Academic literature on the topic 'FLEXIBLE COMPUTATION'
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Journal articles on the topic "FLEXIBLE COMPUTATION"
Kozlov, Andrei S., and Timothy Q. Gentner. "Central auditory neurons display flexible feature recombination functions." Journal of Neurophysiology 111, no. 6 (March 15, 2014): 1183–89. http://dx.doi.org/10.1152/jn.00637.2013.
Full textSun, Jiameng, Binrui Zhu, Jing Qin, Jiankun Hu, and Jixin Ma. "Confidentiality-Preserving Publicly Verifiable Computation Schemes for Polynomial Evaluation and Matrix-Vector Multiplication." Security and Communication Networks 2018 (June 21, 2018): 1–15. http://dx.doi.org/10.1155/2018/5275132.
Full textKwon, Dongup, Wonsik Lee, Dongryeong Kim, Junehyuk Boo, and Jangwoo Kim. "SmartFVM: A Fast, Flexible, and Scalable Hardware-based Virtualization for Commodity Storage Devices." ACM Transactions on Storage 18, no. 2 (May 31, 2022): 1–27. http://dx.doi.org/10.1145/3511213.
Full textZhang, Weixiong. "Iterative state-space reduction for flexible computation." Artificial Intelligence 126, no. 1-2 (February 2001): 109–38. http://dx.doi.org/10.1016/s0004-3702(00)00066-7.
Full textLi, Lian, and Zhi Xin Huang. "Research on the Smart Grid Dispatching System Based on Cloud Computing." Applied Mechanics and Materials 385-386 (August 2013): 1730–33. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1730.
Full textMurray, Megan H., and Jeffrey D. Blume. "FDRestimation: Flexible False Discovery Rate Computation in R." F1000Research 10 (June 3, 2021): 441. http://dx.doi.org/10.12688/f1000research.52999.1.
Full textMurray, Megan H., and Jeffrey D. Blume. "FDRestimation: Flexible False Discovery Rate Computation in R." F1000Research 10 (October 19, 2021): 441. http://dx.doi.org/10.12688/f1000research.52999.2.
Full textZhang, Yu, Jianxin Wu, Jianfei Cai, and Weiyao Lin. "Flexible Image Similarity Computation Using Hyper-Spatial Matching." IEEE Transactions on Image Processing 23, no. 9 (September 2014): 4112–25. http://dx.doi.org/10.1109/tip.2014.2344296.
Full textBauchau, Olivier A. "Parallel computation approaches for flexible multibody dynamics simulations." Journal of the Franklin Institute 347, no. 1 (February 2010): 53–68. http://dx.doi.org/10.1016/j.jfranklin.2009.10.001.
Full textFukui, Masaki, Jun Tanida, and Yoshiki Ichioka. "Flexible-structured computation based on optical array logic." Applied Optics 29, no. 11 (April 10, 1990): 1604. http://dx.doi.org/10.1364/ao.29.001604.
Full textDissertations / Theses on the topic "FLEXIBLE COMPUTATION"
Xu, Ming. "Robust and flexible multi-scale medial axis computation." Thesis, University of Birmingham, 2001. http://etheses.bham.ac.uk//id/eprint/17/.
Full textGog, Ionel Corneliu. "Flexible and efficient computation in large data centres." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/271804.
Full textRadul, Alexey. "Propagation networks : a flexible and expressive substrate for computation." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54635.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 167-174).
In this dissertation I propose a shift in the foundations of computation. Modem programming systems are not expressive enough. The traditional image of a single computer that has global effects on a large memory is too restrictive. The propagation paradigm replaces this with computing by networks of local, independent, stateless machines interconnected with stateful storage cells. In so doing, it offers great flexibility and expressive power, and has therefore been much studied, but has not yet been tamed for general-purpose computation. The novel insight that should finally permit computing with general-purpose propagation is that a cell should not be seen as storing a value, but as accumulating information about a value. Various forms of the general idea of propagation have been used with great success for various special purposes; perhaps the most immediate example is constraint propagation in constraint satisfaction systems. This success is evidence both that traditional linear computation is not expressive enough, and that propagation is more expressive. These special-purpose systems, however, are all complex and all different, and neither compose well, nor interoperate well, nor generalize well. A foundational layer is missing. I present in this dissertation the design and implementation of a prototype general-purpose propagation system. I argue that the structure of the prototype follows from the overarching principle of computing by propagation and of storage by accumulating information-there are no important arbitrary decisions. I illustrate on several worked examples how the resulting organization supports arbitrary computation; recovers the expressivity benefits that have been derived from special-purpose propagation systems in a single general-purpose framework, allowing them to compose and interoperate; and offers further expressive power beyond what we have known in the past. I reflect on the new light the propagation perspective sheds on the deep nature of computation.
by Alexey Andreyevich Radul.
