Literatura científica selecionada sobre o tema "Numerical modellng"
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Artigos de revistas sobre o assunto "Numerical modellng"
Jaichuang, Atit, e Wirawan Chinviriyasit. "Numerical Modelling of Influenza Model with Diffusion". International Journal of Applied Physics and Mathematics 4, n.º 1 (2014): 15–21. http://dx.doi.org/10.7763/ijapm.2014.v4.247.
Texto completo da fonteMakokha, Mary, Akira Kobayashi e Shigeyasu Aoyama. "Numerical Modeling of Seawater Intrusion Management Measures". Journal of Rainwater Catchment Systems 14, n.º 1 (2008): 17–24. http://dx.doi.org/10.7132/jrcsa.kj00004978338.
Texto completo da fonteGerya, Taras V., David Fossati, Curdin Cantieni e Diane Seward. "Dynamic effects of aseismic ridge subduction: numerical modelling". European Journal of Mineralogy 21, n.º 3 (29 de junho de 2009): 649–61. http://dx.doi.org/10.1127/0935-1221/2009/0021-1931.
Texto completo da fonteO. B. Silva, Augusto, Newton O. P. Júnior e João A. V. Requena. "Numerical Modeling of a Composite Hollow Vierendeel-Truss". International Journal of Engineering and Technology 7, n.º 3 (junho de 2015): 176–82. http://dx.doi.org/10.7763/ijet.2015.v7.788.
Texto completo da fonteADETU, Alina-Elena, Cătălin ADETU e Vasile NĂSTĂSESCU. "NUMERICAL MODELING OF ACOUSTIC WAVE PROPAGATION IN UNLIMITED SPACE". SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 21, n.º 1 (8 de outubro de 2019): 80–87. http://dx.doi.org/10.19062/2247-3173.2019.21.12.
Texto completo da fonteSosnowski, Marcin, e Jerzy Pisarek. "Analiza porównawcza wyników modelowania ewakuacji z wykorzystaniem różnych modeli numerycznych". Prace Naukowe Akademii im. Jana Długosza w Częstochowie. Technika, Informatyka, Inżynieria Bezpieczeństwa 2 (2014): 383–90. http://dx.doi.org/10.16926/tiib.2014.02.33.
Texto completo da fonteITO, Yusuke, Toru KIZAKI, Naohiko SUGITA e Mamoru MITSUISHI. "1206 Numerical Modeling of Picosecond Laser Drilling of Glass". Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2015.8 (2015): _1206–1_—_1206–5_. http://dx.doi.org/10.1299/jsmelem.2015.8._1206-1_.
Texto completo da fonteTroyani, N., L. E. Montano e O. M. Ayala. "Numerical modeling of thermal evolution in hot metal coiling". Revista de Metalurgia 41, Extra (17 de dezembro de 2005): 488–92. http://dx.doi.org/10.3989/revmetalm.2005.v41.iextra.1082.
Texto completo da fonteHebda, Kamil, Łukasz Habera e Piotr Koślik. "Modelowanie numeryczne ładunków kumulacyjnych z wkładkami dzielonymi dwuczęściowymi". Nafta-Gaz 77, n.º 4 (abril de 2021): 264–69. http://dx.doi.org/10.18668/ng.2021.04.06.
Texto completo da fonteChenari, B., S. S. Saadatian e Almerindo D. Ferreira. "Numerical Modelling of Regular Waves Propagation and Breaking Using Waves2Foam". Journal of Clean Energy Technologies 3, n.º 4 (2015): 276–81. http://dx.doi.org/10.7763/jocet.2015.v3.208.
Texto completo da fonteTeses / dissertações sobre o assunto "Numerical modellng"
De, Martino Giuseppe. "Multi-Value Numerical Modeling for Special Di erential Problems". Doctoral thesis, Universita degli studi di Salerno, 2015. http://hdl.handle.net/10556/1982.
