Literatura académica sobre el tema "Uncertainty principles"
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 "Uncertainty principles".
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 "Uncertainty principles"
McBride, Stephanie, Catherine Fitzgerald, Brian Hand, Michael Cronin y Mick Wilson. "Uncertainty Principles". Circa, n.º 96 (2001): 15. http://dx.doi.org/10.2307/25563696.
Texto completoGross, Michael. "Uncertainty principles". Current Biology 19, n.º 18 (septiembre de 2009): R831—R832. http://dx.doi.org/10.1016/j.cub.2009.09.011.
Texto completoJiang, Chunlan, Zhengwei Liu y Jinsong Wu. "Noncommutative uncertainty principles". Journal of Functional Analysis 270, n.º 1 (enero de 2016): 264–311. http://dx.doi.org/10.1016/j.jfa.2015.08.007.
Texto completoHkimi, Siwar, Hatem Mejjaoli y Slim Omri. "Dispersion’s Uncertainty Principles Associated with the Directional Short-Time Fourier Transform". Studia Scientiarum Mathematicarum Hungarica 57, n.º 4 (17 de diciembre de 2020): 508–40. http://dx.doi.org/10.1556/012.2020.57.4.1479.
Texto completoHleili, Khaled. "A variety of uncertainty principles for the Hankel-Stockwell transform". Open Journal of Mathematical Analysis 5, n.º 1 (29 de enero de 2021): 22–34. http://dx.doi.org/10.30538/psrp-oma2021.0079.
Texto completoBahri, Mawardi y Ryuichi Ashino. "A Variation on Uncertainty Principle and Logarithmic Uncertainty Principle for Continuous Quaternion Wavelet Transforms". Abstract and Applied Analysis 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3795120.
Texto completoFei, Minggang, Yubin Pan y Yuan Xu. "Some shaper uncertainty principles for multivector-valued functions". International Journal of Wavelets, Multiresolution and Information Processing 14, n.º 06 (noviembre de 2016): 1650043. http://dx.doi.org/10.1142/s0219691316500430.
Texto completoGhobber, Saifallah y Hatem Mejjaoli. "Deformed Wavelet Transform and Related Uncertainty Principles". Symmetry 15, n.º 3 (7 de marzo de 2023): 675. http://dx.doi.org/10.3390/sym15030675.
Texto completoBhat, Mohammad Younus, Aamir Hamid Dar, Irfan Nurhidayat y Sandra Pinelas. "Uncertainty Principles for the Two-Sided Quaternion Windowed Quadratic-Phase Fourier Transform". Symmetry 14, n.º 12 (15 de diciembre de 2022): 2650. http://dx.doi.org/10.3390/sym14122650.
Texto completoStark, Hans-Georg, Florian Lieb y Daniel Lantzberg. "Variance based uncertainty principles and minimum uncertainty samplings". Applied Mathematics Letters 26, n.º 2 (febrero de 2013): 189–93. http://dx.doi.org/10.1016/j.aml.2012.08.009.
Texto completoTesis sobre el tema "Uncertainty principles"
Erb, Wolfgang. "Uncertainty principles on Riemannian manifolds". kostenfrei, 2010. https://mediatum2.ub.tum.de/node?id=976465.
Texto completoPryor, Ronald L. "Principles of nonspecificity". Diss., Online access via UMI:, 2007.
Buscar texto completoIncludes bibliographical references.
Mercer, Leah Gwenyth. "Complementarity and the uncertainty principle as aesthetic principles : the practice and performance of The Physics Project". Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/29938/1/Leah_Mercer_Thesis.pdf.
Texto completoMercer, Leah Gwenyth. "Complementarity and the uncertainty principle as aesthetic principles : the practice and performance of The Physics Project". Queensland University of Technology, 2009. http://eprints.qut.edu.au/29938/.
Texto completoGillio, Emanuele F. (Emanuele Filiberto) 1973. "Lean principles applied to a supply chain with demand uncertainty". Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/34722.
Texto completoIncludes bibliographical references (leaves 74-75).