Ph.D.
Zukowski, Ulrich. "Flexible computation of the well-founded semantics of normal logic programs." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=964404036.
Full textSong, Weihong. "A real space approach to LEED computation with flexible local mesh refinement." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B39849004.
Full textSong, Weihong, and 宋慰鴻. "A real space approach to LEED computation with flexible local mesh refinement." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B39849004.
Full textPriddle, Jacob William. "Efficient and flexible Bayesian synthetic likelihood via transformations." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/205902/1/Jacob_Priddle_Thesis.pdf.
Full textBuss, Aaron Thomas. "Closing the developmental loop on the behavioral and neural dynamics of flexible rule-use." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4949.
Full textThyagarajan, Senthilmurugan. "Improvements to strain computation and reliabilty analysis of flexible pavements in the mechanistic-empirical pavement design guide." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Spring2009/s_thyagarajan_0042309.pdf.
Full textTitle from PDF title page (viewed on Feb. 18, 2010). "Department of Civil and Environmental Engineering." Includes bibliographical references (p. 167-169).
Li, Qiang. "Effects of Adaptive Discretization on Numerical Computation using Meshless Method with Live-object Handling Applications." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14480.
Full textBooks on the topic "FLEXIBLE COMPUTATION"
Portes, Jacob. Flexible Computation in Neural Circuits. [New York, N.Y.?]: [publisher not identified], 2022.
Find full textPai, P. Frank. Highly flexible structures: Modeling, computation, and experimentation. Reston, Va: American Institute of Aeronautics and Astronautics, 2007.
Find full textXu, M. Robust and flexible multi-scale medial axis computation. Birmingham: University of Birmingham, 2001.
Find full textP, Giesy Daniel, Langley Research Center, and United States. National Aeronautics and Space Administration., eds. Algorithms for efficient computation of transfer functions for large order flexible systems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.
Find full textTran, Fleischer Van, and Hugh L. Dryden Flight Research Center, eds. Methods for in-flight wing shape predictions of highly flexible unmanned aerial vehicles: Formulation of Ko displacement theory. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 2010.
Find full textSimeon, Bernd. Computational Flexible Multibody Dynamics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35158-7.
Full textYao, Shen Ji, and United States. National Aeronautics and Space Administration., eds. Computational control of flexible aerospace systems. Greensboro, N.C: North Carolina A&T State University, 1994.
Find full textA, Brubaker Thomas, Shults James R, and United States. National Aeronautics and Space Administration., eds. Computational tools for multi-linked flexible structures. [Washington, DC: National Aeronautics and Space Administration, 1990.
Find full textIde, Hiroshi. Unsteady full potential aeroelastic computations for flexible configurations. New York: AIAA, 1987.
Find full textEgg, Markus. Flexible semantics for reinterpretation phenomena. Stanford, Calif: Center for the Study of Language and Information, 2005.
Find full textBook chapters on the topic "FLEXIBLE COMPUTATION"
Eidenbenz, Stephan, Aris Pagourtzis, and Peter Widmayer. "Flexible Train Rostering." In Algorithms and Computation, 615–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24587-2_63.
Full textEndres, Markus, and Erich Glaser. "Indexing for Skyline Computation." In Flexible Query Answering Systems, 31–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27629-4_6.
Full textSadeh-Or, Eran, and Gal A. Kaminka. "AnySURF: Flexible Local Features Computation." In Advanced Agent Technology, 270–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27216-5_17.
Full textSadeh-Or, Eran, and Gal A. Kaminka. "AnySURF: Flexible Local Features Computation." In Lecture Notes in Computer Science, 174–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32060-6_15.
Full textSingla, Samriddhi, and Ahmed Eldawy. "Flexible Computation of Multidimensional Histograms." In Spatial Gems, Volume 1, 119–30. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3548732.3548746.
Full textHuang, Zhi-Dong, Sheung-Hung Poon, and Chun-Cheng Lin. "Boundary Labeling with Flexible Label Positions." In Algorithms and Computation, 44–55. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04657-0_7.
Full textKao, Ming-Yang, Manan Sanghi, and Robert Schweller. "Flexible Word Design and Graph Labeling." In Algorithms and Computation, 48–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11940128_7.
Full textRios S., Fredy H., Lukas König, and Hartmut Schmeck. "Stigmergy-Based Scheduling of Flexible Loads." In Applications of Evolutionary Computation, 475–90. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31204-0_31.