Texto completo da fonteThe subject of this thesis is the analysis and development of new numerical methods for Ordinary Di erential Equations (ODEs). This studies are motivated by the fundamental role that ODEs play in applied mathematics and applied sciences in general. In particular, as is well known, ODEs are successfully used to describe phenomena evolving in time, but it is often very di cult or even impossible to nd a solution in closed form, since a general formula for the exact solution has never been found, apart from special cases. The most important cases in the applications are systems of ODEs, whose exact solution is even harder to nd; then the role played by numerical integrators for ODEs is fundamental to many applied scientists. It is probably impossible to count all the scienti c papers that made use of numerical integrators during the last century and this is enough to recognize the importance of them in the progress of modern science. Moreover, in modern research, models keep getting more complicated, in order to catch more and more peculiarities of the physical systems they describe, thus it is crucial to keep improving numerical integrator's e ciency and accuracy. The rst, simpler and most famous numerical integrator was introduced by Euler in 1768 and it is nowadays still used very often in many situations, especially in educational settings because of its immediacy, but also in the practical integration of simple and well-behaved systems of ODEs. Since that time, many mathematicians and applied scientists devoted their time to the research of new and more e cient methods (in terms of accuracy and computational cost). The development of numerical integrators followed both the scienti c interests and the technological progress of the ages during whom they were developed. In XIX century, when most of the calculations were executed by hand or at most with mechanical calculators, Adams and Bashfort introduced the rst linear multistep methods (1855) and the rst Runge- Kutta methods appeared (1895-1905) due to the early works of Carl Runge and Martin Kutta. Both multistep and Runge-Kutta methods generated an incredible amount of research and of great results, providing a great understanding of them and making them very reliable in the numerical integration of a large number of practical problems. It was only with the advent of the rst electronic computers that the computational cost started to be a less crucial problem and the research e orts started to move towards the development of problem-oriented methods. It is probably possible to say that the rst class of problems that needed an ad-hoc numerical treatment was that of sti problems. These problems require highly stable numerical integrators (see Section ??) or, in the worst cases, a reformulation of the problem itself. Crucial contributions to the theory of numerical integrators for ODEs were given in the XX century by J.C. Butcher, who developed a theory of order for Runge-Kutta methods based on rooted trees and introduced the family of General Linear Methods together with K. Burrage, that uni ed all the known families of methods for rst order ODEs under a single formulation. General Linear Methods are multistagemultivalue methods that combine the characteristics of Runge-Kutta and Linear Multistep integrators... [edited by Author]
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Villa, A. "Three dimensional geophysical modeling : from physics to numerical simulation". Doctoral thesis, Università degli Studi di Milano, 2010. http://hdl.handle.net/2434/148440.
Texto completo da fonteLin, Yuan. "Numerical modeling of dielectrophoresis". Licentiate thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4014.
Texto completo da fonteZolfaghari, Reza. "Numerical Simulation of Reactive Transport Problems in Porous Media Using Global Implicit Approach". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-197853.
Texto completo da fonteDiese Arbeit konzentriert sich auf die numerische Berechnung reaktiver Transportprobleme in porösen Medien. Es werden prinzipielle Mechanismen von Fluidströmung und reaktive Stofftransport in porösen Medien untersucht. Um chemische Reaktionen und Stofftransport zu koppeln, wurden die Ansätze Global Implicit Approach (GIA) sowie Sequential Non-Iterative Approach (SNIA) in die Software OpenGeoSys (OGS6) implementiert. Das von Kräutle vorgeschlagene Reduzierungsschema wird in GIA verwendet, um die Anzahl der gekoppelten nichtlinearen Differentialgleichungen zu reduzieren. Das Reduzierungsschema verwendet Linearkombinationen von mobilen und immobile Spezies und trennt die reaktionsunabhngigen linearen Differentialgleichungen von den gekoppelten nichtlinearen Gleichungen (dh Verringerung der Anzahl der Primärvariablen des nicht-linearen Gleichungssystems). Um die Gleichgewichtsreaktionen der Mineralien zu berechnen, wurde ein chemischer Gleichungslaser auf Basis von ”semi-smooth Newton-Iterations” implementiert. Ergebnisse von drei Benchmarks wurden zur Code-Verifikation verwendet. Diese Ergebnisse zeigen, dass die Simulation homogener Equilibriumreaktionen mit GIA 6,7 mal schneller und bei kinetischen Reaktionen 24 mal schneller als SNIA sind. Bei Simulationen heterogener Equilibriumreaktionen ist SNIA 4,7 mal schneller als der GIA Ansatz
Vedin, Jörgen. "Numerical modeling of auroral processes". Doctoral thesis, Umeå University, Physics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1117.