This thesis describes the work performed over a six and a half month internship at Eastman Kodak Company in Rochester, NY. The thesis focuses on the implementation of a lean manufacturing system, modeled after the Toyota Production System, in the Kodak color film business. The goal of the system is to systematically eliminate all forms of waste from the production process in an attempt to reduce costs and inventory. This thesis approaches the problem from two different points of view. On the one hand, it takes a high level view of the entire supply chain and describes how material and information should flow through the supply chain. It highlights where inventory buffers should be located and which operations should be improved in order to reduce the size of these buffers. Finally, this thesis highlights the importance of leveling the customer demand signal in order to implement a true pull system using Kanbans. On the other hand, this thesis describes the implementation of lean manufacturing tools such as Kanban systems and Heijunka boards in some Kodak operations. This work includes the use of tools such as visual signals, cellular manufacturing, Kanbans, Heijunka boards, etc. The work performed over the internship sets the foundation for the transformation of the Kodak supply chain into a lean supply chain capable of dealing with uncertain demand. Additionally, the work can easily be transferred and applied to other Kodak businesses such as paper and photochemicals.
by Emanuele F. Gillio.
S.M.
Essghaier, Fatma. "Collective decision making under qualitative possibilistic uncertainty : principles and characterization". Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30211/document.
Texto completoThis Thesis raises the question of collective decision making under possibilistic uncertainty. We propose several collective qualitative decision rules and show that in the context of a possibilistic representation of uncertainty, the use of an egalitarian pessimistic collective utility function allows us to get rid of the Timing Effect. Making a step further, we prove that if both the agents' preferences and the collective ranking of the decisions satisfy Dubois and Prade's axioms (1995, 1998) and some additional axioms relative to collective choice, in particular Pareto unanimity, then the egalitarian collective aggregation is compulsory. The picture is then completed by the proposition and the characterization of an optimistic counterpart of this pessimistic decision rule. Our axiomatic system can be seen as an ordinal counterpart of Harsanyi's theorem (1955). We prove this result in a formalism that is based on Von NeuMann and Morgenstern framework (1948) and compares possibilisitc lotteries. Besides, we propose a first attempt to provide a characterization of collective qualitative decision rules in Savage's formalism; where decisions are represented by acts rather than by lotteries. From an algorithmic standpoint, we consider strategy optimization in possibilistic decision trees using the decision rules characterized in the first part of this work. So, we provide an adaptation of the Dynamic Programming algorithm for criteria that satisfy the property of monotonicity and propose a Multi-Dynamic programming and a Branch and Bound algorithm for those that are not monotonic. Finally, we provide an empirical comparison of the different algorithms proposed. We measure the execution CPU times that increases linearly according to the size of the tree and it remains affordable in average even for big trees. Then, we study the accuracy percentage of the approximation of the pertinent exact algorithms by Dynamic Programming: It appears that for U-max ante criterion the approximation of Multi-dynamic programming is not so good. Yet, this is not so dramatic since this algorithm is polynomial (and efficient in practice). However, for U+min ante decision rule the approximation by Dynamic Programming is good and we can say that it should be possible to avoid a full Branch and Bound enumeration to find optimal strategies
Adamcik, Martin. "Collective reasoning under uncertainty and inconsistency". Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/collective-reasoning-under-uncertainty-and-inconsistency(7fab8021-8beb-45e7-8b45-7cb4fadd70be).html.
Texto completoAughenbaugh, Jason Matthew. "Managing Uncertainty in Engineering Design Using Imprecise Probabilities and Principles of Information Economics". Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11521.
Texto completoBjörnemo, Erik. "Energy Constrained Wireless Sensor Networks : Communication Principles and Sensing Aspects". Doctoral thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9519.
Texto completowisenet
Lantzberg, Daniel [Verfasser], Hans-Georg [Akademischer Betreuer] Stark, Peter [Gutachter] Maaß y Hans-Georg [Gutachter] Stark. "Quantum Frames and Uncertainty Principles arising from Symplectomorphisms / Daniel Lantzberg ; Gutachter: Peter Maaß, Hans-Georg Stark ; Betreuer: Hans-Georg Stark". Bremen : Staats- und Universitätsbibliothek Bremen, 2019. http://d-nb.info/1186248688/34.
