Literatura académica sobre el tema "Differentiation implicite"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Differentiation implicite".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Differentiation implicite"
Hughes, David. "Differentiating the Corporation: Accountability and International Humanitarian Law". Michigan Journal of International Law, n.º 42.1 (2021): 47. http://dx.doi.org/10.36642/mjil.42.1.differentiating.
Texto completoSarkar, Sukumar, Bijan K. Dey y Anindya Dutta. "MiR-322/424 and -503 Are Induced during Muscle Differentiation and Promote Cell Cycle Quiescence and Differentiation by Down-Regulation of Cdc25A". Molecular Biology of the Cell 21, n.º 13 (julio de 2010): 2138–49. http://dx.doi.org/10.1091/mbc.e10-01-0062.
Texto completoBair, Jacques y Valérie Henry. "Implicit Differentiation with Microscopes". Mathematical Intelligencer 32, n.º 1 (4 de noviembre de 2009): 53–55. http://dx.doi.org/10.1007/s00283-009-9088-0.
Texto completoVachon, Pierre H. "Integrin Signaling, Cell Survival, and Anoikis: Distinctions, Differences, and Differentiation". Journal of Signal Transduction 2011 (13 de julio de 2011): 1–18. http://dx.doi.org/10.1155/2011/738137.
Texto completoStratton, Damji Heo. "Negative transfer in implicit differentiation". International Journal of Educational Research Open 2-2 (2021): 100051. http://dx.doi.org/10.1016/j.ijedro.2021.100051.
Texto completoYoung, Gary W. De. "Constrained Optimization with Implicit Differentiation". College Mathematics Journal 34, n.º 2 (marzo de 2003): 148. http://dx.doi.org/10.2307/3595792.
Texto completoMatthews, K. R. y K. Gull. "Evidence for an interplay between cell cycle progression and the initiation of differentiation between life cycle forms of African trypanosomes." Journal of Cell Biology 125, n.º 5 (1 de junio de 1994): 1147–56. http://dx.doi.org/10.1083/jcb.125.5.1147.
Texto completoPark, Ji Hye, Na Kyoung Lee, Hye Ji Lim, Seung taek Ji, Yeon-Ju Kim, Woong Bi Jang, Da Yeon Kim et al. "Pharmacological inhibition of mTOR attenuates replicative cell senescence and improves cellular function via regulating the STAT3-PIM1 axis in human cardiac progenitor cells". Experimental & Molecular Medicine 52, n.º 4 (abril de 2020): 615–28. http://dx.doi.org/10.1038/s12276-020-0374-4.
Texto completoYu, Chieh, Ian W. Peall, Son H. Pham, Rachel K. Okolicsanyi, Lyn R. Griffiths y Larisa M. Haupt. "Syndecan-1 Facilitates the Human Mesenchymal Stem Cell Osteo-Adipogenic Balance". International Journal of Molecular Sciences 21, n.º 11 (29 de mayo de 2020): 3884. http://dx.doi.org/10.3390/ijms21113884.
Texto completoClark, Allison J., Kathryn M. Doyle y Patrick O. Humbert. "Cell-intrinsic requirement for pRb in erythropoiesis". Blood 104, n.º 5 (1 de septiembre de 2004): 1324–26. http://dx.doi.org/10.1182/blood-2004-02-0618.
Texto completoTesis sobre el tema "Differentiation implicite"
Dagreou, Mathieu. "Contributions to stochastic bilevel optimization". Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG041.
Texto completoBilevel problems are a type of optimization problem characterized by a hierarchical structure. In these problems, one wants to minimize an outer function under the constraint that some variables minimize an inner function. These problems are gaining popularity in the machine learning community due to their wide range of applications, such as hyperparameter optimization.In this thesis, we explore approximate implicit differentiation-based algorithms to address bilevel problems where both the outer and inner functions are empirical means over potentially large sample sets. This empirical risk minimization framework is a classical approach in many machine learning tasks.First, we introduce a general algorithmic framework that allows any first-order stochastic solver, initially designed for single-level problems, to be adapted to bilevel problems. We provide and analyze two instantiations of this framework: an adaptation of the stochastic gradient descent and of the SAGA algorithm to bilevel problems. Our analysis demonstrates that these algorithms have complexities comparable to their single-level counterparts.Then, we interest ourselves in the complexity of bilevel optimization in the nonconvex-strongly convex setting. We propose an algorithm class that includes several stochastic approximate implicit differentiation-based methods and establish a lower bound on the number of oracle calls required to reach an approximate stationary point. Then, we propose an algorithm whose complexity matches this lower bound.The performances of the proposed methods are evaluated numerically by a benchmark comparing those methods to other bilevel algorithms on quadratic functions, hyperparameter selection problems, and the datacleaning task
Hu, Luoan 1954. "DBDF: An implicit numerical differentiation algorithm for integrated circuit simulation". Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277918.
