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Статті в журналах з теми "Gradient implicite"
Weller, Hilary, and Ava Shahrokhi. "Curl-Free Pressure Gradients over Orography in a Solution of the Fully Compressible Euler Equations with Implicit Treatment of Acoustic and Gravity Waves." Monthly Weather Review 142, no. 12 (December 1, 2014): 4439–57. http://dx.doi.org/10.1175/mwr-d-14-00054.1.
Повний текст джерелаAskes, Harm, and Miguel A. Gutiérrez. "Implicit gradient elasticity." International Journal for Numerical Methods in Engineering 67, no. 3 (2006): 400–416. http://dx.doi.org/10.1002/nme.1640.
Повний текст джерелаHaugh, Jason M., Franca Codazzi, Mary Teruel, and Tobias Meyer. "Spatial Sensing in Fibroblasts Mediated by 3′ Phosphoinositides." Journal of Cell Biology 151, no. 6 (December 11, 2000): 1269–80. http://dx.doi.org/10.1083/jcb.151.6.1269.
Повний текст джерелаMinervini, Pasquale, Luca Franceschi, and Mathias Niepert. "Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (June 26, 2023): 9200–9208. http://dx.doi.org/10.1609/aaai.v37i8.26103.
Повний текст джерелаDong, Mingrong, Yixuan Yang, Kai Zeng, Qingwang Wang, and Tao Shen. "Implicit Sharpness-Aware Minimization for Domain Generalization." Remote Sensing 16, no. 16 (August 6, 2024): 2877. http://dx.doi.org/10.3390/rs16162877.
Повний текст джерелаBertei, Antonio, Andrea Lamorgese, and Roberto Mauri. "Constitutive Relations of Thermal and Mass Diffusion." Journal of Non-Equilibrium Thermodynamics 45, no. 1 (January 28, 2020): 27–38. http://dx.doi.org/10.1515/jnet-2019-0055.
Повний текст джерелаNishikawa, Hiroaki. "From hyperbolic diffusion scheme to gradient method: Implicit Green–Gauss gradients for unstructured grids." Journal of Computational Physics 372 (November 2018): 126–60. http://dx.doi.org/10.1016/j.jcp.2018.06.019.
Повний текст джерелаGourmel, Olivier, Loic Barthe, Marie-Paule Cani, Brian Wyvill, Adrien Bernhardt, Mathias Paulin, and Herbert Grasberger. "A gradient-based implicit blend." ACM Transactions on Graphics 32, no. 2 (April 2013): 1–12. http://dx.doi.org/10.1145/2451236.2451238.
Повний текст джерелаDandi, Yatin, Luis Barba, and Martin Jaggi. "Implicit Gradient Alignment in Distributed and Federated Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6454–62. http://dx.doi.org/10.1609/aaai.v36i6.20597.
Повний текст джерелаNelson, J. Bradley. "An alternate derivation of the three‐dimensional Hilbert transform relations from first principles." GEOPHYSICS 51, no. 4 (April 1986): 1014–15. http://dx.doi.org/10.1190/1.1442141.
Повний текст джерелаДисертації з теми "Gradient implicite"
Ribeiro, Nogueira Breno. "Non-local damage mechanics with evolving interactions for modeling quasi-brittle materials : anisotropic damage and gradient-enhanced Eikonal approach." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST072.
