Relevant bibliographies by topics / Mathematical modeols

Academic literature on the topic 'Mathematical modeols'

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Published: 27 July 2024
Last updated: 28 July 2024

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Journal articles on the topic "Mathematical modeols"

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Suzuki, Takashi. "Mathematical models of tumor growth systems." Mathematica Bohemica 137, no. 2 (2012): 201–18. http://dx.doi.org/10.21136/mb.2012.142866.

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Pavankumari, V. "Mathematical and Stochastic Growth Models." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 1576–82. http://dx.doi.org/10.22214/ijraset.2021.39055.

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Abstract: Many statistical and mathematical models of growth are developed in the literature and effectively applied to various conditions in the existent world that involve many research problems in the different fields of applied statistics. Nevertheless, still, there is an equally large number of conditions, which have not yet been mathematically or statistically modeled, due to the complex situations or formed models are mathematically or statistically inflexible. The present study is based on mathematical and stochastic growth models. The specification of both the growth models is depicted. A detailed study of newly modified growth models is mentioned. This research will give substantial information on growth models, such as proposed modified exponential growth models and their specifications clearly motioned which gives scope for future research.
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Kumari, V. Pavan, Venkataramana Musala, and M. Bhupathi Naidu. "Mathematical and Stochastic Growth Models." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 987–89. http://dx.doi.org/10.22214/ijraset.2022.42330.

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Abstract: Many statistical and mathematical models of growth are developed in the literature and effectively applied to various conditions in the existent world involves many research problems in the different fields of applied statistics. Nevertheless, still, there are an equally a large number of conditions, which have not yet been mathematically or statistically modeled, due to the complex situations or formed models are mathematically or statistically inflexible. The present study is based on mathematical and stochastic growth models. The specification of both the growth models is depicted. A details study of newly modified growth models are mentioned. This research will give substantial information on growth models, such as proposed modified exponential growth models and it’s specifications clearly motioned which gives scope for future research.
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Staribratov, Ivaylo, and Nikol Manolova. "Application of Mathematical Models in Graphic Design." Mathematics and Informatics LXV, no. 1 (February 28, 2022): 72–81. http://dx.doi.org/10.53656/math2022-1-5-app.

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The article shares the practical experience in creating graphic design in the implementation of projects in the field of applied information technology. The creation of digital art is largely based on mathematical models and concepts that give a good perception of graphics, and it is scientifically justified. The STEAM approach is considered with the idea of the transdisciplinary level of integration between mathematics, graphic design and production practice in student education. For the development of projects like logo design, magazine cover and others, we use software specialized in the field of graphic design and computer graphics. For the realization of the considered projects, among which there are also awarded ones, we use CorelDRAW, Adobe InDesign and Desmos.
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LEVKIN, Dmytro. "ARCHITECTONICS OF CALCULATED MATHEMATICAL MODELS UNDER UNCERTAINTY." Herald of Khmelnytskyi National University. Technical sciences 309, no. 3 (May 26, 2022): 135–37. http://dx.doi.org/10.31891/2307-5732-2022-309-3-135-137.

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This article concerns the improvement of calculated mathematical models of technological, biotechnological, and economic systems. It is necessary to increase the number of considered parameters to increase the accuracy of calculating the parameters of complex systems during mathematical modeling. This leads to the need to solve nonlocal boundary value problems with non-stationary differential equations, to prove the correctness of which it is impossible to apply the traditional theory of existence and unity of solution. Note that after the architecture of boundary value problems assumes the existence of their solution, it is only necessary to prove its uniqueness. To prove the correctness of calculated mathematical models requires neither generalizing the parameters of the goal function and using approximate constraints, which, in turn, will reduce the boundary value problem to a standard form and its correctness will not be in doubt, nor propose a method to prove the correctness of boundary value certain differential equations, which will consider the specific features of the modeled processes. A separate technique must substantiate the correctness of boundary value problems depending on the type of differential equation that describes the physical and economic processes in the simulated systems. This article studied the conditions for the correctness of boundary value problems for differential equations with constant coefficients. It is proved that there is a corresponding boundary value problem for arbitrary homogeneous differential equations. It is defined the parabolic boundary value problems in terms that use constraints from above on the fundamental solution function. The conditions were obtained under which the parabolic boundary value problem exists and cannot exist, respectively. The obtained results will increase the accuracy of the main optimization task of improving the quality of simulated processes.
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Gardiner, Tony, and Gerd Fischer. "Mathematical Models." Mathematical Gazette 71, no. 455 (March 1987): 94. http://dx.doi.org/10.2307/3616334.

