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Статті в журналах з теми "Model of intermediate complexity"
Edwards, Neil R., David Cameron, and Jonathan Rougier. "Precalibrating an intermediate complexity climate model." Climate Dynamics 37, no. 7-8 (October 13, 2010): 1469–82. http://dx.doi.org/10.1007/s00382-010-0921-0.
Повний текст джерелаGutmann, Ethan, Idar Barstad, Martyn Clark, Jeffrey Arnold, and Roy Rasmussen. "The Intermediate Complexity Atmospheric Research Model (ICAR)." Journal of Hydrometeorology 17, no. 3 (March 1, 2016): 957–73. http://dx.doi.org/10.1175/jhm-d-15-0155.1.
Повний текст джерелаRoy, Manojit, Karin Harding, and Robert D. Holt. "Generalizing Levins metapopulation model in explicit space: Models of intermediate complexity." Journal of Theoretical Biology 255, no. 1 (November 2008): 152–61. http://dx.doi.org/10.1016/j.jtbi.2008.07.022.
Повний текст джерелаLehmann, B., D. Gyalistras, M. Gwerder, K. Wirth, and S. Carl. "Intermediate complexity model for Model Predictive Control of Integrated Room Automation." Energy and Buildings 58 (March 2013): 250–62. http://dx.doi.org/10.1016/j.enbuild.2012.12.007.
Повний текст джерелаHolden, P. B., N. R. Edwards, K. Fraedrich, E. Kirk, F. Lunkeit, and X. Zhu. "PLASIM-GENIE: a new intermediate complexity AOGCM." Geoscientific Model Development Discussions 8, no. 12 (December 18, 2015): 10677–710. http://dx.doi.org/10.5194/gmdd-8-10677-2015.
Повний текст джерелаGushchina, D. Yu, B. Dewitte, and S. A. Korkmazova. "Intraseasonal tropical variability in an intermediate complexity atmospheric model." Russian Meteorology and Hydrology 35, no. 4 (April 2010): 237–52. http://dx.doi.org/10.3103/s1068373910040011.
Повний текст джерелаHolden, Philip B., Neil R. Edwards, Klaus Fraedrich, Edilbert Kirk, Frank Lunkeit, and Xiuhua Zhu. "PLASIM–GENIE v1.0: a new intermediate complexity AOGCM." Geoscientific Model Development 9, no. 9 (September 21, 2016): 3347–61. http://dx.doi.org/10.5194/gmd-9-3347-2016.
Повний текст джерелаPerry, Joe N. "Host-Parasitoid Models of Intermediate Complexity." American Naturalist 130, no. 6 (December 1987): 955–57. http://dx.doi.org/10.1086/284759.
Повний текст джерелаMoore, J. Keith, Scott C. Doney, Joanie A. Kleypas, David M. Glover, and Inez Y. Fung. "An intermediate complexity marine ecosystem model for the global domain." Deep Sea Research Part II: Topical Studies in Oceanography 49, no. 1-3 (January 2001): 403–62. http://dx.doi.org/10.1016/s0967-0645(01)00108-4.
Повний текст джерелаEhrendorfer, Martin, and Ronald M. Errico. "An atmospheric model of intermediate complexity for data assimilation studies." Quarterly Journal of the Royal Meteorological Society 134, no. 636 (October 2008): 1717–32. http://dx.doi.org/10.1002/qj.329.
Повний текст джерелаДисертації з теми "Model of intermediate complexity"
Hosoe, Taro. "Stability of the global thermohaline circulation in an intermediate complexity ocean model." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401832.
Повний текст джерелаTolwinski-Ward, Susan E. "Inference on Tree-Ring Width and Paleoclimate Using a Proxy Model of Intermediate Complexity." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/241975.
Повний текст джерелаAngeloni, Michela <1993>. "Climate variability in an Earth system Model of Intermediate Complexity: from interannual to centennial timescales." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10152/1/plasim.pdf.
Повний текст джерелаBiro, Daniel. "Towards intermediate complexity systems biology models of bacterial growth and evolution." Thesis, Yeshiva University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10798623.