Повний текст джерелаPredicting the cracking nucleation and propagation is essential to describe structural response under complex loading conditions. Diffuse micro-cracks are observed to appear before coalescing into a macro-crack. In the case of quasi-brittle materials, strain-softening behavior is observed and is related to a progressive loss of stiffness. From a thermodynamics viewpoint, this can be described in a continuum way by a damage state variable.However, local continuum damage mechanics models inevitably lead to an ill-posed rate equilibrium problem. In a finite element context, numerical results are, therefore, mesh-dependent. Non-local damage models can recover mesh-independent results by introducing neighborhood interactions through an internal length. Classic non-local approaches consider isotropic and constant interactions, which cannot reproduce the entire degradation process appropriately. Evolving interaction approaches exist and may better describe the cracking behavior. This thesis aims to provide theoretical and numerical aspects for developing evolving interactions gradient-enhanced damage models. Firstly, non-local models are studied and compared by analyzing boundary effects and damage diffusion in a one-dimensional explicit dynamics spalling test.The Eikonal non-local approach is given attention, where evolving interactions are considered through a damage-dependent Riemannian metric. The gradient-enhanced version of this model (ENLG) is then derived from a differential geometry-based micromorphic framework, leading to a dissipation expression fulfilling thermodynamics second principle. A simplified variational formulation is developed to evaluate the model's capabilities in two-dimensional isotropic damage quasi-static numerical simulations. Finally, the ENLG regularization is coupled to an anisotropic damage model considering a second-order damage tensor. Damage-induced anisotropy is naturally considered in the behavior and the evolving interactions. Simulations in two and three-dimensional contexts are studied and compared to existing experimental results from the literature while highlighting the numerical aspects involved. A detailed analysis describes the advantages of considering anisotropic damage and damage-dependent anisotropic interactions
Charlton, Timothy James. "An implicit Generalised Interpolation Material Point Method for large deformation and gradient elasto-plasticity." Thesis, Durham University, 2018. http://etheses.dur.ac.uk/12824/.
Повний текст джерелаTownshend, Julia Margaret. "A study of implicit memory and temporal gradients in retrograde amnesia and semantic dementia." Thesis, University of Sussex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340797.
Повний текст джерелаJackson, Sarah Marie. "The Influence of Implicit and Explicit Gender Bias on Grading, and the Effectiveness of Rubrics for Reducing Bias." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464731201.
Повний текст джерелаDe, Santis Dante. "Development of a high-order residual distribution method for Navier-Stokes and RANS equations." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00946171.
Повний текст джерелаHaley, James. "To Curve or Not to Curve? The Effect of College Science Grading Policies on Implicit Theories of Intelligence, Perceived Classroom Goal Structures, and Self-efficacy." Thesis, Boston College, 2015. http://hdl.handle.net/2345/bc-ir:104165.
Повний текст джерелаThere is currently a shortage of students graduating with STEM (science, technology, engineering, or mathematics) degrees, particularly women and students of color. Approximately half of students who begin a STEM major eventually switch out. Many switchers cite the competitiveness, grading curves, and weed-out culture of introductory STEM classes as reasons for the switch. Variables known to influence resilience include a student's implicit theory of intelligence and achievement goal orientation. Incremental theory (belief that intelligence is malleable) and mastery goals (pursuit of increased competence) are more adaptive in challenging classroom contexts. This dissertation investigates the role that college science grading policies and messages about the importance of effort play in shaping both implicit theories and achievement goal orientation. College students (N = 425) were randomly assigned to read one of three grading scenarios: (1) a "mastery" scenario, which used criterion-referenced grading, permitted tests to be retaken, and included a strong effort message; (2) a "norm" scenario, which used norm-referenced grading (grading on the curve); or (3) an "effort" scenario, which combined a strong effort message with the norm-referenced policies. The dependent variables included implicit theories of intelligence, perceived classroom goal structure, and self-efficacy. A different sample of students (N = 15) were randomly assigned a scenario to read, asked to verbalize their thoughts, and responded to questions in a semi-structured interview. Results showed that students reading the mastery scenario were more likely to endorse an incremental theory of intelligence, perceived greater mastery goal structure, and had higher self-efficacy. The effort message had no effect on self-efficacy, implicit theory, and most of the goal structure measures. The interviews revealed that it was the retake policy in the mastery scenario and the competitive atmosphere in the norm-referenced scenarios that were likely driving the results. Competitive grading policies appear to be incompatible with mastery goals, cooperative learning, and a belief in the efficacy of effort. Implications for college STEM instruction are discussed
Thesis (PhD) — Boston College, 2015
Submitted to: Boston College. Lynch School of Education
Discipline: Teacher Education, Special Education, Curriculum and Instruction
De, Santis Dante. "Schémas d'ordre élevé distribuant le résidu pour la résolution des équations de Navier-Stokes et Navier-Stokes moyennées (RANS)." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00935419.
