Bibliografías temáticas / Mathematical model

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Literatura académica sobre el tema "Mathematical model"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 9 de junio de 2025

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Artículos de revistas sobre el tema "Mathematical model"

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Kumar, Jitender, and V. K. Kukreja. "Mathematical Model of Pulp Washing Using Mathematica." MATEC Web of Conferences 57 (2016): 05008. http://dx.doi.org/10.1051/matecconf/20165705008.

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Połowniak, Piotr, and Mariusz Sobolak. "Mathematical model of globoid worm for use of generating CAD model." Mechanik, no. 2 (February 2015): 145/31. http://dx.doi.org/10.17814/mechanik.2015.2.53.

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Stehney, Ann K., Sarah Flannery, and David Flannery. "Mathematical Model." Women's Review of Books 19, no. 1 (October 2001): 7. http://dx.doi.org/10.2307/4023851.

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Rifki Taufik, Muhammad, Dwi Lestari, and Tri Wijayanti Septiarini. "Mathematical Model for Vaccinated Tuberculosis Disease with VEIT Model." International Journal of Modeling and Optimization 5, no. 3 (June 2015): 192–97. http://dx.doi.org/10.7763/ijmo.2015.v5.460.

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ROTARU, Constantin, Oliver CIUICĂ, Eduard MIHAI, Ionică CÎRCIU, and Radu DINCĂ. "SIMPLIFIED MATHEMATICAL MODEL FOR AIRCRAFTSRESPONSE CHARACTERISTICS." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (June 24, 2016): 55–60. http://dx.doi.org/10.19062/2247-3173.2016.18.1.7.

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Wan, Delong, and Huiping Zeng. "Water environment mathematical model mathematical algorithm." IOP Conference Series: Earth and Environmental Science 170 (July 2018): 032133. http://dx.doi.org/10.1088/1755-1315/170/3/032133.

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Bаzhanova, А. Yu, M. G. Suryaninov, and G. B. Shotadze. "Finite elements mathematical model of geometric nonlinearity." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 2 (June 15, 2015): 138–44. http://dx.doi.org/10.15276/opu.2.46.2015.25.

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Rani, Shruti. "Mathematical Model on Reliability with Three Units." International Journal of Science and Research (IJSR) 10, no. 9 (September 27, 2021): 1107–11. https://doi.org/10.21275/sr21916213532.

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TRIVEDI, PRATIK H. "An Appropriate Mathematical Model for A Product." Global Journal For Research Analysis 3, no. 5 (June 15, 2012): 11–12. http://dx.doi.org/10.15373/22778160/may2014/5.

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Ambhore, Shubham A., and Navneet K. Lamba. "Lumpy Skin Disease: A Mathematical Model Application." Indian Journal Of Science And Technology 18, no. 9 (March 3, 2025): 755–62. https://doi.org/10.17485/ijst/v18i9.2894.

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Objectives: The purpose of the study is to decrease the value of reproduction number under the value of 1 for the purpose of eradicating Lumpy Skin Disease (LSD). Method: We provide three cases giving the basic reproduction numbers of few of the original systems’ subsystems to calculate 𝑅0 and provide a clearer grasp of its structure. Finding: The value of basic reproduction number for the Susceptible-Infected (S-I) epidemiological model is determined to establish the fundamental reproduction number by comparing it to the basic reproduction numbers of simplified subsystems in existing S-I models and present some intervention technique for the reduction of this value to control the transmission of the LSD. Novelty: LSD is not zoonotic; people can’t get infected with it. Most of the epidemiological studies of LSD concentrate on curing the disease solely in cattle; however, they neglect to consider the possibility of human infection from contact with infected cattle. But we assume the infection on people through blood-feeding insects, certain species of flies and mosquitoes as well as through infected cattle that server of LSD Virus. Keywords: Lumpy Skin Disease; Mathematical Modelling; Reproduction Number
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Tesis sobre el tema "Mathematical model"

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Tonner, Jaromír. "Overcomplete Mathematical Models with Applications." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-233893.