Повний текст джерелаModern biological research is currently canalized into two main modes of research: detailed, mechanistic descriptions, or big data collection and statistical descriptions. The former has the advantage of being conceptually tractable and fitting into an existing scientific paradigm. However, these detailed descriptions can suffer from an inability to be understood in the larger context of biological phenomena. On the other hand, the big data approaches, while closer to being able to capture the full depth of biological complexity, are limited in their ability to impart conceptual understanding to researchers. We put forward examples of an intermediate approach. The goal of this approach is to develop models which can be understood as abstractions of biological phenomena, while simultaneously being conducive to modeling and computational approaches. Firstly, we attempt to examine the phenomenon of modularity. Modularity is an ubiquitous phenomenon in biological systems, but its etiology is poorly understood. It has been previously shown that organisms that evolved in environments with lower levels of stability tend to display more modular organization of their gene regulatory networks, although theoretical predictions have failed to account for this. We put forward a neutral evolutionary model, where we posit the process of genome expansion through gene duplications acts as a driver for the evolution of modularity. This process occurs through the duplication of regulatory elements alongside the duplication of a gene, causing sub-networks to be generated which are more tightly coupled internally than externally, which gives rise to a modular architecture. Finally, we also generate an experimental system by which we can verify our model of the evolution of modularity. Using a long term experimental evolution setup, we evolve E. coli under fluctuating temperature environments for 600 generations in order to test if there is a measurable increase in the modularity of the gene regulatory networks of the organisms. This data will also be used in the future to test other hypotheses related to evolution under fluctuating environments. The second such model is a computational model of the properties of bacterial growth as a function of temperature. We describe a model composed of a chain of enzyme like actions, where the output of each enzyme in the chain becomes the substrate of the following enzyme. Using well known temperature dependence curves for enzyme activity and no further assumptions, we are then able to replicate the salient properties of bacterial growth curves at varying temperatures, including lag time, carrying capacity, and growth rate. Lastly, we extend these models to attempt to describe the ability of cancer cells to alter their phenotypes in ways that would be impossible for normal cells. We term this model the phenotypically pliant cells model and show that it can encapsulate important aspects of cancer cell behavior.
Grancini, Carlo. "Initial validation of an agile coupled atmosphere-ocean general circulation model." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25439/.
Повний текст джерелаSimmons, Christopher. "An investigation of carbon cycle dynamics since the last glacial maximum using a climate model of intermediate complexity." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121260.
Повний текст джерелаCette thèse détaille l'application du modèle du système climatique terrestre de l'Université de Victoria (version 2.9) dans le cadre de deux importants champs de recherche en modélisation paléoclimatique : l'augmentation du niveau de dioxyde de carbone (CO2) dans l'atmosphère durant la plus récente transition glaciaire-interglaciaire, ainsi que l'évolution du cycle du carbone durant l'Holocène. Le modèle utilisé dans cette étude est répertorié comme modèle de complexité intermédiaire (Claussen et al. 2002), offrant un traitement à la fois simplifié et exhaustif de la dynamique du système climatique terrestre et du cycle du carbone. Celui-ci comprend un modèle océanique tridimensionnel, un modèle de glace marine dynamique/thermodynamique, un modèle dynamique et global de la végétation, les sédiments océaniques ainsi qu'un traitement interactif du cycle du carbone organique et inorganique.Premièrement, une série de simulations transitoires sont effectuées afin de couvrir la période s'étendant du plus récent maximum glaciaire (LGM) jusqu'à aujourd'hui (2000 apr. J.-C.). Les simulations fondées uniquement sur une prescription des paramètres orbitaux et des calottes glaciaires ne reproduisent pas l'augmentation du CO2 dans l'atmosphère durant la période transitoire tel que mentionné ci-haut, mais exposent toutefois une certaine sensibilité (10-15 ppm) à de faibles (1.9 Tmol/an) variations dans le taux d'érosion. Dans le cas de simulations prenant en compte la gamme complète des effets radiatifs associés au CO2, par contre, la concentration du CO2 dans l'atmosphère s'avère beaucoup plus élevée (une augmentation de 20 ppm par rapport à celles sans effets radiatifs). Cette différence est causée par une plus importante ventilation de carbone inorganique dissous en eaux profondes ainsi qu'une diminution du taux d'absorption de CO2 par l'océan, qui s'explique en partie par une fonte accélérée de la glace marine dans l'hémisphère Sud. Le changement du régime de ventilation en profondeur a également pour effet de diminuer l'alcalinité marine à partir de la fin de la période de déglaciation, augmentant de 10ppm la concentration de CO2 dans l'atmosphère. La présence d'un réservoir de carbone terrestre an hautes latitudes fournit une source additionnelle de carbone, principalement durant les stages initiaux de la période de déglaciation, permettant ainsi aux niveaux de CO2 dans l'atmosphère d'atteindre les 240-250 ppm. En outre, ceci facilite la validation de nos résultats par rapport aux changements dans la concentration de carbonate observées depuis le dernier maximum glaciaire dans les profondeurs marines (Yu et al. 2010). Le faible taux d'érosion terrestre durant le maximum glaciaire et la période de déglaciation qui a suivi est d'autant plus significatif en raison d'un apport accru d'eau douce de fonte en provenance des calottes glaciaires Nord-Américaines. Deuxièmement, nos résultats quant au cycle du carbone durant l'Holocène pointent vers une certaine diminution du niveau de CO2 dans l'atmosphère se manifestant vers 6000 av. J.-C. et qui, en l'absence de forçage externe au modèle, devrait se maintenir jusqu'à aujourd'hui ; celle-ci semble toutefois varier (8-15 ppm) en fonction du mode de circulation océanique. De plus, la concentration atmosphérique de CO2 dans nos simulations démontre une importante sensibilité à l'étendue des barrières de glace en Antarctique, d'où notre conclusion qu'une présence accrue de glace marine durant l'Holocène (par rapport aux autres périodes interglaciaires) pourrait augmenter le niveau de CO2 atmosphérique de près de 5 ppm (effets physiques directs), et de pas moins de 10 ppm en considérant la gamme de modes de circulation océanique ainsi que les changements dans l'alcalinité marine.
