Bibliografie tematiche / Mathematical Modelling

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Letteratura scientifica selezionata sul tema "Mathematical Modelling"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Mathematical Modelling"

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Ketova, K. V., I. G. Rusyak, and D. D. Vavilova. "MATHEMATICAL MODELLING OF WORKFORCE POTENTIAL." European Journal of Natural History, no. 3 2020 (2020): 65–69. http://dx.doi.org/10.17513/ejnh.34088.

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Smith, D. "Mathematical modelling." Teaching Mathematics and its Applications 15, no. 1 (1996): 37–41. http://dx.doi.org/10.1093/teamat/15.1.37.

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Campbell, P. "Mathematical modelling." Manufacturing Engineer 77, no. 4 (1998): 187–89. http://dx.doi.org/10.1049/me:19980407.

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Ziegel, Eric R. "Mathematical Modelling." Technometrics 32, no. 2 (1990): 240. http://dx.doi.org/10.1080/00401706.1990.10484666.

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Ramos, J. I. "Mathematical Modelling." Applied Mathematical Modelling 14, no. 8 (1990): 444. http://dx.doi.org/10.1016/0307-904x(90)90102-b.

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Rawson, H. "Mathematical modelling." Journal of Non-Crystalline Solids 73, no. 1-3 (1985): 551–63. http://dx.doi.org/10.1016/0022-3093(85)90374-6.

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Rawson, H. "Mathematical modelling." Journal of Non-Crystalline Solids 80, no. 1-3 (1986): 92. http://dx.doi.org/10.1016/0022-3093(86)90381-9.

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Cundy, H. Martyn, J. S. Berry, D. N. Burghes, I. D. Huntley, D. J. G. James, and A. O. Moscardini. "Mathematical Modelling Courses." Mathematical Gazette 72, no. 460 (1988): 152. http://dx.doi.org/10.2307/3618954.

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Reyniers, Diane, J. S. Berry, D. N. Hughes, I. D. Huntley, D. J. G. James, and A. O. Moscardini. "Mathematical Modelling Courses." Journal of the Operational Research Society 39, no. 12 (1988): 1181. http://dx.doi.org/10.2307/2583605.

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SMITH, D. N. "Independent Mathematical Modelling." Teaching Mathematics and its Applications 16, no. 3 (1997): 101–6. http://dx.doi.org/10.1093/teamat/16.3.101.

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Tesi sul tema "Mathematical Modelling"

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Bergman, Ärlebäck Jonas. "Mathematical modelling in upper secondary mathematics education in Sweden." Doctoral thesis, Linköpings universitet, Tillämpad matematik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54318.

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The aim of this thesis is to investigate and enhance our understanding of the notions of mathematical models and modelling at the Swedish upper secondary school level. Focus is on how mathematical models and modelling are viewed by the different actors in the school system, and what characterises the collaborative process of a didactician and a group of teachers engaged in designing and developing, implementing and evaluating teaching modules (so called modelling modules) exposing students to mathematical modelling in line with the present mathematics curriculum. The thesis consists of five pa
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Cinquin, Olivier. "Mathematical modelling of development." Thesis, University College London (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424702.

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Chalmers, Alexander David. "Mathematical Modelling of Atherosclerosis." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14986.

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In atherosclerosis, the arterial lining undergoes a specific sequence of inflammatory responses to an injury to the cells that line the blood vessel and to low density lipoprotein (LDL) particles from the blood stream that penetrate through this injury into the arterial wall. We model the events that take place inside the blood vessel wall that occur immediately after such an injury with a system of partial differential equations that involve the LDL particles, two proinflammatory cytokines, monocyte-derived macrophages and their lipid-filled counterparts, foam cells. The model includes the ch
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Nurtay, Anel. "Mathematical modelling of pathogen specialisation." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/667178.

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L’aparició de nous virus causants de malalties està estretament lligada a l’especialització de subpoblacions virals cap a nous tipus d’amfitrions. La modelització matemàtica proporciona un marc quantitatiu que pot ajudar amb la predicció de processos a llarg termini com pot ser l’especialització. A causa de la naturalesa complexa que presenten les interaccions intra i interespecífiques en els processos evolutius, cal aplicar eines matemàtiques complexes, com ara l’anàlisi de bifurcacions, al estudiar dinàmiques de població. Aquesta tesi desenvolupa una jerarquia de models de població per poder
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Tacon, Geoffrey Reginald Russell. "Mathematical modelling of liver kinetics /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19399.pdf.

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Du, Peng 1985. "Mathematical modelling of gastric electrophysiology." Thesis, University of Auckland, 2011. http://hdl.handle.net/2292/10234.