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Leangarun, Teema, Poj Tangamchit, and Suttipong Thajchayapong. "Stock Price Manipulation Detection Based on Mathematical Models." International Journal of Trade, Economics and Finance 7, no. 3 (June 2016): 81–88. http://dx.doi.org/10.18178/ijtef.2016.7.3.503.

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Ojha, Pratima, and R. K. Dubey R.K.Dubey. "Mathematical Properties of Homogeneous and Isotropic Cosmological Models." International Journal of Scientific Research 2, no. 2 (June 1, 2012): 83–84. http://dx.doi.org/10.15373/22778179/feb2013/30.

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ZAVGORODNIY, OLEXIY, DMYTRO LEVKIN, YANA KOTKO, and OLEXANDER MAKAROV. "RESEARCH OF COMPUTATIONAL MATHEMATICAL MODELS FOR TECHNICAL SYSTEMS." Herald of Khmelnytskyi National University. Technical sciences 319, no. 2 (April 27, 2023): 108–12. http://dx.doi.org/10.31891/2307-5732-2023-319-1-108-112.

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In the theory of analysis and synthesis of technical systems, mathematical modelling and optimization of multilayer systems containing sources of physical fields occupy an important place. This is due to the fact that their state is described by means of boundary value problems with multidimensional differential equations. To solve the boundary value problems and implement the process of optimizing the technical parameters of the modelled systems, it is necessary to conduct interdisciplinary studies of computational and applied optimization mathematical models. Fulfilment of the conditions for the existence of a single solution to boundary value problems by default is possible only when the object of study is a single-layer material under the action of load sources. If it is necessary to calculate and optimize the technical parameters of a multilayer material subjected to load sources, then it is impossible to immediately guarantee the correctness of the calculated and applied optimization mathematical models, since it is necessary to obtain the conditions for the existence and uniqueness of solutions to boundary value problems with systems of differential equations. Maximizing the technical parameters of load sources and averaging the characteristics of material layers will lead to approximate values of the objective function and technical parameters of the modelled system, which leads to irrational consumption of energy and heat resources and uncontrolled losses, and useless losses of the test material in the technological process. The article presents the conditions for the correctness of multipoint boundary value problems with multidimensional differential equations describing the state of a multilayer material under thermal action. It is advisable to use these studies to substantiate the correctness of other technical and biotechnological systems, which will increase the accuracy of the implementation of applied optimization problems of economic and mathematical modelling.
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Holdych, D. J., D. Rovas, J. G. Georgiadis, and R. O. Buckius. "An Improved Hydrodynamics Formulation for Multiphase Flow Lattice-Boltzmann Models." International Journal of Modern Physics C 09, no. 08 (December 1998): 1393–404. http://dx.doi.org/10.1142/s0129183198001266.

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Lattice-Boltzmann (LB) models provide a systematic formulation of effective-field computational approaches to the calculation of multiphase flow by replacing the mathematical surface of separation between the vapor and liquid with a thin transition region, across which all magnitudes change continuously. Many existing multiphase models of this sort do not satisfy the rigorous hydrodynamic constitutive laws. Here, we extend the two-dimensional, seven-speed Swift et al. LB model1 to rectangular grids (nine speeds) by using symbolic manipulation (MathematicaTM) and compare the LB model predictions with benchmark problems, in order to evaluate its merits. Particular emphasis is placed on the stress tensor formulation. Comparison with the two-phase analogue of the Couette flow and with a flow involving shear and advection of a droplet surrounded by its vapor reveals that additional terms have to be introduced in the definition of the stress tensor in order to satisfy the Navier–Stokes equation in regions of high density gradients. The use of Mathematica obviates many of the difficulties with the calculations "by-hand," allowing at the same time more flexibility to the computational analyst to experiment with geometrical and physical parameters of the formulation.
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Dissertations / Theses on the topic "Mathematical modeols"

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Widmer, Tobias K. "Reusable mathematical models." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer Science, Chair of Software Engineering, 2004. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=192.