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Chen, Donoho a Saunders (1998) studují problematiku hledání řídké reprezentace vektorů (signálů) s použitím speciálních přeurčených systémů vektorů vyplňujících prostor signálu. Takovéto systémy (někdy jsou také nazývány frejmy) jsou typicky vytvořeny buď rozšířením existující báze, nebo sloučením různých bazí. Narozdíl od vektorů, které tvoří konečně rozměrné prostory, může být problém formulován i obecněji v rámci nekonečně rozměrných separabilních Hilbertových prostorů (Veselý, 2002b; Christensen, 2003). Tento funkcionální přístup nám umožňuje nacházet v těchto prostorech přesnější reprezentace objektů, které, na rozdíl od vektorů, nejsou diskrétní. V této disertační práci se zabývám hledáním řídkých representací v přeurčených modelech časových řad náhodných veličin s konečnými druhými momenty. Numerická studie zachycuje výhody a omezení tohoto přístupu aplikovaného na zobecněné lineární modely a na vícerozměrné ARMA modely. Analýzou mnoha numerických simulací i modelů reálných procesů můžeme říci, že tyto metody spolehlivě identifikují parametry blízké nule, a tak nám umožňují redukovat původně špatně podmíněný přeparametrizovaný model. Tímto významně redukují počet odhadovaných parametrů. V konečném důsledku se tak nemusíme starat o řády modelů, jejichž zjišťování je většinou předběžným krokem standardních technik. Pro kratší časové řady (100 a méně vzorků) řídké odhady dávají lepší predikce v porovnání s těmi, které jsou založené na standardních metodách (např. maximální věrohodnosti v MATLABu - MATLAB System Identification Toolbox (IDENT)). Pro delší časové řady (500 a více) obě techniky dávají v podstatě stejně přesné predikce. Na druhou stranu řešení těchto problémů je náročnější, a to i časově, nicméně výpočetní doba je stále přijatelná.
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Jones, Jennifer Grace. "A mathematical model of emphysema." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269229.

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Durfee, Lucille J. "BIO-MATHEMATICS: INTRODUCTION TO THE MATHEMATICAL MODEL OF THE HEPATITIS C VIRUS." CSUSB ScholarWorks, 2016. https://scholarworks.lib.csusb.edu/etd/428.

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In this thesis, we will study bio-mathematics. We will introduce differential equations, biological applications, and simulations with emphasis in molecular events. One of the first courses of action is to introduce and construct a mathematical model of our biological element. The biological element of study is the Hepatitis C virus. The idea in creating a mathematical model is to approach the biological element in small steps. We will first introduce a block (schematic) diagram of the element, create differential equations that define the diagram, convert the dimensional equations to non-dimensional equations, reduce the number of parameters, identify the important parameters, and analyze the results. These results will tell us which variables must be adjusted to prevent the Hepatitis C virus from becoming chronic.
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Di, Domenico Chiara. "A mathematical model for migraine aura." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12350/.

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Nella tesi è descritto un modello matematico per l'aura emicranica e, più precisamente, per lo scotoma scintillante (schema di fortificazione) e per la Cortical Spreading Depression, il fenomeno neuropatofisiologico alla base dell'aura. In particolare è spiegato un modello cinematico per l'evoluzione della CSD nella corteccia visiva primaria, considerata un mezzo debolmente eccitabile, la mappa retino-corticale e il modello, tramite fibrato, dei Pinwheels di V1.
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Thorsen, Kjetil. "Mathematical Model of the Geomagnetic Field." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9329.

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<p>First comes a description of a mathematical model of the geomagnetic field. Then some discussion of the classical non-uniqueness results of Backus. Further we look at more recent results concerning reconstruction of the geomagnetic field from intensity and the normal component of the field. New stability estimate for this reconstruction is obtained.</p>
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Cho, Jae Hyun. "Computer aids for mathematical model-building." Thesis, Imperial College London, 1997. http://hdl.handle.net/10044/1/8256.

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Darabi, Pirooz. "A mathematical model for cement kilns." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/32346.