Full textFiorentino, Nicola, Cristian Molinaro, and Irina Trubitsyna. "Optimizing the Computation of Approximate Certain Query Answers over Incomplete Databases." In Flexible Query Answering Systems, 48–60. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27629-4_8.
Full textSadakane, Kunihiko. "Space-Efficient Data Structures for Flexible Text Retrieval Systems." In Algorithms and Computation, 14–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36136-7_2.
Full textConference papers on the topic "FLEXIBLE COMPUTATION"
Zhang, Lida, Abdolghani Ebrahimi, and Diego Klabjan. "Layer Flexible Adaptive Computation Time." In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9534317.
Full textRombado, Gabriel, Nathan Cooke, Dharma Pasala, Xianglei Ni, Andrew Low, and Arya Majed. "Efficient Computation of Irregular Wave Wire Stresses in Flexible Risers." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78405.
Full textKANDIL, OSAMA, and H. CHUANG. "Unsteady flow computation of oscillating flexible wings." In 31st Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1990. http://dx.doi.org/10.2514/6.1990-937.
Full textGawronski, Wodek. "Computation of H∞ norm for flexible structures." In 1993 American Control Conference. IEEE, 1993. http://dx.doi.org/10.23919/acc.1993.4793077.
Full textSong, Linqi, Sundara Rajan Srinivasavaradhan, and Christina Fragouli. "The benefit of being flexible in distributed computation." In 2017 IEEE Information Theory Workshop (ITW). IEEE, 2017. http://dx.doi.org/10.1109/itw.2017.8278019.
Full textTanida, Jun, Masaki Fukui, and Yoshiki Ichioka. "Flexible-Structured Computation Base on Optical Array Logic." In Optical Computing. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/optcomp.1989.wa3.
Full textInui, Masatomo, Nobuyuki Umezu, and Yuuki Shinozuka. "A Comparison of Two Methods for Geometric Milling Simulation Accelerated by GPU." In ASME/ISCIE 2012 International Symposium on Flexible Automation. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/isfa2012-7170.
Full textHoljevac, Ninoslav, Tomislav Capuder, Igor Kuzle, Ning Zhang, and Chongquing Kang. "Modelling Aspects of Flexible Multi-Energy Microgrids." In 2018 Power Systems Computation Conference (PSCC). IEEE, 2018. http://dx.doi.org/10.23919/pscc.2018.8442468.
Full textXu, Lingyu, Na Zhang, Wentao Huang, and Shijie Sun. "Multi-text Fusion Computation Based on Flexible Interval Control." In 2008 9th International Conference for Young Computer Scientists (ICYCS). IEEE, 2008. http://dx.doi.org/10.1109/icycs.2008.105.
Full textZhu, Jinbao, and Songze Li. "Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff." In 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022. http://dx.doi.org/10.1109/isit50566.2022.9834535.
Full textReports on the topic "FLEXIBLE COMPUTATION"
Beach, Robert, Duncan Prahl, and Rich Lange. Computational Fluid Dynamics Analysis of Flexible Duct Junction Box Design. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1117056.
Full textBeach, Robert, Duncan Prahl, and Rich Lange. Computational Fluid Dynamics Analysis of Flexible Duct Junction Box Design. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1220913.
Full textBergen, Benjamin Karl. FleCSI. Developing Flexible Computational Science Infrastructure for Multi-Physics Application Development. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1237413.
Full textBergen, Benjamin Karl. The Flexible Computational Science Infrastructure (FleCSI): Overview & Control Model Updates. Office of Scientific and Technical Information (OSTI), June 2018. http://dx.doi.org/10.2172/1440504.
Full textCohen, Jonathan D. Second Generation Flexible Computing Environment for Computational Modeling of Brain Function and Neuroimaging Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada530764.
Full textCook, Joshua, Laura Ray, and James Lever. Dynamics modeling and robotic-assist, leader-follower control of tractor convoys. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43202.
Full textHeymsfield, Ernie, and Jeb Tingle. State of the practice in pavement structural design/analysis codes relevant to airfield pavement design. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40542.
Full textGonzález-Montaña, Luis Antonio. Semantic-based methods for morphological descriptions: An applied example for Neotropical species of genus Lepidocyrtus Bourlet, 1839 (Collembola: Entomobryidae). Verlag der Österreichischen Akademie der Wissenschaften, November 2021. http://dx.doi.org/10.1553/biosystecol.1.e71620.
Full textWu, Yingjie, Selim Gunay, and Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/ytgv8834.
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