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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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Wares, Arsalan Jones Graham A. Cottrill James F. "Middle school students' construction of mathematical models." Normal, Ill. Illinois State University, 2001. http://wwwlib.umi.com/cr/ilstu/fullcit?p3064487.

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Thesis (Ph. D.)--Illinois State University, 2001.
Title from title page screen, viewed March 30, 2006. Dissertation Committee: Graham A. Jones, James Cottrill (co-chairs), Linnea Sennott. Includes bibliographical references (leaves 107-111) and abstract. Also available in print.
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Villacampa, Marion. "Carbon sequestration: mathematical model of the Brazilian Atlantic Forest." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-12122016-113919/.

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The Brazilian Atlantic Forest is one of the world\'s biodiversity hotspots and probably one of the most highly threatened tropical forests. Understanding the forest, the carbon sequestration and develop a valid representation of the longterm dynamics of natural tropical forest are essential. Building a local forest growth model including anthropogenic activities will lead us to a better understanding in order to take sustainable actions. In the first part of the thesis a model of the floristic and ecological interaction in plant communities in the Parque Estadual da Serra do Mar, state of São Paulo, Brazil is built. The model is a multi-species model which contains nine functionally different species, each depicting a component of the canopy layer that it can reach and a shade tolerance. In a second part, the thesis explores the impact of different patterns of non forest areas due to human colonization on the Brazilian Atlantic Forest. The long-term structure, the dynamics and the carbon sequestration of the forest is then analyzed. The results suggest that an offshore inland colonization minimizes ecological impact on the forest composition and on the quantity of carbon stored in the forest biomass. Finally this project aims to understand the forest regeneration under different scenarios. The thesis determines how long it takes for the forest to recover after a clear out, and what are the impacts of external seed input playing during the regeneration of the forest. The proposed model gives satisfactory results and can be use as a decision support tool in order to take sustainable actions.
A Mata Atlântica é um dos 34 hotspots mundiais e provavelmente uma das florestas tropicais mais ameaçadas. Entender o sequestro do carbono e construir uma representação válida da dinâmica a longo prazo da floresta é primordial. Restaurar um ecossistema implica conhecer a complexidade dos fenômenos que se desenvolvem nestas formações, compreender os processos que levam à estruturação e manutenção destes ecossistemas ao longo do tempo e, finalmente, utilizar estas informações para a implantação de projetos de restauração. O objetivo desse projeto é buscar conhecimento sobre o crescimento da Mata Atlântica em meio ao comportamento antropogênico extrativista, buscando ações rumo à sustentabilidade e sua importância no processo de sequestro e estocagem de carbono. Desenvolver um modelo de crescimento da floresta adaptado ao local de estudo, que toma em consideração as atividades humanas, nos ajudará a determinar ações rumo à sua sustentabilidade. Na primeira parte da tese, é desenvolvido um modelo matemático que gera um sistema de equações diferenciais ordinárias não lineares. As características do Parque Estadual da Serra do Mar, no estado de São Paulo, são incluídas nesse modelo, que representa várias espécies de árvores agrupadas em nove grupos em função de sua altura máxima e de seu comportamento em relação à sombra. Em seguida, a tese trata do impacto de várias dinâmica da floresta e na estrutura e no sequestro de carbono. Os resultados mostram que o modelo offshore inland minimiza o impacto do desmatamento em termos de quantidade de biomassa perdida ou do impacto na biodiversidade. No final, com o objetivo de restaurar a Mata Atlântica, vários cenários de regeneração são abordados/considerados. O modelo determina em quantos anos a floresta estará restaurada e mostra a importância da contribuição externa de sementes. O desempenho desse modelo traz bons resultados em comparação com outros estudos, e pode ajudar a tomar decisões para a concretização de um futuro sustentável.
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Maggiori, Claudia. "Mathematical models in biomedicine." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21247/.