Texto completoDean, Samuel. "Functional analysis of a family of proteins implicated in Trypanosoma brucei lifecycle progression". Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/4002.
Texto completoWillis, William L. "YB-1 Stress-Response Protein Conformation Implicated in Post-transcriptional Control of Myofibroblast Differentiation". The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376593223.
Texto completoFratangeli, A. "ENDOCYTIC TRAFFIC OF THE G-PROTEIN COUPLED RECEPTOR 17, A DUALISTIC RECEPTOR IMPLICATED IN OLIGODENDROCYTE DIFFERENTIATION". Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/170267.
Texto completoJeppson, Haley Paige. "Developing Understanding of the Chain Rule, Implicit Differentiation, and Related Rates: Towards a Hypothetical Learning Trajectory Rooted in Nested Multivariation". BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7529.
Texto completoGrant, Emily H. "Functional characterization of NAC-domain transcription factors implicated in control of vascular cell differentiation in Arabidopsis and Populus". Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/36373.
Texto completoMaster of Science
Causse, Elsa. "La différenciation individuelle : définition d’une approche théorique et comparaison de mesures". Thesis, Bordeaux 2, 2009. http://www.theses.fr/2009BOR21642/document.
Texto completoThe present dissertation is devoted to individual differentiation (ID), a notion that is present in three fields of research: identity, individualism/collectivism and perceived group variability. These three approaches do not consider ID at the same level of analysis and use different methods. Moreover, ID only has a peripheral place. Consequently, we do not know exactly what this notion covers. This work intended to develop the theoretical content of ID and operationalize it more precisely. With the aim to compare the existing methods, we used three measures of ID. A general and decontextualized scale, specific scales, separately contextualized and an implicit measure based on self and others descriptions. The impact of socio-professional status, gender, context and order of descriptions in the implicit measure were estimated within a population of cleaners and lawyers. Results showed a strong effect of status variables on ID. Important variations induced by context and order of descriptions were also observed. This research enabled to delimit ID approach and to develop its definition. ID refers to a socio-cultural norm that brings about two consequences: perception of uniqueness and quest of difference, located in self presentation strategies. The use of complementary measures appears necessary since these two effects are reached by different measures, general measure and implicit measure respectively. With these two measures, ID is more important in high-status groups. Specific scales refer to an explicit measure which produces the opposite result: more ID in low-status groups. This type of measure reveals a rejection of respective images associated to high and low-status groups. It enables us to understand that in everyday life, ID generates many paradoxes with regard to the needs of conformity and of group affiliation. This measure reflects the control of contradictions induced by ID that arise at an identitary level and a normative one
Rosenius, Marie. "Svenska kyrkan samma kyrka? : ecklesiologi före och efter relationsförändringen mellan kyrka och stat". Doctoral thesis, Umeå universitet, Institutionen för idé- och samhällsstudier, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-111908.
Texto completoWhite, Sarah Elise. "Optimization methods". Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-08-6037.
Texto completotext
Libros sobre el tema "Differentiation implicite"
Isett, Philip. Bounds for Coefficients from the Stress Equation. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691174822.003.0020.
Texto completoMann, Peter. Matrices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0031.
Texto completoLoenhoff, Jens. Intercorporeality as a Foundational Dimension of Human Communication. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190210465.003.0002.
Texto completoBarlas, Asma. Islam. Editado por Adrian Thatcher. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199664153.013.001.
Texto completoReychler, Luc. Peacemaking, Peacekeeping, and Peacebuilding. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.274.
Texto completoJamil, Ghazala. Accumulation by Segregation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199470655.001.0001.
Texto completoCapítulos de libros sobre el tema "Differentiation implicite"
Lopez, Robert J. "Implicit Differentiation". En Maple via Calculus, 43. Boston, MA: Birkhäuser Boston, 1994. http://dx.doi.org/10.1007/978-1-4612-0267-7_10.
Texto completoSneyd, James, Rachel M. Fewster y Duncan McGillivray. "Implicit differentiation". En Mathematics and Statistics for Science, 325–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05318-4_16.