Texto completo da fonteOne of the most conspicuous problems in space physics for the last decades has been to theoretically describe how the large parallel electric fields on auroral field lines can be generated. There is strong observational evidence of such electric fields, and stationary theory supports the need for electric fields accelerating electrons to the ionosphere where they generate auroras. However, dynamic models have not been able to reproduce these electric fields. This thesis sheds some light on this incompatibility and shows that the missing ingredient in previous dynamic models is a correct description of the electron temperature. As the electrons accelerate towards the ionosphere, their velocity along the magnetic field line will increase. In the converging magnetic field lines, the mirror force will convert much of the parallel velocity into perpendicular velocity. The result of the acceleration and mirroring will be a velocity distribution with a significantly higher temperature in the auroral acceleration region than above. The enhanced temperature corresponds to strong electron pressure gradients that balance the parallel electric fields. Thus, in regions with electron acceleration along converging magnetic field lines, the electron temperature increase is a fundamental process and must be included in any model that aims to describe the build up of parallel electric fields. The development of such a model has been hampered by the difficulty to describe the temperature variation. This thesis shows that a local equation of state cannot be used, but the electron temperature variations must be descibed as a nonlocal response to the state of the auroral flux tube. The nonlocal response can be accomplished by the particle-fluid model presented in this thesis. This new dynamic model is a combination of a fluid model and a Particle-In-Cell (PIC) model and results in large parallel electric fields consistent with in-situ observations.
Xie, Jinsong. "Numerical modeling of tsunami waves". Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27936.
Texto completo da fontePak, Ali. "Numerical modeling of hydraulic fracturing". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21618.pdf.
Texto completo da fonteVedin, Jörgen. "Numerical modeling of auroral processes /". Umeå : Dept. of Physics, Umeå Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1117.
Texto completo da fonteJohansson, Christer. "Numerical methods for waveguide modeling /". Stockholm : Numerical Analysis and Computing Science (NADA), Stockholm university, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-992.
Texto completo da fonteKim, Chu-p'yŏ. "Numerical modeling of MILD combustion". Aachen Shaker, 2008. http://d-nb.info/988365464/04.
Texto completo da fonteLivros sobre o assunto "Numerical modellng"
Miidla, Peep. Numerical modelling. Rijeka, Croatia: InTech, 2012.
Encontre o texto completo da fonteHaidvogel, Dale B. Numerical ocean circulation modeling. London: Imperial College Press, 1999.
Encontre o texto completo da fonte1929-, Chung T. J., ed. Numerical modeling in combustion. Washington, DC: Taylor & Francis, 1993.
Encontre o texto completo da fonteGerya, Taras. Introduction to numerical geodynamic modelling. New York: Cambridge University Press, 2010.
Encontre o texto completo da fonteS, Oran Elaine, e Boris Jay P, eds. Numerical approaches to combustion modeling. Washington, DC: American Institute of Aeronautics and Astronautics, 1991.
Encontre o texto completo da fonteFischer, C. T. Numerical modelling of impedance spectra. Manchester: UMIST, 1993.
Encontre o texto completo da fonteSchmidt, Wolfram. Numerical Modelling of Astrophysical Turbulence. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01475-3.
Texto completo da fonteHofstetter, Günter, e Günther Meschke, eds. Numerical Modeling of Concrete Cracking. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0897-0.
Texto completo da fonteChalikov, Dmitry V. Numerical Modeling of Sea Waves. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32916-1.
Texto completo da fonteO’Brien, James J., ed. Advanced Physical Oceanographic Numerical Modelling. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-017-0627-8.
Texto completo da fonteCapítulos de livros sobre o assunto "Numerical modellng"
Greenspan, Donald. "Numerical Methodology". In Particle Modeling, 7–21. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1992-7_2.
Texto completo da fonteWaugh, Rachael C. "Numerical Modelling". In Development of Infrared Techniques for Practical Defect Identification in Bonded Joints, 77–95. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22982-9_6.
Texto completo da fontePesavento, Francesco, Agnieszka Knoppik, Vít Šmilauer, Matthieu Briffaut e Pierre Rossi. "Numerical Modelling". In Thermal Cracking of Massive Concrete Structures, 181–255. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76617-1_7.
Texto completo da fonteLeppäranta, Matti. "Numerical modelling". In The Drift of Sea Ice, 259–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04683-4_8.
Texto completo da fonteHelmig, Rainer. "Numerical modeling". In Multiphase Flow and Transport Processes in the Subsurface, 141–227. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60763-9_4.
Texto completo da fonteModaressi-Farahmand-Razavi, Arezou. "Numerical Modeling". In Multiscale Geomechanics, 243–332. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601433.ch9.