Hoar, Mark Robert. "Statistical downscaling from an earth system model of intermediate complexity to reconstruct past climate gradients across the British Isles." Thesis, University of East Anglia, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396707.
Повний текст джерелаGomes, Hélène. "Gestion écosystémique et durabilité des pêcheries artisanales tropicales face aux changements globaux." Electronic Thesis or Diss., Guyane, 2022. http://www.theses.fr/2022YANE0004.
Повний текст джерелаGlobal changes induce high pressure on marine ecosystems, biodiversity and fisheries. In thatregard many scientists advocate the use of an ecosystem-based fisheries management (EBFM).However, the operationalization of such an ecosystem-based approach remains challenging. Thisthesis gives insight into the operationalization of EBFM for tropical coastal fisheries. To achievethat we propose a multi-species, multi-fleet and multi-criteria model of intermediate complexity(MICE), taking into account the impacts of global changes. The model is calibrated for theGuyanese small-scale coastal fishery. At local scale, global warming, the increase of populationand the variations of mangrove surface are considered as the main drivers of global changes.From the calibrated model, several fishing management strategies and environmental scenariosare compared in the long-run. In this context, the first results published (chapter 3) show thedetrimental impact of climate change on both marine biodiversity and fishery production. Thispaper also highlights the major role of ecological competition between species. Then, in thechapter 4, by comparing the bio-economic results obtained under each fishing managementstrategy, this research demonstrates the interest of Ecoviability strategies in terms ofsustainability and ecologico-economic reconciliation. The last results displayed in this thesis, inchapter 5, underline the positive impact of mangrove on ecologico-economic sustainability of thecoastal fishery, even if it is insufficient to balance the negative impact of warming. Beyond theseresults, this thesis brings a series of important transverse contributions. First, methodologically,this research permits to show the benefits of MICE to operationalize EBFM. Then, by highlightingthe major ecological factors of the ecosystem with on the one hand the interaction ofcompetition and on the other hand the environmental filters, the work sheds light on theecological complexities necessary for the EBFM. Finally, by evaluating and comparing theecologico-economic performances of several fishing strategies, this research permits to outlinepolicy recommendations to move towards the sustainability of the Guyanese coastal fishery andtowards EBFM, in the face of global changes
Schuster, Swetlana. "Lexical gaps and morphological complexity : the role of intermediate derivational steps." Thesis, University of Oxford, 2018. http://ora.ox.ac.uk/objects/uuid:41346813-951f-4284-9fe1-39bc2231999b.
Повний текст джерелаLaurence, Harold A. IV. "An exploratory study of cognitive complexity at a military intermediate service school." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20515.
Повний текст джерелаEducational Leadership
Sarah Jane Fishback
The military devotes significant resources and time in the development of officers through education. Recently, there has been a great deal of emphasis placed on military Intermediate Service Schools (ISS’s) to enhance the ability of graduates to think with greater cognitive complexity in order to solve the kinds of problems they may face after graduation. The military environment in which these mid-career officer students will serve is highly complex and requires a significant ability to generate solutions to unique and complex problems. One hallmark of a developmental adult educational experience is the advancement of the student to higher levels of cognitive complexity. The purpose of this research was to determine if there was a relationship between the cognitive complexity of faculty, students, and expectations for student graduates, at a military Intermediate Service School. Along with the simultaneous measure of cognitive complexity, via a survey administration of the LEP instrument, the researcher also developed a technique for translating learning objectives from Blooms taxonomy into a corresponding Perry position. This translation method was used to translate the college learning objectives into an expected Perry position for graduates of the college. The study also included demographic data to look for significant results regarding a number of independent variables. For faculty only these included teaching department, years of teaching experience, age, and military status. For both populations the variables studied included education level, gender, combat experience and combat trauma, branch of service, commissioning source, and years of active duty service. The study found that the mean cognitive complexity of entering students (CCI = 360) was lower than the cognitive complexity required of graduates (CCI = 407). However, the faculty mean cognitive complexity (CCI = 398) was not significantly different from a student graduate. The faculty results indicated that there were no statistically significant relations between the independent variables studied and the measured cognitive complexity. For students there was a statistically significant relation between measured cognitive complexity and gender.