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Rotary kilns have numerous industrial applications including cement production. Frequent operational problems such as low thermal efficiency, refractory failure, and poor product quality have prompted extensive efforts to improve and optimize their design. Mathematical modeling and Computational Fluid Dynamics constitute effective tools recently used for these purposes. A cement kiln consists of three major parts: the hot flow, the bed, and the wall. A CFD code which had the capability of simulating the hot gas was developed further to simulate the kiln. In the present work, two 1-D mathematical models are proposed and implemented in the existing CFD code. The first model consists of the steady-state solution for the material and temperature evolution within the bed. The second one simulates tire combustion in the kiln. The tire burning model assumes that tire combustion occurs in two major successive steps, devolatization and char combustion. For the devolatization model, external heat and mass transfer, three parallel reactions, and enthalpy effects are considered the dominant phenomena. The char combustion model considers the enthalpy effect and the external mass transfer. With the aid of the developed model, full-scale industrial cement kilns under steady-state and realistic operational conditions are simulated. In addition, cement kilns with combustion of full scrap tires in the middle of them are mathematically modeled. The limits and feasibility of tire combustion are further explored by running numerical simulations with different tire flow rates and different injector locations. The flow field, temperature distribution and species distribution are presented. Analysis of the results indicates that, with the help of the proposed model, a better understanding of the important processes within cement kilns can be obtained. The model can be used for addressing operational problems and optimizing designs. It is also concluded that successful firing of tires can lead to a cheaper, longer lasting, and less polluting kiln.<br>Applied Science, Faculty of<br>Mechanical Engineering, Department of<br>Graduate
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She, Chunfeng. "A mathematical model for power derivatives." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3297110.

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Thesis (Ph.D.)--Indiana University, Dept. of Mathematics, 2007.<br>Title from dissertation home page (viewed Sept. 29, 2008). Source: Dissertation Abstracts International, Volume: 69-02, Section: B, page: 1045. Adviser: Victor W. Goodman.
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Roose, T. "Mathematical model of plant nutrient uptake." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365790.

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This thesis deals with the mathematical modelling of nutrient uptake by plant roots. It starts with the Nye-Tinker-Barber model for nutrient uptake by a single bare cylindrical root. The model is treated using matched asymptotic expansion and an analytic formula for the rate of nutrient uptake is derived for the first time. The basic model is then extended to include root hairs and mycorrhizae, which have been found experimentally to be very important for the uptake of immobile nutrients. Again, analytic expressions for nutrient uptake are derived. The simplicity and clarity of the analytical formulae for the solution of the single root models allows the extension of these models to more realistic branched roots. These models clearly show that the `volume averaging of branching structure' technique commonly used to extend the Nye-Tinker-Barber with experiments can lead to large errors. The same models also indicate that in the absence of large-scale water movement, due to rainfall, fertiliser fails to penetrate into the soil. This motivates us to build a model for water movement and uptake by branched root structures. This model considers the simultaneous flow of water in the soil, uptake by the roots, and flow within the root branching network to the stems of the plant. The water uptake model shows that the water saturation can develop pseudo-steady-state wet and dry zones in the rooting region of the soil. The dry zone is shown to stop the movement of nutrient from the top of the soil to the groundwater. Finally we present a model for the simultaneous movement and uptake of both nutrients and water. This is discussed as a new tool for interpreting available experimental results and designing future experiments. The parallels between evolution and mathematical optimisation are also discussed.
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Kelly, R. J. "Mathematical model of multi-phase snowmelt." Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377740.

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Libros sobre el tema "Mathematical model"

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Williams, H. P. Model building in mathematical programming. 5th ed. Chichester, West Sussex: Wiley, 2013.

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W, Zucchini, ed. Model selection. New York: Wiley, 1986.

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Prestel, Alexander, and Charles N. Delzell. Mathematical Logic and Model Theory. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2176-3.

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Bateman, J. E. Surface exafs: A mathematical model. Chilton: Rutherford Appleton Laboratory, 2000.

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Williams, H. P. Model building in mathematical programming. 3rd ed. Chichester [England]: Wiley, 1990.