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This thesis investigates the electrophysiology of the stomach, using a joint experimental and mathematical modelling approach. Normal gastrointestinal (GI) motility is coordinated by multiple cooperating mechanisms, both intrinsic and extrinsic to the GI tract. A fundamental component of the GI motility is an omnipresent electrical activity termed slow waves, which are initiated and propagated by the interstitial cells of Cajal (ICCs) and smooth muscle cells (SMCs). The role of ICC and/or SMC pathophysiology in GI motility disorders is an area of on-going research. This thesis begins wit
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Memon, Sohail Ahmed. "Mathematical modelling of complex dynamics." Thesis, University of Central Lancashire, 2017. http://clok.uclan.ac.uk/20497/.

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Soft materials have a wide range of applications, which include the production of masks for nano–lithography, the separation of membranes with nano–pores, and the preparation of nano–size structures for electronic devices. Self–organization in soft matter is a primary mechanism for the formation of structure. Block copolymers are long chain molecules composed of several different polymer blocks covalently bonded into a single macromolecule, which belong to an important class of soft materials which can self–assemble into different nano–structures due to their natural ability to microphase sepa
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Abdullah, Zia. "Mathematical modelling of casting processes." Thesis, University of Ottawa (Canada), 1988. http://hdl.handle.net/10393/21048.

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MacDonald, Grant. "Mathematical modelling of semiconductor photocatalysis." Thesis, University of Strathclyde, 2016. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27029.

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Semiconductor photocatalysis can be extremely effective in the complete mineralisation of hundreds of organic materials and has been utilised in various different commercial systems, for example, self-cleaning glass, purification of water, the purification of air, sterilisation/disinfection and detecting oxygen in food packaging. The aim of this thesis is to further the understanding of semiconductor photocatalysis using mathematical models. One of the main issues considered is the applicability of assuming that reaction intermediates remain in a steady-state throughout the majority of any rea
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Kura, K. "Mathematical modelling of dominance hierarchies." Thesis, City, University of London, 2016. http://openaccess.city.ac.uk/15838/.

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In this research we analyse the formation of dominance hierarchies from different viewpoints and various models of dominance hierarchy formation have been proposed, one important class being winner--loser models and another being Swiss tournaments. We start by understanding the structure of hierarchies emerging under the influence of winner and loser effects and two situations are considered: (i) when each individual has the same, fixed (unchanged) aggression threshold, meaning that all of them use the same rule when deciding whether to fight or retreat, and (ii) when individuals select an agg
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Libri sul tema "Mathematical Modelling"

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Heiliö, Matti, Timo Lähivaara, Erkki Laitinen, et al. Mathematical Modelling. Edited by Seppo Pohjolainen. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27836-0.

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Moghadas, Seyed M., and Majid Jaberi-Douraki. Mathematical Modelling. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119483946.

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Caldwell, J., and Y. M. Ram. Mathematical Modelling. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-2201-8.

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Caldwell, Jim, and Douglas K. S. Ng, eds. Mathematical Modelling. Kluwer Academic Publishers, 2004. http://dx.doi.org/10.1007/1-4020-1993-9.

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N, Burghes D., ed. Mathematical modelling. Prentice Hall, 1996.

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N, Burghes David, ed. Mathematical modelling. Prentice Hall, 1996.

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Brennan, Christopher R. Mathematical modelling. Nova Science Publishers, 2011.

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Ken, Houston, ed. Mathematical modelling. Edward Arnold, 1995.

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Yaglom, I. M. Mathematical structures and mathematical modelling. Gordon and Breach, 1986.

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I͡Aglom, I. M. Mathematical structures and mathematical modelling. Gordon and Breach Science, 1986.

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Capitoli di libri sul tema "Mathematical Modelling"

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Wess, Raphael, Heiner Klock, Hans-Stefan Siller, and Gilbert Greefrath. "Mathematical Modelling." In International Perspectives on the Teaching and Learning of Mathematical Modelling. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78071-5_1.

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AbstractThe integration of applications and mathematical modelling into mathematics education plays an important role in many national curricula (Kaiser, 2020; Niss et al., 2007), and thus an increasing role in teacher training.
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Serovajsky, Simon. "Mathematical problems of mathematical models." In Mathematical Modelling. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003035602-19.

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Patel, Ravi, Dipankar Deb, Rajeeb Dey, and Valentina E. Balas. "Mathematical Modelling." In Intelligent Systems Reference Library. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18068-3_2.

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Jones, Jenny M., Amanda R. Lea-Langton, Lin Ma, Mohamed Pourkashanian, and Alan Williams. "Mathematical Modelling." In Pollutants Generated by the Combustion of Solid Biomass Fuels. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6437-1_6.

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Fowler, Andrew. "Mathematical Modelling." In Interdisciplinary Applied Mathematics. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-721-1_1.

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Berry, John, and Patrick Wainwright. "Mathematical Modelling." In Foundation Mathematics for Engineers. Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-11717-8_13.

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Roy, Kalyan Kumar. "Mathematical Modelling." In Natural Electromagnetic Fields in Pure and Applied Geophysics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38097-7_9.

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Elliott, Novak S. J. "Mathematical Modelling." In Syringomyelia. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-13706-8_7.