Texto completoLibros sobre el tema "Uncertainty principles"
Principles of uncertainty. Boca Raton: CRC Press, 2011.
Buscar texto completoUnschaerferelationen: Experiment Raum = Uncertainty principles : spatial experiments. Wiesbaden: Nelte, 2002.
Buscar texto completoPrinciples of risk analysis: Decision making under uncertainty. Boca Raton, FL: Taylor & Francis, 2011.
Buscar texto completo1963-, Lakey Joseph D., ed. Time-frequency and time-scale methods: Adaptive decompositions, uncertainty principles, and sampling. Boston: Birkhauser, 2005.
Buscar texto completoHogan, Jeffrey A. Time-frequency and time-scale methods: Adaptive decompositions, uncertainty principles, and sampling. Boston, MA: Birkhauser, 2004.
Buscar texto completoGoing lean: How the best companies apply lean manufacturing principles to shatter uncertainty, drive innovation, and maximize profits. New York: American Management Association, 2008.
Buscar texto completoYahooda, Verdi. Principle of uncertainty. Cardiff: Howard Gardens Gallery, University of Wales Institute, 1999.
Buscar texto completoRuth, Brandon. The uncertainty principle. London: Jonathan Cape, 1997.
Buscar texto completoWilliams, Robyn. The uncertainty principle. Crows Nest, NSW: ABC Enterprises for the Australian Broadcasting Corp., 1991.
Buscar texto completoThe uncertainty principle. Chipping Norton, Oxon, UK: Waywiser Press, 2011.
Buscar texto completoCapítulos de libros sobre el tema "Uncertainty principles"
de Gosson, Maurice A. "Uncertainty Principles". En Symplectic Methods in Harmonic Analysis and in Mathematical Physics, 65–76. Basel: Springer Basel, 2011. http://dx.doi.org/10.1007/978-3-7643-9992-4_6.
Texto completoYoe, Charles. "Uncertainty". En Principles of Risk Analysis, 27–46. Second edition. | Boca Raton : Taylor and Francis, CRC Press, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429021121-2.
Texto completoKlyukanov, Igor E. "Uncertainty Principle". En Principles of Intercultural Communication, 34–54. Second edition. | New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429353475-3.
Texto completoKlir, George J. y Mark J. Wierman. "Principles of Uncertainty". En Uncertainty-Based Information, 107–33. Heidelberg: Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-7908-1869-7_4.
Texto completoCondon, Edward U. "Remarks on Uncertainty Principles". En Selected Scientific Papers of E.U. Condon, 93–96. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4613-9083-1_12.
Texto completoŞen, Zekâi. "Uncertainty and Modeling Principles". En Shallow and Deep Learning Principles, 141–243. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29555-3_4.
Texto completoGoodhart, C. A. E. "The Principles of Intermediation". En Money, Information and Uncertainty, 104–28. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-20175-4_5.
Texto completoShankar, R. "The Heisenberg Uncertainty Relations". En Principles of Quantum Mechanics, 237–46. New York, NY: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-0576-8_9.
Texto completoYoe, Charles. "Decision Making Under Uncertainty". En Principles of Risk Analysis, 651–97. Second edition. | Boca Raton : Taylor and Francis, CRC Press, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429021121-19.
Texto completoShankar, Ramamurti. "The Heisenberg Uncertainty Relations". En Principles of Quantum Mechanics, 245–54. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-7673-0_9.
Texto completoActas de conferencias sobre el tema "Uncertainty principles"
Benedetto, John J. y Paul J. Koprowski. "Graph theoretic uncertainty principles". En 2015 International Conference on Sampling Theory and Applications (SampTA). IEEE, 2015. http://dx.doi.org/10.1109/sampta.2015.7148912.
Texto completoTeke, Oguzhan y P. P. Vaidyanathan. "Discrete uncertainty principles on graphs". En 2016 50th Asilomar Conference on Signals, Systems and Computers. IEEE, 2016. http://dx.doi.org/10.1109/acssc.2016.7869622.
Texto completoNeedell, Deanna y Roman Vershynin. "Greedy signal recovery and uncertainty principles". En Electronic Imaging 2008, editado por Charles A. Bouman, Eric L. Miller y Ilya Pollak. SPIE, 2008. http://dx.doi.org/10.1117/12.776996.