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Williams, H. P. Model solving in mathematical programming. Chichester: J. Wiley, 1993.

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Ivanov, Viktor Vladimirovich. Model development and optimization. Dordrecht: Kluwer Academic Publishers, 1999.

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service), SpringerLink (Online, ed. Model Theory and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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Cheung, Yun-Hsing. A simple mathematical model of lottery play. Perth, W.A: Edith Cowan University, Faculty of Business, School of Finance and Business Economics, 1996.

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Hart, Bradd T. Algebraic Model Theory. Dordrecht: Springer Netherlands, 1997.

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Capítulos de libros sobre el tema "Mathematical model"

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Danilov, Vladimir, Roman Gaydukov, and Vadim Kretov. "Mathematical Model." In Heat and Mass Transfer, 59–130. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0195-1_3.

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Qin, Tongran. "Mathematical Model." In Springer Theses, 19–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61331-4_2.

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Gross, Sven, and Arnold Reusken. "Mathematical model." In Springer Series in Computational Mathematics, 327–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19686-7_10.

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Gross, Sven, and Arnold Reusken. "Mathematical model." In Springer Series in Computational Mathematics, 385–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19686-7_12.

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Gross, Sven, and Arnold Reusken. "Mathematical model." In Springer Series in Computational Mathematics, 161–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19686-7_6.

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Feireisl, Eduard, Trygve G. Karper, and Milan Pokorný. "Mathematical Model." In Mathematical Theory of Compressible Viscous Fluids, 25–30. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44835-0_2.

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Mbiock, Aristide, and Roman Weber. "Mathematical Model." In Radiation in Enclosures, 53–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57094-0_4.

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Gass, Saul I., and Carl M. Harris. "Mathematical model." In Encyclopedia of Operations Research and Management Science, 495. New York, NY: Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_592.

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Weik, Martin H. "mathematical model." In Computer Science and Communications Dictionary, 985. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11176.

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Vulfson, Iosif. "Mathematical Model." In Foundations of Engineering Mechanics, 41–62. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12634-0_3.

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Actas de conferencias sobre el tema "Mathematical model"

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Weckesser, Markus, Malte Lochau, Michael Ries, and Andy Schürr. "Mathematical Programming for Anomaly Analysis of Clafer Models." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3239372.3239398.

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"Model Composition for Biological Mathematical Systems." In International Conference on Model-Driven Engineering and Software Development. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004699202170224.

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Petruk, Sergii, Ruslan Zhyvotovskyi, and Andrii Shyshatskyi. "Mathematical Model of MIMO." In 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). IEEE, 2018. http://dx.doi.org/10.1109/infocommst.2018.8632163.

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Cendrowski, S. K. "Mathematical model of retina." In Second International Conference on Optical Information Processing, edited by Zhores I. Alferov, Yuri V. Gulyaev, and Dennis R. Pape. SPIE, 1996. http://dx.doi.org/10.1117/12.262578.

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Mcheick, Hamid, Ahmad Karawash, and Taha Baba. "Load Balancing Mathematical Model." In 2011 Developments in E-systems Engineering (DeSE). IEEE, 2011. http://dx.doi.org/10.1109/dese.2011.63.

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Shempelev, A., P. Iglin, and N. Tatarinova. "On condenser mathematical model method introduction into steam turbine unit mathematical model." In 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2017. http://dx.doi.org/10.1109/icieam.2017.8076455.

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Chrobak, Joanna M., Henar Herrero, Alberto Cabada, Eduardo Liz, and Juan J. Nieto. "Mathematical model of cancer with competition." In MATHEMATICAL MODELS IN ENGINEERING, BIOLOGY AND MEDICINE: International Conference on Boundary Value Problems: Mathematical Models in Engineering, Biology and Medicine. AIP, 2009. http://dx.doi.org/10.1063/1.3142956.

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Nakamura, Masaki, and Kazutoshi Sakakibara. "Formal Verification and Mathematical Optimization for Autonomous Vehicle Group Controllers." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00111.

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Itami, Teturo. "Mathematical model of group robots." In 2013 9th Asian Control Conference (ASCC). IEEE, 2013. http://dx.doi.org/10.1109/ascc.2013.6606369.