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In questa tesi vengono innanzitutto presentati due metodi matematici per lo studio di modelli biomedici e comportamentali. I modelli presentati sono tre: un modello per lo studio dell'evoluzione della malattia di Alzheimer, uno per lo studio dello sviluppo dei tumori e uno per la diffusione del Covid-19. Si riportano anche alcuni codici utilizzati per lo studio e lo sviluppo dei modelli trattati. Le conclusioni contengono alcuni possibili sviluppi degli argomenti trattati.
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Mathewson, Donald Jeffrey. "Mathematical models of immunity." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29575.

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A cross-linking model for the activation of the A cell or immune accessory cell as a function of certain extracellular conditions is developed to determine the valency of the specific factor receptor on the A cell surface. It is found that such a determination can be made based on the FWHM of cross-linking curves which differ by a full order of magnitude between the bivalent receptor case and the monovalent receptor case. This determination can be made provided one can obtain accurate values for the equilibrium constants which characterize the system and provided that activation and IL-1 secretion is a linear function of cross-linking. It is also found that a determination of valence can be made if the equilibrium constants are such that substantial one receptor bridge formation takes place (one antibody molecule bound on both ends by the same receptor). This one-receptor bridge formation only takes place if the receptor is bivalent, and it presents itself in the cross-linking curve in a very distinctive manner. A second network model described as an ecological competition model of steady state lymphocyte populations is presented. This model, known as the symmetrical network theory is analysed numerically by integration of the differential equations and shown to provide a reasonable qualitative picture of the immune system's stable steady states, and offer a glimpse of state switching.
Science, Faculty of
Physics and Astronomy, Department of
Graduate
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Heron, Dale Robert. "Mathematical models of superconductivity." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296893.

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Bozic, Ivana. "Mathematical Models of Cancer." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10220.

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Major efforts to sequence cancer genomes are now occurring throughout the world. Though the emerging data from these studies are illuminating, their reconciliation with epidemiologic and clinical observations poses a major challenge. Here we present mathematical models that begin to address this challenge. First we present a model of accumulation of driver and passenger mutations during tumor progression and derive a formula for the number of driver mutations as a function of the total number of mutations in a tumor. Fitting this formula to recent experimental data, we were able to calculate the selective advantage provided by a typical driver mutation. Second, we performed a quantitative analysis of pancreatic cancer metastasis genetic data. The results of this analysis define a broad time window for detection of pancreatic cancer before metastatic dissemination. Finally, we model the evolution of resistance to targeted cancer therapy. We apply our model to experimental data on the response to panitumumab, targeted therapy against colorectal cancer. Our modeling suggested that cells resistant to therapy were likely present in patients’ tumors prior to the start of therapy.
Mathematics
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Luther, Roger. "Mathematical models of kleptoparasitism." Thesis, University of Sussex, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410365.

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The phenomenon of kleptoparasitism - "food-stealing" - has frequently been observed, in a wide range of animal species. In this thesis, I extend the game-theoretic model of kleptoparasitism, proposed by Broom and Ruxton 1998, in a number of ways. Firstly, using their model, I investigate how quickly the equilibrium state of a kleptoparasitic population is reached. This work has been published (Luther and Broom 2004). I then investigate the case of a single homogenous population of kleptoparasites, finding which behaviours are Evolutionarily Stable Strategies. This is done with a variable probability that a challenger succeeds when attempting to steal food from a handler, and also allowing the possibility that the handler does not resist the attack. This work has been published (Broom et al 2004) I then consider populations of two groups, one stealing and the other only foraging, to find ESS's, particularly looking at situations where a mixed population can be an ESS, and other cases where pure populations are an ESS. I do this for indistinguishable groups, and then distinguishable groups. I show that a homogenous facultative population behaving in the Broom and Ruxton 1998 ESS has the same handling ratio as a mixed obligate population of kleptoparasites and foragers. Finally, I discuss some ornithological data on kleptoparasitism, and make a simple comparison with our models, to see if they are an accurate representation of the actual phenomenon
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Mazzag, Barbara Cathrine. "Mathematical models in biology /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2002. http://uclibs.org/PID/11984.

