Literatura académica sobre el tema "Splitting algorithm"
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Artículos de revistas sobre el tema "Splitting algorithm"
Luo, Zhi Kang, Huai Ying Sun y De Wang. "An Improved SPRINT Algorithm". Advanced Materials Research 532-533 (junio de 2012): 1685–90. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1685.
Texto completoChen, Jinjian, Xingyu Luo, Yuchao Tang y Qiaoli Dong. "Primal-Dual Splitting Algorithms for Solving Structured Monotone Inclusion with Applications". Symmetry 13, n.º 12 (13 de diciembre de 2021): 2415. http://dx.doi.org/10.3390/sym13122415.
Texto completoHai, Trinh Ngoc y Ngo Thi Thuong. "A new splitting algorithm for equilibrium problems and applications". Studia Universitatis Babes-Bolyai Matematica 67, n.º 1 (10 de marzo de 2022): 129–44. http://dx.doi.org/10.24193/subbmath.2022.1.09.
Texto completoAsqool, Obada, Suhana Koting y Ahmad Saifizul. "Evaluation of Outlier Filtering Algorithms for Accurate Travel Time Measurement Incorporating Lane-Splitting Situations". Sustainability 13, n.º 24 (15 de diciembre de 2021): 13851. http://dx.doi.org/10.3390/su132413851.
Texto completoAshley, J. y B. H. Marcus. "A generalized state-splitting algorithm". IEEE Transactions on Information Theory 43, n.º 4 (julio de 1997): 1326–38. http://dx.doi.org/10.1109/18.605603.
Texto completoKripac, Jiri. "Algorithm for splitting planar faces". Computer-Aided Design 19, n.º 6 (julio de 1987): 293–98. http://dx.doi.org/10.1016/0010-4485(87)90282-x.
Texto completoWalraven, F. F. Y. y P. V. Van Rompay. "An improved phase-splitting algorithm". Computers & Chemical Engineering 12, n.º 8 (agosto de 1988): 777–82. http://dx.doi.org/10.1016/0098-1354(88)80015-2.
Texto completoZhang, Xiaoyu, Genxiang Chen y Qi Zhang. "LCOS-SLM Based Intelligent Hybrid Algorithm for Beam Splitting". Electronics 11, n.º 3 (30 de enero de 2022): 428. http://dx.doi.org/10.3390/electronics11030428.
Texto completoZong, Chunxiang, Yuchao Tang y Yeol Cho. "Convergence Analysis of an Inexact Three-Operator Splitting Algorithm". Symmetry 10, n.º 11 (1 de noviembre de 2018): 563. http://dx.doi.org/10.3390/sym10110563.
Texto completoSun, Yong Yong y Guang Qiu Huang. "Technique of Code Obfuscation Based on Class Splitting". Applied Mechanics and Materials 271-272 (diciembre de 2012): 636–40. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.636.
Texto completoTesis sobre el tema "Splitting algorithm"
Bot, Radu Ioan, Ernö Robert Csetnek y Erika Nagy. "Solving systems of monotone inclusions via primal-dual splitting techniques". Universitätsbibliothek Chemnitz, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-108172.
Texto completoSalinger, David H. "A splitting algorithm for multistage stochastic programming with application to hydropower scheduling /". Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/6749.
Texto completoHendrich, Christopher. "Proximal Splitting Methods in Nonsmooth Convex Optimization". Doctoral thesis, Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-149548.
Texto completoBirba, Delwende Eliane. "A Comparative study of data splitting algorithms for machine learning model selection". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287194.
Texto completoDatapartitionering används vanligtvis i maskininlärning för att dela data i en tränings, test eller valideringsuppsättning. Detta tillvägagångssätt gör det möjligt för oss att hitta hyperparametrar för modellen och även uppskatta generaliseringsprestanda. I denna forskning genomförde vi en jämförande analys av olika datapartitionsalgoritmer på både verkliga och simulerade data. Vårt huvudmål var att undersöka frågan om hur valet avdatapartitioneringsalgoritm kan förbättra uppskattningen av generaliseringsprestanda. Datapartitioneringsalgoritmer som användes i denna studie var varianter av k-faldig korsvalidering, Kennard-Stone (KS), SPXY (partitionering baserat på gemensamt x-y-avstånd) och bootstrap-algoritm. Varje algoritm användes för att dela upp data i två olika datamängder: tränings- och valideringsdata. Vi analyserade sedan de olika datapartitioneringsalgoritmerna baserat på generaliseringsprestanda uppskattade från valideringen och den externa testuppsättningen. Från resultatet noterade vi att det avgörande för en bra generalisering är storleken på data. För alla datapartitioneringsalgoritmer som använts på små datamängder var klyftan mellan prestanda uppskattad på valideringen och testuppsättningen betydande. Vi noterade emellertid att gapet minskade när det fanns mer data för träning eller validering. För mycket eller för litet data i träningsuppsättningen kan också leda till dålig prestanda. Detta belyser vikten av att ha en korrekt balans mellan storlekarna på tränings- och valideringsmängderna. I vår studie var KS och SPXY de algoritmer med sämst prestanda. Dessa metoder väljer de mest representativa instanserna för att träna modellen, och icke-representativa instanser lämnas för uppskattning av modellprestanda.