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Henno, Jaak. "Mathematical Model of Natural Languages." In 2006 IEEE International Conference on Computational Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icccyb.2006.305733.

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Informes sobre el tema "Mathematical model"

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Equihua, M., and O. Perez-Maqueo. Mathematical Modeling and Conservation. American Museum of Natural History, 2010. http://dx.doi.org/10.5531/cbc.ncep.0154.

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Formal models are indispensable tools in natural resource management and in conservation biology. Explicit modeling can be a helpful tool for studying these systems, communicating across disciplines, and integrating varying viewpoints of numerous stakeholders. This module demonstrates how to explicitly construct models as alternative representations to help interpret and understand nature. Through a synthesis and two exercises, it describes the general context of scientific modeling (i.e., use and types of models), and allows students to practice building a model by evaluating the relationship between rabbit and fox population dynamics - from stating the problem, constructing a dynamic hypothesis, and formulating and testing the model.
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Pokorny, Richard, and Pavel R. Hrma. Mathematical Model of Cold Cap?Preliminary One-Dimensional Model Development. Office of Scientific and Technical Information (OSTI), March 2011. http://dx.doi.org/10.2172/1012879.

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Buchanan, C. R., and M. H. Sherman. A mathematical model for infiltration heat recovery. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/767547.

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Lovianova, Iryna V., Dmytro Ye Bobyliev, and Aleksandr D. Uchitel. Cloud calculations within the optional course Optimization Problems for 10th-11th graders. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3267.

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The article deals with the problem of introducing cloud calculations into 10th-11th graders’ training to solve optimization problems in the context of the STEM-education concept. After analyzing existing programmes of optional courses on optimization problems, the programme of the optional course Optimization Problems has been developed and substantiated implying solution of problems by the cloud environment CoCalc. It is a routine calculating operation and not a mathematical model that is accentuated in the programme. It allows considering more problems which are close to reality without adapting the material while training 10th-11th graders. Besides, the mathematical apparatus of the course which is partially known to students as the knowledge acquired from such mathematics sections as the theory of probability, mathematical statistics, mathematical analysis and linear algebra is enough to master the suggested course. The developed course deals with a whole class of problems of conventional optimization which vary greatly. They can be associated with designing devices and technological processes, distributing limited resources and planning business functioning as well as with everyday problems of people. Devices, processes and situations to which a model of optimization problem is applied are called optimization problems. Optimization methods enable optimal solutions for mathematical models. The developed course is noted for building mathematical models and defining a method to be applied to finding an efficient solution.
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Preto, F. A mathematical model for fluidized bed coal combustion. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/302616.

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McWilliams, Jennifer, and Melanie Jung. Development of a Mathematical Air-Leakage Model from MeasuredData. Office of Scientific and Technical Information (OSTI), May 2006. http://dx.doi.org/10.2172/883786.

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Schneider, Michael L., and Richard E. Price. Temperature Analysis: Howard A. Hanson Reservoir, Washington. Mathematical Model Investigation. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada200228.

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Smith, F. G. III. Mathematical model of the Savannah River Site waste tank farm. Office of Scientific and Technical Information (OSTI), July 1991. http://dx.doi.org/10.2172/5788555.

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Smith, F. G. III. Mathematical model of the Savannah River Site waste tank farm. Office of Scientific and Technical Information (OSTI), July 1991. http://dx.doi.org/10.2172/10131180.

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Näslund-Hadley, Emma. IDB Briefly Noted: No. 9 : June, 2011: Less Talk, More Play: Bolstering Math Learning in Argentina. Inter-American Development Bank, June 2011. http://dx.doi.org/10.18235/0008215.

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Resumen
Argentina and the Inter-American Development Bank (IDB) joined forces to test a new math education model called Mathematics for All (MAT). After just one academic year, learning increased in schools using the model, with particularly dramatic improvements among underperforming students. This brief describes how MAT improved learning by focusing on the development of mathematical thinking rather than on the memorization of formulas.
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