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Books on the topic "Mathematical modeols"

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Ershov, I͡Uriĭ Leonidovich. Constructive models. New York: Consultants Bureau, 2000.

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Dym, Clive L. Principles of mathematical modeling. 2nd ed. Amsterdam: Elsevier Academic Press, 2004.

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Adams, William J. Mathematics applied: An introduction to mathematical modeling. New York, N.Y: Pace and Pace, 1990.

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Fischer, Gerd, ed. Mathematical Models. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18865-8.

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Tanguy, Jean-Michel, ed. Mathematical Models. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9781118557853.

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

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A, Levin Simon, Hallam T. G, Gross Louis J, and Autumn Course on Mathematical Ecology (2nd : 1986 : International Centre for Theoretical Physics), eds. Applied mathematical ecology. Berlin: Springer-Verlag, 1989.

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T, Shaw William. Modelling financial derivatives with Mathematica: Mathematical models and benchmark algorithms. Cambridge: Cambridge University Press, 1998.

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Clark, Colin Whitcomb. Mathematical bioeconomics: The mathematics of conservation. 3rd ed. Hoboken, N.J: Wiley, 2010.

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Ian, Huntley, and James D. J. G, eds. Mathematical modelling: A source book of case studies. Oxford [England]: Oxford University Press, 1990.

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Book chapters on the topic "Mathematical modeols"

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Borrelli, Arianna. "The Great Yogurt Project: Models and Symmetry Principles in Early Particle Physics." In Model and Mathematics: From the 19th to the 21st Century, 221–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97833-4_6.

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AbstractAccording to the received view of the development of particle physics, mathematics, and more specifically group theory, provided the key which, between the late 1950s and the early 1960s, allowed scientists to achieve both a deeper physical understanding and an empirically successful modeling of particle phenomena. Indeed, a posteriori it has even been suggested that just by looking at diagrams of observed particle properties (see Fig. 1) one could have recognized in them the structures of specific groups (see Fig. 2). However, a closer look at theoretical practices of the 1950s and early 1960s reveals a tension between the employment of advanced mathematical tools and the “modeling” of observation, if the term “model” is understood as a construction allowing for the fitting and predicting of phenomena. As we shall see, the most empirically successful schemes, such as the “Gell-Mann and Nishijima model” or the “eightfold way”, were mathematically very simple, made no use of group-theoretical notions and for quite a time resisted all attempts to transform them into more refined mathematical constructs. Indeed, the theorists who proposed them had little or no interest in abstract approaches to mathematical practice. On the other hand, there were a number of particle theorists who did care about and employ group-theoretical notions, yet not primarily as tools to fit phenomena, but rather as a guide to uncover the fundamental principles of particle interactions. Moreover, these theorists did not regard all groups as epistemically equivalent, and instead clearly preferred those transformations related to space-time invariances over all others. These authors also often made a distinction between purely descriptive “models” and the “theories” they were (unsuccessfully) trying to build and which in their opinion would provide a deeper understanding of nature. Nonetheless, they expected their “theories”, too, to be empirically successful in describing observation, and thus to also function as “models”. In this sense, like their less mathematically-inclined colleagues, they also saw no clear-cut distinction between “modeling” and “theorizing” particle phenomena. In my paper I will discuss the development of these theoretical practices between the 1950s and the early 1960s as examples of the complex relationship between mathematics and the conceptualization of physical phenomena, arguing that, at least in this case, no general statements are possible on the relationship of mathematics and models. At that time, very different mathematical practices coexisted and the epistemic attitudes of physicists towards theoretical constructs could depend both on the assumptions and goals of the individual authors and on the specific mathematical methods and concepts linked to the constructs.
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Andrianov, Igor V. "Mathematical Models in Pure and Applied Mathematics." In Advanced Structured Materials, 15–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53006-8_2.