Texto completoBird, John. "Differentiation of implicit functions". En Engineering Mathematics, 507–11. 8th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315561851-74.
Texto completoBird, John. "Differentiation of implicit functions". En Bird's Higher Engineering Mathematics, 369–74. 9a ed. Ninth edition. | Abingdon, Oxon ; New York : Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.1201/9781003124221-28.
Texto completoBell, Bradley M. y James V. Burke. "Algorithmic Differentiation of Implicit Functions and Optimal Values". En Advances in Automatic Differentiation, 67–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68942-3_7.
Texto completoPark, Ukeob, Kalyana C. Veluvolu y Minho Lee. "Phase Synchrony for Human Implicit Intent Differentiation". En Neural Information Processing, 427–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42054-2_53.
Texto completoAlqasemi, Maryam y Youssef Belhamadia. "A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model". En Computational Science – ICCS 2021, 541–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77977-1_43.
Texto completoMedvedev, Dmitry y Alexander D’yakonov. "Learning to Generate Synthetic Training Data Using Gradient Matching and Implicit Differentiation". En 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.
Texto completoDalbert, Claudia. "On the Differentiation of an Implicit and a Self-Attributed Justice Motive". En Justice and Conflicts, 77–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19035-3_4.
Texto completoStephan, Nicolas, Marine Lemarié y Kristina Schinegger. "Common Ground—Online Platforms for Bottom-Up Collaborative Decision Making in Design Education". En Computational Design and Robotic Fabrication, 65–77. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8637-6_6.
Texto completoActas de conferencias sobre el tema "Differentiation implicite"
Valenzuela, Lucas Fuentes, Anthony Degleris, Abbas El Gamal, Marco Pavone y Ram Rajagopal. "Dynamic Locational Marginal Emissions Via Implicit Differentiation". En 2024 IEEE Power & Energy Society General Meeting (PESGM), 1. IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10688494.
Texto completoMichel, Loïc, Malek Ghanes, Yannick Aoustin y Jean-Pierre Barbot. "An interconnected discrete time cascaded semi-implicit differentiation". En 2024 17th International Workshop on Variable Structure Systems (VSS), 164–69. IEEE, 2024. http://dx.doi.org/10.1109/vss61690.2024.10753413.
Texto completoPyatov, Vladislav, Iaroslav Koshelev y Stamatios Lefkimmiatis. "Robust Two-View Geometry Estimation with Implicit Differentiation". En 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 11924–31. IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801617.
Texto completoDegleris, Anthony, Lucas Fuentes Valenzuela, Ram Rajagopal, Marco Pavone y Abbas El Gamal. "Fast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation". En 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 458–64. IEEE, 2024. http://dx.doi.org/10.1109/smartgridcomm60555.2024.10738026.
Texto completoGuerrero Peña, Fidel A., Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger y Marco Pedersoli. "Re-basin via implicit Sinkhorn differentiation". En 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.01938.
Texto completoEisenberger, Marvin, Aysim Toker, Laura Leal-Taixe, Florian Bernard y Daniel Cremers. "A Unified Framework for Implicit Sinkhorn Differentiation". En 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00059.
Texto completoZumwalt, Kenneth W. y Mohamed E. M. El-Sayed. "Design Sensitivity Derivatives for Isoparametric Elements As an Integrated Part of Finite Element Analysis". En ASME 1990 Design Technical Conferences. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/detc1990-0072.
Texto completoTu, Tianxiong, Guoping Wang, Xiaoting Rui, Jianshu Zhang y Xiangzhen Zhou. "Implicit Algorithm for Riccati Transfer Matrix Method for Multibody Systems". En ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85675.
Texto completoMichel, L., M. Ghanes, Y. Aoustin, J.-P. Barbot, S. Messaoudi y M. Laaziz. "A Fourth Order Semi-Implicit Homogeneous Differentiator". En 2022 10th International Conference on Systems and Control (ICSC). IEEE, 2022. http://dx.doi.org/10.1109/icsc57768.2022.9993942.
Texto completoEfimov, Denis y Yury Orlov. "On Implicit Discretization of Prescribed-Time Differentiator". En 2024 European Control Conference (ECC). IEEE, 2024. http://dx.doi.org/10.23919/ecc64448.2024.10590820.
Texto completoInformes sobre el tema "Differentiation implicite"
Michelotti, L. A note on the automated differentiation of implicit functions. Office of Scientific and Technical Information (OSTI), junio de 1991. http://dx.doi.org/10.2172/5603271.
Texto completo