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Awange, Joseph. "Mathematical Modelling." In GNSS Environmental Sensing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58418-8_4.

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Hofmann, Bernd. "Mathematical Modelling." In Regularization for Applied Inverse and III-Posed Problems. Vieweg+Teubner Verlag, 1986. http://dx.doi.org/10.1007/978-3-322-93034-7_2.

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Atti di convegni sul tema "Mathematical Modelling"

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Carpenter, Darren J. "EMC through Mathematical Modelling." In EMC_2002_Wroclaw. IEEE, 2002. https://doi.org/10.23919/emc.2002.10842332.

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Marinov, Petar. "Mathematical Approach to Social Network Modelling." In 2024 32nd National Conference with International Participation (TELECOM). IEEE, 2024. https://doi.org/10.1109/telecom63374.2024.10812250.

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Grootenboer, Peter. "Mathematics education: Building mathematical identities." In 28TH RUSSIAN CONFERENCE ON MATHEMATICAL MODELLING IN NATURAL SCIENCES. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0000581.

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Greefrath, Gilbert, and Susana Carreira. "Mathematical Applications and Modelling in Mathematics Education." In The 14th International Congress on Mathematical Education. WORLD SCIENTIFIC, 2024. http://dx.doi.org/10.1142/9789811287152_0046.

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Kaur, Berinderjeet. "Mathematical literacy – A cornerstone of school mathematics." In INTERNATIONAL CONFERENCE ON MODELLING STRATEGIES IN MATHEMATICS: ICMSM 2024. AIP Publishing, 2025. https://doi.org/10.1063/5.0269192.

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Darmawijoyo, Apit Fathurohman, Maryam Akila, and Somakim. "Learning mathematical modelling: A portrait of secondary school student’s mathematical perception in learning mathematical modelling." In THE 2ND NATIONAL CONFERENCE ON MATHEMATICS EDUCATION (NACOME) 2021: Mathematical Proof as a Tool for Learning Mathematics. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0150968.

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Saleem, Zainab, and Syed Aseem Ul Islam. "Mathematical Modelling of RocketMotorTwo." In 20th AIAA International Space Planes and Hypersonic Systems and Technologies Conference. American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-3684.

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Magnucka-Blandzi, E. "Mathematical and numerical modelling." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4913002.

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McGuinness, Mark J., Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Mathematical Modelling of Extremes." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2. AIP, 2009. http://dx.doi.org/10.1063/1.3241364.

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Rogovchenko, Yuriy, and Svitlana Rogovchenko. "Promoting engineering students’ learning with mathematical modelling projects." In SEFI 50th Annual conference of The European Society for Engineering Education. Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788412322262.1451.

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Mathematics constitutes a key component in engineering education. Engineering students are traditionally offered a number of mathematics courses which provide the knowledge needed at the workplace. Unfortunately, many students perceive mathematics as a discipline that teaches mostly procedures not relevant to their future careers and often view it as one of the main obstacles on their way to an engineering degree. In this paper, we discuss how introducing university students in a standard Differential Equations course to mathematical modelling (MM), a powerful strategy for solving real-life pr
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Rapporti di organizzazioni sul tema "Mathematical Modelling"

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Sternberg, Natalia. Mathematical Modelling in Plasma Physics. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada294972.

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Miller, Willard, Sell Jr., Weinberger George, and Hans. Scientific Computation and Mathematical Modelling. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada173178.

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Feustel, H. Mathematical modelling of infiltration and ventilation. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/7154245.

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Lock, X. Ge, and N. Prywes. An Intelligent Mathematical Modelling System - Mathmodel. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada207807.

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Szekely, J. The mathematical modelling of arc welding operation. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6821760.

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Sinan, Muhammad, Hijaz Ahmad, Zubair Ahmad, et al. Fractional Mathematical Modelling of Malaria Disease with Treatment & Insecticides. Peeref, 2022. http://dx.doi.org/10.54985/peeref.2210p3573404.

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Saptsin, Vladimir, and Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], 2009. http://dx.doi.org/10.31812/0564/1134.

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This work deals with the new, relativistic direction in quantum econophysics, within the bounds of which a change of the classical paradigms in mathematical modelling of socio-economic system is offered. Classical physics proceeds from the hypothesis that immediate values of all the physical quantities, characterizing system’s state, exist and can be accurately measured in principle. Non-relativistic quantum mechanics does not reject the existence of the immediate values of the classical physical quantities, nevertheless not each of them can be simultaneously measured (the uncertainty principle
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Destefan, D. E. Mathematical modelling of part voltage and weld current in resistance welders. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6376958.

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ALMODARESI, S. A., and Ali BOLOOR. A mathematical modelling for spatio temporal substitution base on Ergodic theorem. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0026.

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Ashley, K., S. Pons, and M. Fleischmann. Mathematical Modelling of Transport through Conducting Polymer Films. 1. The Poly(paraphenylene) System. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada200842.

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