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Andrianov, Igor, and Jan Awrejcewicz. "Mathematical Models in Pure and Applied Mathematics." In Asymptotic Methods for Engineers, 214–19. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003467465-11.

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Holst, Niels. "Mathematical Models." In Decision Support Systems for Weed Management, 3–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44402-0_1.

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Gross, Sven, and Arnold Reusken. "Mathematical models." In Springer Series in Computational Mathematics, 33–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19686-7_2.

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Pulido-Bosch, Antonio. "Mathematical Models." In Principles of Karst Hydrogeology, 195–240. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55370-8_6.

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Hinrichsen, Diederich, and Anthony J. Pritchard. "Mathematical Models." In Mathematical Systems Theory I, 1–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-26410-8_1.

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Marquardt, Wolfgang, Jan Morbach, Andreas Wiesner, and Aidong Yang. "Mathematical Models." In OntoCAPE, 323–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04655-1_9.

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Mauergauz, Yuri. "Mathematical Models." In Advanced Planning and Scheduling in Manufacturing and Supply Chains, 43–87. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27523-9_2.

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Skiena, Steven S. "Mathematical Models." In Texts in Computer Science, 201–36. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55444-0_7.

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Conference papers on the topic "Mathematical modeols"

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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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Morrow, Gregory J., and Wei-Shih Yang. "Probability Models in Mathematical Physics." In Conference on Probability Models in Mathematical Physics. WORLD SCIENTIFIC, 1991. http://dx.doi.org/10.1142/9789814539852.

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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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Etheridge, Alison M. "Drift, draft and structure: some mathematical models of evolution." In Stochastic Models in Biological Sciences. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2008. http://dx.doi.org/10.4064/bc80-0-7.

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Hazelrigg, George A., and Georgia-Ann Klutke. "Models, Uncertainty, and the Sandia V&V Challenge Problem." In ASME 2018 Verification and Validation Symposium. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/vvs2018-9308.

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In this paper, we argue that the Sandia V&V Challenge Problem is ill-posed in that the answers sought do not, mathematically, exist. This effectively discredits both the methodologies applied to the problem and the results, regardless of the approach taken. We apply our arguments to show the types of mistakes present in the papers presented in J. of VVUQ along with the Challenge Problem. Further, we show that, when the problem is properly posed, both the applicable methodology and the solution techniques are easily drawn from the well-developed mathematics of probability and decision theory. The unfortunate aspect of the Challenge Problem as currently stated is that it leads to incorrect and inappropriate mathematical approaches that should be avoided and corrected in the current literature.
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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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Krasich, Milena. "Mathematical models and software reliability can different mathematics fit all phases of SW lifecycle?" In 2017 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2017. http://dx.doi.org/10.1109/ram.2017.7889761.

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Igbida, Noureddine. "Back on stochastic model for sandpile." In Proceedings of the Conference in Mathematics and Mathematical Physics. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814295574_0017.

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Lupu, Costica. "FUNDAMENTAL RESEARCH CONCERNING THE MODELS OF CONSTRUCTING MATHEMATICAL CONCEPTS." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-015.

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Mathematical concepts are not isolated entities. They form hierarchical systems, with higher or lower levels of generality. The study undertaken for improving the system for designing teaching activities in school education combines the strategies of fundamental, historical and comparative research, which implies: - highlighting the theoretical and methodological bases needed to reconstruct the discipline didactics in the curricular spirit; - identifying the optimal correlations between general and applied pedagogy that may be operationalized at the level of a designing model, needed in the context of teaching-learning-evaluating the discipline; - analysing the applied methodologies/ didactics (of Mathematics) from a historical (synchronic-diachronic) perspective and exploiting them at the level of the new structure of the models of constructing mathematical concepts of discipline didactics mathematics; - presenting the basics of applied didactics in terms of objectives, curricular contents, training methodology, evaluation of training, the teaching-learning-evaluation actions of a discipline; designing the teaching activities at the level of some disciplines; - presenting the epistemological and psychological basics of science didactics, complementary to applied didactics, concerning the models of constructing mathematical concepts. What is the relation between image and concept in the process of building mathematical concepts by performing reasonings that are subject to other verifications, research, abstractions, desubstantializations with a virtual perfection, existing only at the hypothetical, mental level? Also, in this context, the generalizations performed as notions, concepts, formulas, theorems, rules will be applied to other abstractions. If we elaborate and present the models on building mathematical concepts, then the students who wish to take on a teaching career will show efficiency in conducting their teaching practice lessons.
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Zawarczynski, Lukasz, and Tadeusz Stefanski. "Parametric Identification of PMSM Mathematical Model." In 2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2019. http://dx.doi.org/10.1109/mmar.2019.8864702.