Повний текст джерелаCai, Shang-Gui. "Computational fluid-structure interaction with the moving immersed boundary method." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2276/document.
Повний текст джерелаIn this thesis a novel non-body conforming mesh formulation is developed, called the moving immersed boundary method (MIBM), for the numerical simulation of fluid-structure interaction (FSI). The primary goal is to enable solids of complex shape to move arbitrarily in an incompressible viscous fluid, without fitting the solid boundary motion with dynamic meshes. This novel method enforces the no-slip boundary condition exactly at the fluid-solid interface with a boundary force, without introducing any artificial constants to the rigid body formulation. As a result, large time step can be used in current method. To determine the boundary force more efficiently in case of moving boundaries, an additional moving force equation is derived and the resulting system is solved by the conjugate gradient method. The proposed method is highly portable and can be integrated into any fluid solver as a plug-in. In the present thesis, the MIBM is implemented in the fluid solver based on the projection method. In order to obtain results of high accuracy, the rotational incremental pressure correction projection method is adopted, which is free of numerical boundary layer and is second order accurate. To accelerate the calculation of the pressure Poisson equation, the multi-grid method is employed as a preconditioner together with the conjugate gradient method as a solver. The code is further parallelized on the graphics processing unit (GPU) with the CUDA library to enjoy high performance computing. At last, the proposed MIBM is applied to the study of two-way FSI problem. For stability and modularity reasons, a partitioned implicit scheme is selected for this strongly coupled problem. The interface matching of fluid and solid variables is realized through a fixed point iteration. To reduce the computational cost, a novel efficient coupling scheme is proposed by removing the time-consuming pressure Poisson equation from this fixed point interaction. The proposed method has shown a promising performance in modeling complex FSI system
Singh, Manish Kumar. "Implicit Gradient Reconstruction for Unstructured Mesh Finite Volume Method." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5934.
Повний текст джерелаCICERI, ANDREA. "Il ruolo del wine packaging nel processo decisionale: confronto tra consumatori danesi e italiani integrando metodologia tradizionale e di neuromarketing." Doctoral thesis, 2017. http://hdl.handle.net/10808/22423.
Повний текст джерелаКниги з теми "Gradient implicite"
1929-, Chung T. J., and United States. National Aeronautics and Space Administration., eds. Flowfield-dependent mixed explicit-implicit (FDMEI) algorithm for computational fluid dynamics: Final report ... [Washington, DC: National Aeronautics and Space Administration, 1997.
Знайти повний текст джерелаBaysal, Oktay. Efficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. Efficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. Efficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.
Знайти повний текст джерелаTownshend, Julia Margaret. A study of implicit memory and temporal gradients in retrograde amnesia and semantic dementia. 2001.
Знайти повний текст джерелаFlowfield-dependent mixed explicit-implicit (FDMEI) algorithm for computational fluid dynamics: Final report ... [Washington, DC: National Aeronautics and Space Administration, 1997.
Знайти повний текст джерелаFlowfield-dependent mixed explicit-implicit (FDMEI) algorithm for computational fluid dynamics: Final report ... [Washington, DC: National Aeronautics and Space Administration, 1997.
Знайти повний текст джерелаMann, Peter. Matrices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0031.
Повний текст джерелаEfficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.
Знайти повний текст джерелаЧастини книг з теми "Gradient implicite"
Lyu, Yueming, and Ivor W. Tsang. "Black-Box Optimizer with Stochastic Implicit Natural Gradient." In Machine Learning and Knowledge Discovery in Databases. Research Track, 217–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86523-8_14.
Повний текст джерелаHillman, M., and J. S. Chen. "An Implicit Gradient Meshfree Formulation for Convection-Dominated Problems." In Advances in Computational Fluid-Structure Interaction and Flow Simulation, 25–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40827-9_3.
