren y 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, n.º 1 (30 de noviembre de 2021): 439–58. http://dx.doi.org/10.1093/gji/ggab485.
Texto completoCui, Pengcheng, Yongqian Zheng, Peimin Xu, Bin Li, Mingsheng Ma y Guiyu Zhou. "The comparison of adjoint-based grid adaptation and feature-based grid adaptation method". Journal of Physics: Conference Series 2280, n.º 1 (1 de junio de 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2280/1/012003.
Texto completoTatsis, Vasileios A. y Konstantinos E. Parsopoulos. "Differential Evolution with Grid-Based Parameter Adaptation". Soft Computing 21, n.º 8 (4 de noviembre de 2015): 2105–27. http://dx.doi.org/10.1007/s00500-015-1911-2.
Texto completoGraf, U., P. Romstedt y W. Werner. "Use of a Dynamic Grid Adaptation in the Asymmetric Weighted Residual Method". Nuclear Science and Engineering 92, n.º 1 (enero de 1986): 66–70. http://dx.doi.org/10.13182/nse86-a17866.
Texto completoTesis sobre el tema "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.
Texto completoBoey, 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.
Texto completoBalasubramanian, 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.
Texto completoChen, 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.
Texto completoChoudhary, 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.
Texto completoPh. D.
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.
Texto completoPh. D.
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.
Texto completoThe 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
Meyer, David, Achim Zeileis y 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.
Texto completoSeries: Research Report Series / Department of Statistics and Mathematics
Hornik, Kurt, Achim Zeileis y 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.
Texto completoPatel, Sumit Kumar. "A Residual Based h-Adaptive Strategy Employing A Zero Mean Polynomial Reconstruction". Thesis, 2012. https://etd.iisc.ac.in/handle/2005/2515.
Texto completoLibros sobre el tema "Residual based Grid Adaptation"
Dietz, Laura J., Laura Mufson y 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.
Texto completoCapítulos de libros sobre el tema "Residual based Grid Adaptation"
Yamaleev, Nail K., Boris Diskin y Kedar Pathak. "Adjoint-Based Methodology for Anisotropic Grid Adaptation". En Computational Fluid Dynamics 2010, 571–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17884-9_72.
Texto completoCatherall, D. "The Adaptation of Two-Dimensional Multiblock Structured Grids Using a PDE-Based Method". En Multiblock Grid Generation, 207–23. Wiesbaden: Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-87881-6_22.
Texto completoGanesh, N., Nikhil V. Shende y N. Balakrishnan. "A Residual estimator based adaptation strategy for compressible flows". En Computational Fluid Dynamics 2006, 383–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92779-2_59.
Texto completoShontz, Suzanne M. y David McLaurin. "A Global Optimization and Adaptivity-Based Algorithm for Automated Edge Grid Generation". En Mesh Generation and Adaptation, 301–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92540-6_14.
Texto completoTatsis, Vasileios A. y Konstantinos E. Parsopoulos. "Experimental Sensitivity Analysis of Grid-Based Parameter Adaptation Method". En Heuristics for Optimization and Learning, 335–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58930-1_22.
Texto completoYang, Dalu, Yehui Yang, Tiantian Huang, Binghong Wu, Lei Wang y Yanwu Xu. "Residual-CycleGAN Based Camera Adaptation for Robust Diabetic Retinopathy Screening". En 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.
Texto completoVen, H. "Application of Feature-Based Grid Adaptation to Helicopter Rotor Flow". En 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.
Texto completoShen, Jianxin, Haijiang Wang y Shanlin Yang. "Electricity Load Forecasting in Smart Grid Based on Residual GM (1, 1) Model". En Lecture Notes in Electrical Engineering, 941–46. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01273-5_106.
Texto completoGerhard, Nils y Siegfried Müller. "The Simulation of a Tsunami Run-Up Using Multiwavelet-Based Grid Adaptation". En 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.
Texto completoShende, Nikhil, Umesh Garg, D. Karthikeyan y N. Balakrishnan. "An Embedded Grid Adaptation Strategy for Unstructured Data Based Finite Volume Computations". En Computational Fluid Dynamics 2002, 94–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_10.
Texto completoActas de conferencias sobre el tema "Residual based Grid Adaptation"
Narayanarao, Balakrishnan y Yousuf Mohamed. "Residual based grid adaptation for meshless LSFD-U solver". En 23rd AIAA Computational Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3104.
Texto completoDiskin, Boris y Nail Yamaleev. "Grid Adaptation Using Adjoint-Based Error Minimization". En 20th AIAA Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-3986.
Texto completoBasore, Kevin. "Reacting Gas Adjoint-Based Grid Adaptation in FUN3D". En AIAA Scitech 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-1994.
Texto completoJang, Junwoo y Jinwhan Kim. "Dynamic Grid Adaptation for Panel-Based Bathymetric SLAM". En 2019 IEEE Underwater Technology (UT). IEEE, 2019. http://dx.doi.org/10.1109/ut.2019.8734360.
Texto completoYamaleev, Nail, Boris Diskin y Kedar Pathak. "Error Minimization via Adjoint-Based Anisotropic Grid Adaptation". En 40th Fluid Dynamics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-4436.
Texto completoChoudhary, Aniruddha y Christopher Roy. "Efficient Residual-Based Mesh Adaptation for 1D and 2D CFD Applications". En 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.
Texto completoLi, Huan, Dawei Hu, Tianyong Hao, Liu Wenyin y Xiaoping Chen. "Adaptation Rule Learning for Case-Based Reasoning". En Third International Conference on Semantics, Knowledge and Grid (SKG 2007). IEEE, 2007. http://dx.doi.org/10.1109/skg.2007.188.
Texto completoLi, Huan, Dawei Hu, Tianyong Hao, Liu Wenyin y Xiaoping Chen. "Adaptation Rule Learning for Case-Based Reasoning". En Third International Conference on Semantics, Knowledge and Grid (SKG 2007). IEEE, 2007. http://dx.doi.org/10.1109/skg.2007.37.
Texto completoPark, Michael A., Adrien Loseille, Joshua A. Krakos y Todd R. Michal. "Comparing Anisotropic Output-Based Grid Adaptation Methods by Decomposition". En 22nd AIAA Computational Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-2292.
Texto completoPark, Michael. "Adjoint-Based, Three-Dimensional Error Prediction and Grid Adaptation". En 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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