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Reports on the topic "Mathematical modeols"

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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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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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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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Hlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3860.

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This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and mathematical modeling, it is necessary to use digital technologies in two directions: for the organization of electronic educational space and in the process of solving applied problems at the junction of the branches of economics and mathematics. The advantages of using e-learning courses in the educational process are presented (such as providing individualization of the educational process in accordance with the needs, characteristics and capabilities of students; improving the quality and efficiency of the educational process; ensuring systematic monitoring of the educational quality). The unified structures of “Econometrics”, “Economic and mathematical modeling” based on the Moodle platform are the following ones. The article presents the results of the pedagogical experiment on the attitude of students to the use of e-learning course (ELC) in the educational process of Borys Grinchenko Kyiv University and Alfred Nobel University (Dnipro city). We found that the following metrics need improvement: availability of time-appropriate mathematical materials; individual approach in training; students’ self-expression and the development of their creativity in the e-learning process. The following opportunities are brought to light the possibilities of digital technologies for the construction and research of econometric models (based on the problem of dependence of the level of the Ukrainian population employment). Various stages of building and testing of the econometric model are characterized: identification of variables, specification of the model, parameterization and verification of the statistical significance of the obtained results.
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Astafieva, Mariia M., Oleksii B. Zhyltsov, and Volodymyr V. Proshkin. E-learning as a mean of forming students' mathematical competence in a research-oriented educational process. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3896.

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The article is devoted to the substantiation of approaches to the effective use of advantages and minimization of disadvantages and losses of e-learning as a mean of forming mathematical competence of students in the conditions of research-oriented educational process. As a result of the ascertaining experiment, e-learning has certain disadvantages besides its obvious advantages (adaptability, possibility of individualization, absence of geographical barriers, ensuring social equality, unlimited number of listeners, etc.). However, the nature of these drawbacks lies not as much in the plane of opportunity itself as in the ability to use them effectively. On the example of the e-learning course (ELC) “Mathematical Analysis” (Calculus) of Borys Grinchenko Kyiv University, which is developed on the basis of the Moodle platform, didactic and methodical approaches to content preparation and organization of activities in the ELC in mathematics are offered. Given the specifics of mathematics as a discipline, the possibility of using ELCs to support the traditional learning process with full-time learning is revealed, introducing a partially mixed (combined) model. It is emphasized that effective formation of mathematical competence of students by means of e-learning is possible only in the conditions of research-oriented educational environment with active and concerned participation of students and partnership interaction. The prospect of further research in the analysis of e-learning opportunities for the formation of students’ mathematical competence, in particular, research and investigation tools, and the development of recommendations for the advanced training programs of teachers of mathematical disciplines of universities are outlined.
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Mayergoyz, I. D. [Mathematical models of hysteresis]. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6911694.

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Mayergoyz, I. D. Mathematical models of hysteresis. Office of Scientific and Technical Information (OSTI), September 1992. http://dx.doi.org/10.2172/6946876.

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Mayergoyz, I. Mathematical models of hysteresis. Office of Scientific and Technical Information (OSTI), August 1989. http://dx.doi.org/10.2172/5246564.

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Kaper, H. Mathematical models of superconductivity. Office of Scientific and Technical Information (OSTI), March 1991. http://dx.doi.org/10.2172/5907100.

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Ringhofer, Christian. Mathematical Models for VLSI Device Simulation. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada191125.

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Mayergoyz, Isaak. MATHEMATICAL MODELS OF HYSTERESIS (DYNAMIC PROBLEMS IN HYSTERESIS). Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/889747.

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