Книги з теми "Model of intermediate complexity"
E, Arnold Jeanne, ed. Emergent complexity: The evolution of intermediate societies. Ann Arbor, Mich: International Monographs in Prehistory, 1996.
Знайти повний текст джерелаA, Mnich Marc, Ames Research Center, and United States. Army Aviation Research and Technology Activity., eds. Minimum-complexity helicopter simulation math model. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.
Знайти повний текст джерелаLeRoy, Ward J., ed. Program management complexity: A competency model. Boca Raton, FL: Auerbach Publications, 2011.
Знайти повний текст джерелаLomas, Dennis Ray. Model-driven object recognition: Complexity issues. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.
Знайти повний текст джерелаA, Mnich Marc, Ames Research Center, and United States. Army Aviation Research and Technology Activity., eds. Minimum-complexity helicopter simulation math model. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.
Знайти повний текст джерелаLomas, Dennis R. Model-driven object recognition: Complexity issues. Toronto: University of Toronto, Dept. of Computer Science, 1992.
Знайти повний текст джерелаCaballero, Ricardo J. Fire sales in a model of complexity. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2009.
Знайти повний текст джерелаGorban, Alexander N., and Dirk Roose, eds. Coping with Complexity: Model Reduction and Data Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-14941-2.
Повний текст джерелаDirk, Roose, and SpringerLink (Online service), eds. Coping with Complexity: Model Reduction and Data Analysis. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Знайти повний текст джерелаKaplow, Louis. A model of the optimal complexity of rules. Cambridge, MA: National Bureau of Economic Research, 1992.
Знайти повний текст джерелаЧастини книг з теми "Model of intermediate complexity"
Haslbeck, Maximilian P. L., and Peter Lammich. "For a Few Dollars More." In Programming Languages and Systems, 292–319. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72019-3_11.
Повний текст джерелаGanopolski, Audrey, and Stefan Rahmstorf. "Stability and Variability of the Thermohaline Circulation in the Past and Future: a Study with a Coupled Model of Intermediate Complexity." In Geophysical Monograph Series, 261–75. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm126p0261.
Повний текст джерелаHuybrechts, P., H. Goelzer, I. Janssens, E. Driesschaert, T. Fichefet, H. Goosse, and M. F. Loutre. "Response of the Greenland and Antarctic Ice Sheets to Multi-Millennial Greenhouse Warming in the Earth System Model of Intermediate Complexity LOVECLIM." In The Earth's Cryosphere and Sea Level Change, 397–416. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2063-3_7.
Повний текст джерелаDi Cosmo, Lucio. "Plot Level Estimation Procedures and Models." In Springer Tracts in Civil Engineering, 119–49. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98678-0_6.
Повний текст джерелаCassaigne, Julien. "Constructing Infinite Words of Intermediate Complexity." In Developments in Language Theory, 173–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45005-x_15.
Повний текст джерелаMiller, Christopher J., Nathaniel J. Jellinek, Ali Damavandy, Jeremy R. Etzkorn, Joseph F. Sobanko, and Thuzar M. Shin. "Basic and Intermediate Complexity Nail Procedures." In Scher and Daniel's Nails, 595–606. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65649-6_34.
Повний текст джерелаGolosovsky, Michael. "Model Validation." In SpringerBriefs in Complexity, 45–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28169-4_5.
Повний текст джерелаNelles, Oliver. "Model Complexity Optimization." In Nonlinear System Identification, 157–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3_7.
Повний текст джерелаNelles, Oliver. "Model Complexity Optimization." In Nonlinear System Identification, 175–231. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47439-3_7.
Повний текст джерелаSalimov, Paul V. "Constructing Infinite Words of Intermediate Arithmetical Complexity." In Language and Automata Theory and Applications, 696–701. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00982-2_59.