Nagurney, Anna y Alexander Eydeland. "A Splitting Equilibration Algorithm for the Computation of Large-Scale Constrained Matrix Problems; Theoretical Analysis and Applications". Massachusetts Institute of Technology, Operations Research Center, 1990. http://hdl.handle.net/1721.1/5316.
Texto completoGlaudin, Lilian. "Stratégies multicouche, avec mémoire, et à métrique variable en méthodes de point fixe pour l'éclatement d'opérateurs monotones et l'optimisation". Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS119.
Texto completoSeveral apparently unrelated strategies coexist to implement algorithms for solving monotone inclusions in Hilbert spaces. We propose a synthetic framework for fixed point construction which makes it possible to capture various algorithmic approaches, clarify and generalize their asymptotic behavior, and design new iterative schemes for nonlinear analysis and convex optimization. Our methodology, which is anchored on an averaged quasinonexpansive operator composition model, allows us to advance the theory of fixed point algorithms on several fronts, and to impact their application fields. Numerical examples are provided in the context of image restoration, where we propose a new viewpoint on the formulation of variational problems
Uygur, Ahmet Bilge. "A Non-iterative Pressure Based Algorithm For The Computation Of Reacting Radiating Flows". Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608274/index.pdf.
Texto completowere benchmarked against experimental data and numerical solutions available in the literature and the capability of the code to predict transient solutions was demonstrated on these test cases. Favorable agreements were obtained for both test cases. The effect of radiation and non-gray treatment of the radiative properties were investigated on the second test case. It was found that incorporation of radiation has significant effect on Temeprature and velocity fields but its effect is limited in species predictions. Executions with both radiation models revealed that the non-gray radiation model considered in the present study produces similar results with the gray model at a considerably higher computational cost. The algorithm developed was found to be an efficient and versatile tool for the timedependent simulation of different flow scenarios constitutes the initial steps towards the computation of transient turbulent combustion.
Karmouche, El Mostafa. "Modélisation complémentaire des signaux non-stationnaires". Nancy 1, 1993. http://www.theses.fr/1993NAN10015.
Texto completoHiltunen, Sonja. "Proximal Splitting Algorithms for Disparity Estimation Using Convex Relaxation". Thesis, KTH, Ljud- och bildbehandling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-55342.
Texto completoDarapuram, Rajasekhar Venkata. "AN INVESTIGATION OF FLUX-SPLITTING ALGORITHMS FOR CHEMICALLY REACTING FLOWS". MSSTATE, 2001. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04102001-104000/.
Texto completoLibros sobre el tema "Splitting algorithm"
Siebert, Christian. A scalable parallel sorting algorithm using exact splitting. Aachen: Universitätsbibliothek der RWTH Aachen, 2011.
Buscar texto completoNASA Dryden Flight Research Center., ed. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.
Buscar texto completoNASA Dryden Flight Research Center., ed. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.
Buscar texto completoBui, Trong T. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.
Buscar texto completoNASA Dryden Flight Research Center., ed. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.
Buscar texto completoNASA Dryden Flight Research Center., ed. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.
Buscar texto completoBauschke, Heinz H., Regina S. Burachik y D. Russell Luke, eds. Splitting Algorithms, Modern Operator Theory, and Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25939-6.
Texto completoAnderson, W. Kyle. Three-dimensional multigrid algorithms for the flux-split Euler equations. Hampton, Va: Langley Research Center, 1988.
Buscar texto completo1952-, Thomas James L., Whitfield David L y United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Three-dimensional multigrid algorithms for the flux-split Euler equations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.
Buscar texto completoAnderson, W. Kyle. Three-dimensional multigrid algorithms for the flux-split Euler equations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.
Buscar texto completoCapítulos de libros sobre el tema "Splitting algorithm"
Dehne, Frank, Michael R. Fellows y Frances A. Rosamond. "An FPT Algorithm for Set Splitting". En Graph-Theoretic Concepts in Computer Science, 180–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39890-5_16.