Повний текст джерелаBayer, Hakan, Benedikt Faltin, and Markus König. "Automated Extraction of Bridge Gradient from Drawings Using Deep Learning." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality, 683–90. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.68.
Повний текст джерелаBayer, Hakan, Benedikt Faltin, and Markus König. "Automated Extraction of Bridge Gradient from Drawings Using Deep Learning." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality, 683–90. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.68.
Повний текст джерелаNguyen, Quoc-Son. "Quasi-static Evolution, Variational Principles and Implicit Scheme in Gradient Plasticity." In Springer Series in Solid and Structural Mechanics, 143–52. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48884-4_7.
Повний текст джерелаMedvedev, Dmitry, and Alexander D’yakonov. "Learning to Generate Synthetic Training Data Using Gradient Matching and Implicit Differentiation." In Communications in Computer and Information Science, 138–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15168-2_12.
Повний текст джерелаZhou, Jincheng, and Maoxing Zheng. "Federated Learning with Class Balanced Loss Optimized by Implicit Stochastic Gradient Descent." In Communications in Computer and Information Science, 121–35. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0405-1_9.
Повний текст джерелаWu, Jiaying, Xiatao Kang, Jingying Xiao, and Jiayi Yao. "Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease." In Neural Information Processing, 231–43. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8082-6_18.
Повний текст джерелаHahn, Jooyoung, Karol Mikula, Peter Frolkovič, and Branislav Basara. "Semi-implicit Level Set Method with Inflow-Based Gradient in a Polyhedron Mesh." In Springer Proceedings in Mathematics & Statistics, 81–89. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57394-6_9.
Повний текст джерелаChen, ZhenLi, Antoine Devesa, Michael Meyer, Eric Lauer, Stefan Hickel, Christian Stemmer, and Nikolaus A. Adams. "Wall Modelling for Implicit Large Eddy Simulation of Favourable and Adverse Pressure Gradient Flows." In ERCOFTAC Series, 337–46. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-9603-6_35.
Повний текст джерелаТези доповідей конференцій з теми "Gradient implicite"
Nishikawa, Hiroaki. "Updates to Implicit Edge-Based Gradient Methods." In AIAA SCITECH 2024 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2024. http://dx.doi.org/10.2514/6.2024-1748.
Повний текст джерелаAjmani, Kumud, and Meng-Sing Liou. "Implicit conjugate-gradient solvers on distributed-memory architectures." In 12th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-1695.
Повний текст джерелаLi, Peiyan, Xu Liang, and Haochen Song. "A Survey on Implicit Bias of Gradient Descent." In 2022 14th International Conference on Computer Research and Development (ICCRD). IEEE, 2022. http://dx.doi.org/10.1109/iccrd54409.2022.9730384.
Повний текст джерелаYork, William D., and James H. Leylek. "Numerical Prediction of Mainstream Pressure Gradient Effects in Film Cooling." In ASME 1999 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/99-gt-166.
Повний текст джерелаYi, Sung-Jae, and Moon-Sun Chung. "An Advanced Semi-Implicit Method for Two-Phase Flow Calculation." In 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22009.
Повний текст джерелаNishikawa, Hiroaki. "Implicit Edge-Based Gradients for Simplex Grids." In AIAA AVIATION 2020 FORUM. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-3048.
Повний текст джерелаEl Gheche, Mireille, Giovanni Chierchia, and Pascal Frossard. "Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683286.
Повний текст джерелаSommer, Christiane, Lu Sang, David Schubert, and Daniel Cremers. "Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00618.
Повний текст джерелаTsaknakis, Ioannis, Prashant Khanduri, and Mingyi Hong. "An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems." In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022. http://dx.doi.org/10.1109/icassp43922.2022.9747013.
Повний текст джерелаEaton, Brandon, Michael R. von Spakovsky, Michael W. Ellis, Douglas J. Nelson, Benoit Olsommer, and Nathan Siegel. "One-Dimensional, Transient Model of Heat, Mass, and Charge Transfer in a Proton Exchange Membrane." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/aes-23652.
Повний текст джерела