Повний текст джерелаТези доповідей конференцій з теми "Model of intermediate complexity"
Rouson, Damian, Ethan D. Gutmann, Alessandro Fanfarillo, and Brian Friesen. "Performance portability of an intermediate-complexity atmospheric research model in coarray Fortran." In SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3144779.3169104.
Повний текст джерелаvan Leeuwen, Peter Jan. "Efficient nonlinear data assimilation for oceanic models of intermediate complexity." In 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2011. http://dx.doi.org/10.1109/ssp.2011.5967700.
Повний текст джерелаCasini, Luca, and Bob L. T. Sturm. "Tradformer: A Transformer Model of Traditional Music Transcriptions." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/681.
Повний текст джерелаTonon, Fulvio, Ha-Rok Bae, Ramana Grandhi, and Chris Pettit. "Using Random Set Theory to Calculate Reliability Bounds in Situations of Little Information: An Application to a Finite Element Intermediate Complexity Wing Model." In 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-1583.
Повний текст джерелаArmstrong, Laura, Sarah Baxter, and Philip A. Voglewede. "Simplified Model of the Knee as a 2-Dimensional Spring Mechanism." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49797.
Повний текст джерелаThompson, Thomas V., and Elaine Cohen. "Direct Haptic Rendering of Complex Trimmed NURBS Models." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0015.
Повний текст джерелаChatterjee, Riju, Ashutosh Patel, Nirmal Kumar, and Pramod Kumar. "Semi-Analytical Model for High-Speed Rotor Whirl Prediction: An Assumed Modes Formulation for an Axisymmetric Rotor With Non-Uniform Properties." In ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-82632.
Повний текст джерелаWang, Ming-Tzong. "An Object-Oriented Feature-Based CAD/CAPP/CAM Integration Framework." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0076.
Повний текст джерелаCopstein, Bernardo, and Flávio Oliveira. "Automated Test Script Generation for Model-Based Testing." In Simpósio Brasileiro de Qualidade de Software. Sociedade Brasileira de Computação - SBC, 2005. http://dx.doi.org/10.5753/sbqs.2005.16167.
Повний текст джерелаHeymans, Nicole. "Implementation of Fractional Calculus Using Hierarchical Models: Application to the Terminal Transition of a Complex Polymer." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48396.
Повний текст джерелаЗвіти організацій з теми "Model of intermediate complexity"
Molavi, Pooya, Alireza Tahbaz-Salehi, and Andrea Vedolin. Model Complexity, Expectations, and Asset Prices. Cambridge, MA: National Bureau of Economic Research, January 2021. http://dx.doi.org/10.3386/w28408.
Повний текст джерелаHARRIS, RICHARD N., WILLIAM F. CHAMBERS, and DONALD J. BRAGG JR. Server Complexity, A Model for Managing Resources. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/791876.
Повний текст джерелаBelloch, Guy, and John Greiner. A Parallel Complexity Model for Functional Languages. Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/ada288589.
Повний текст джерелаCaballero, Ricardo, and Alp Simsek. Fire Sales in a Model of Complexity. Cambridge, MA: National Bureau of Economic Research, November 2009. http://dx.doi.org/10.3386/w15479.
Повний текст джерелаKaplow, Louis. A Model of the Optimal Complexity of Rules. Cambridge, MA: National Bureau of Economic Research, January 1992. http://dx.doi.org/10.3386/w3958.
Повний текст джерелаLutz, Carsten, Ulrike Sattler, and Lidia Tendera. The Complexity of Finite Model Reasoning in Description Logics. Technische Universität Dresden, 2002. http://dx.doi.org/10.25368/2022.123.
Повний текст джерелаDey, Samrat Kumar, Syed Salauddin Mohammad Tariq, Md Shariful Islam, and Golam Md Muradul Bashir. Cognitive complexity: A model for distributing equivalent programming problems. Peeref, April 2023. http://dx.doi.org/10.54985/peeref.2304p6816072.
Повний текст джерелаNeiman, Brent. A State-Dependent Model of Intermediate Goods Pricing. Cambridge, MA: National Bureau of Economic Research, August 2010. http://dx.doi.org/10.3386/w16283.
Повний текст джерелаFreund, Robert M., and Jorge Veraz. Equivalence of Convex Problem Geometry and Computational Complexity in the Separation Oracle Model. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada495929.
Повний текст джерелаZhang, Ye. Final Report: Optimal Model Complexity in Geological Carbon Sequestration: A Response Surface Uncertainty Analysis. Office of Scientific and Technical Information (OSTI), January 2018. http://dx.doi.org/10.2172/1417199.
Повний текст джерела