Texto completoLokshtanov, Daniel y Saket Saurabh. "Even Faster Algorithm for Set Splitting!" En Parameterized and Exact Computation, 288–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-11269-0_24.
Texto completoLiu, Jun y Kotagiri Ramamohanarao. "Improved Self-splitting Competitive Learning Algorithm". En Advances in Knowledge Discovery and Data Mining, 372–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11430919_44.
Texto completoLee, Jaeho, JoonYoung Park, Deok-Soo Kim y HyunChan Lee. "Polyhedron Splitting Algorithm for 3D Layer Generation". En Computational Science and Its Applications – ICCSA 2004, 564–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24709-8_60.
Texto completoKhoder, Rami, Rola Naja y Samir Tohme. "Performance Evaluation of Speed Platoon Splitting Algorithm". En Advances in Intelligent Systems and Computing, 31–42. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3750-9_3.
Texto completoAhmed, Reyan, Stephen Kobourov y Myroslav Kryven. "An FPT Algorithm for Bipartite Vertex Splitting". En Lecture Notes in Computer Science, 261–68. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22203-0_19.
Texto completoAng, C. H. y T. C. Tan. "New linear node splitting algorithm for R-trees". En Advances in Spatial Databases, 337–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63238-7_38.
Texto completoSetzer, Simon. "Split Bregman Algorithm, Douglas-Rachford Splitting and Frame Shrinkage". En Lecture Notes in Computer Science, 464–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02256-2_39.
Texto completoGorskikh, Olga. "Splitting Algorithm for Detecting Structural Changes in Predictive Relationships". En Advances in Data Mining. Applications and Theoretical Aspects, 405–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41561-1_30.
Texto completoMola, Francesco y Roberta Siciliano. "A Two-Stage Predictive Splitting Algorithm in Binary Segmentation". En Computational Statistics, 179–84. Heidelberg: Physica-Verlag HD, 1992. http://dx.doi.org/10.1007/978-3-662-26811-7_26.
Texto completoActas de conferencias sobre el tema "Splitting algorithm"
Wang, Liping y Wenhui Fan. "Research of Optimal Splitting Level of Splitting Algorithm". En 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 2018. http://dx.doi.org/10.1109/cybermatics_2018.2018.00154.
Texto completoWu, Liang, Guang Tian y Zhong Xie. "An Algorithm for Splitting Arbitrary Polygon". En 2009 Fifth International Conference on Natural Computation. IEEE, 2009. http://dx.doi.org/10.1109/icnc.2009.201.
Texto completoMontacié, Claude y Marie-José Caraty. "A silence/noise/music/speech splitting algorithm". En 5th International Conference on Spoken Language Processing (ICSLP 1998). ISCA: ISCA, 1998. http://dx.doi.org/10.21437/icslp.1998-597.
Texto completoShumilov, B. M. y S. M. Matanov. "Supercompact cubic multiwavelets and algorithm with splitting". En 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002586.
Texto completo"A Splitting Algorithm for Medical Image Denoising". En Special Session on Modelling and Simulation in Biology and Medicine. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004634407040709.
Texto completoShaheen, Ahmed Maher Abed y Kaydar M. Quboa. "Pole Splitting algorithm for UWB breast cancer imaging". En MELECON 2012 - 2012 16th IEEE Mediterranean Electrotechnical Conference. IEEE, 2012. http://dx.doi.org/10.1109/melcon.2012.6196462.
Texto completoGore, Ashutosh Deepak y Abhay Karandikar. "Power Controlled FCFS Splitting Algorithm for Wireless Networks". En MILCOM 2007 - IEEE Military Communications Conference. IEEE, 2007. http://dx.doi.org/10.1109/milcom.2007.4454867.
Texto completoTanab, Manal El, Yasmine Fahmy y Mohamed M. Khairy. "Opportunistic splitting algorithm for underlay cognitive radio networks". En 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2014. http://dx.doi.org/10.1109/icufn.2014.6876738.
Texto completoKohle y Schonbauer. "Segregation algorithm: splitting the training set improves learning". En International Joint Conference on Neural Networks. IEEE, 1989. http://dx.doi.org/10.1109/ijcnn.1989.118505.
Texto completoXiangping Qin y R. Berry. "A distributed splitting algorithm for exploiting multiuser diversity". En IEEE International Symposium on Information Theory, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isit.2003.1228385.
Texto completoInformes sobre el tema "Splitting algorithm"
O'Neill, Francis, Kristofer Lasko y Elena Sava. Snow-covered region improvements to a support vector machine-based semi-automated land cover mapping decision support tool. Engineer Research and Development Center (U.S.), noviembre de 2022. http://dx.doi.org/10.21079/11681/45842.
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