Texto completoFrens, Ante M. "Reducing Contaminant Uncertainty from First Principles". En SPE Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 1999. http://dx.doi.org/10.2118/54349-ms.
Texto completoRidler, N. M. "Evaluating the uncertainty in measurements - general principles". En IEE Half-Day Colloquium on Uncertainties Made Easy. IEE, 1996. http://dx.doi.org/10.1049/ic:19960968.
Texto completoKoumpis, Nikolas P. y Dionysios S. Kalogerias. "Uncertainty Principles in Risk-Aware Statistical Estimation". En 2021 60th IEEE Conference on Decision and Control (CDC). IEEE, 2021. http://dx.doi.org/10.1109/cdc45484.2021.9682888.
Texto completoVališ, David y Kamila Hasilová. "PRINCIPLES FOR UNCERTAINTY ASSESSMENT IN KERNEL SMOOTHING ESTIMATIONS". En 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2019. http://dx.doi.org/10.7712/120219.6369.18408.
Texto completoCohen, Leon. "Uncertainty principles of the short-time Fourier transform". En SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, editado por Franklin T. Luk. SPIE, 1995. http://dx.doi.org/10.1117/12.211427.
Texto completoCastro, L. P., R. C. Guerra y N. M. Tuan. "Heisenberg uncertainty principles for an oscillatory integral operator". En ICNPAA 2016 WORLD CONGRESS: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. Author(s), 2017. http://dx.doi.org/10.1063/1.4972629.
Texto completoTropp, Joel A. "The sparsity gap: Uncertainty principles proportional to dimension". En 2010 44th Annual Conference on Information Sciences and Systems (CISS). IEEE, 2010. http://dx.doi.org/10.1109/ciss.2010.5464824.
Texto completoInformes sobre el tema "Uncertainty principles"
GREELEY-POLHEMUS GROUP INC WEST CHESTER PA. Guidelines for Risk and Uncertainty Analysis in Water Resources Planning. Volume 1. Principles - With Technical Appendices. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1992. http://dx.doi.org/10.21236/ada255399.
Texto completoUnal, Beyza, Julia Cournoyer, Calum Inverarity y Yasmin Afina. Uncertainty and complexity in nuclear decision-making. Royal Institute of International Affairs, marzo de 2022. http://dx.doi.org/10.55317/9781784135157.
Texto completoCIE. CIE 250:2022 Spectroradiometric Measurement of Optical Radiation Sources. International Commission on Illumination, junio de 2022. http://dx.doi.org/10.25039/tr.250.2022.
Texto completoTrainor, Edward L. The Uncertainty Principle and Operational Art. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1986. http://dx.doi.org/10.21236/ada436745.
Texto completoChen, P. Generalized Uncertainty Principle and Dark Matter. Office of Scientific and Technical Information (OSTI), enero de 2004. http://dx.doi.org/10.2172/826642.
Texto completoChen, Yu. Inverse Scattering via Heisenberg's Uncertainty Principle. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1996. http://dx.doi.org/10.21236/ada305113.
Texto completoChen, Pisin. The Generalized Uncertainty Principle and Black Hole Remnants. Office of Scientific and Technical Information (OSTI), junio de 2001. http://dx.doi.org/10.2172/784935.
Texto completoSoloviev, V. N. y Y. V. Romanenko. Economic analog of Heisenberg uncertainly principle and financial crisis. ESC "IASA" NTUU "Igor Sikorsky Kyiv Polytechnic Institute", mayo de 2017. http://dx.doi.org/10.31812/0564/2463.
Texto completoСоловйов, Володимир Миколайович y V. Saptsin. Heisenberg uncertainty principle and economic analogues of basic physical quantities. Transport and Telecommunication Institute, 2011. http://dx.doi.org/10.31812/0564/1188.
Texto completoSoloviev, V., V. Solovieva y V. Saptsin. Heisenberg uncertainity principle and economic analogues of basic physical quantities. Брама-Україна, 2014. http://dx.doi.org/10.31812/0564/1306.
Texto completo