Texto completo da fonteVyzikas, Thomas, e Deborah Greaves. "Numerical Modelling". In Wave and Tidal Energy, 289–363. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119014492.ch8.
Texto completo da fonteGornitz, Vivian, Nicholas C. Kraus, Nicholas C. Kraus, Ping Wang, Ping Wang, Gregory W. Stone, Richard Seymour et al. "Numerical Modeling". In Encyclopedia of Coastal Science, 730–33. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3880-1_232.
Texto completo da fonteLee, Kun Sang, e Tae Hong Kim. "Numerical Modeling". In Integrative Understanding of Shale Gas Reservoirs, 43–55. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29296-0_3.
Texto completo da fonteHuilgol, Raja R., e Georgios C. Georgiou. "Numerical Modelling". In Fluid Mechanics of Viscoplasticity, 323–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98503-5_10.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Numerical modellng"
Gale, J. D. "Modelling the thermal expansion of zeolites". In Neutrons and numerical methods. AIP, 1999. http://dx.doi.org/10.1063/1.59485.
Texto completo da fonteFrench, S. A., e C. R. A. Catlow. "Molecular modelling of organic superconducting salts". In Neutrons and numerical methods. AIP, 1999. http://dx.doi.org/10.1063/1.59479.
Texto completo da fonteKozák, Vladislav. "Cohesive Zone Modelling". In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990924.
Texto completo da fonteSzyszka, Barbara, Theodore E. Simos, George Psihoyios e Ch Tsitouras. "Mathematical Modeling of Secondary Timber Processing". In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790201.
Texto completo da fonteBlacquière, Gerrit, e Edith van Veldhuizen. "Physical modeling versus numerical modeling". In SEG Technical Program Expanded Abstracts 2003. Society of Exploration Geophysicists, 2003. http://dx.doi.org/10.1190/1.1817878.
Texto completo da fonteBabovsky, Hans. "Numerical Modelling of Gelating Aerosols". In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2991081.
Texto completo da fonteMalta, Edgard Borges, Marcos Cueva, Kazuo Nishimoto, Rodolfo Golc¸alves e Isai´as Masetti. "Numerical Moonpool Modeling". In 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92456.
Texto completo da fonteSzyszka, Barbara, e Klaudyna Rozmiarek. "Mathematical Modeling of Primary Wood Processing". In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2990980.
Texto completo da fonteVenturino, Ezio, e Andrea Ghersi. "Modelling Crop Biocontrol by Wanderer Spiders". In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2991096.
Texto completo da fonteTomiya, Mitsuyoshi. "Numerical approach to spectral properties of coupled quartic oscillators". In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386841.
Texto completo da fonteRelatórios de organizações sobre o assunto "Numerical modellng"
Wang, Yao, Mirela D. Tumbeva e Ashley P. Thrall. Evaluating Reserve Strength of Girder Bridges Due to Bridge Rail Load Shedding. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317308.
Texto completo da fonteMcAlpin, Jennifer, e Jason Lavecchia. Brunswick Harbor numerical model. Engineer Research and Development Center (U.S.), maio de 2021. http://dx.doi.org/10.21079/11681/40599.
Texto completo da fonteKrzanowsky, R. M., R. K. Singhal e N. H. Wade. Numerical modelling of material diggability. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304973.
Texto completo da fonteDelk, Tracey. Numerical Modeling of Slopewater Circulation. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 1996. http://dx.doi.org/10.21236/ada375720.
Texto completo da fonteStrain, John. Numerical Modelling of Crystal Growth. Fort Belvoir, VA: Defense Technical Information Center, setembro de 1992. http://dx.doi.org/10.21236/ada271206.
Texto completo da fonteCohen, R. H., B. I. Cohen e P. F. Dubois. Comprehensive numerical modelling of tokamaks. Office of Scientific and Technical Information (OSTI), janeiro de 1991. http://dx.doi.org/10.2172/6205417.
Texto completo da fonteTorres, Marissa, Michael-Angelo Lam e Matt Malej. Practical guidance for numerical modeling in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), outubro de 2022. http://dx.doi.org/10.21079/11681/45641.
Texto completo da fonteLips, Urmas, Oliver Samlas, Vasily Korabel, Jun She, Stella-Theresa Stoicescu e Caroline Cusack. Demonstration of annual/quarterly assessments and description of the production system. EuroSea, 2022. http://dx.doi.org/10.3289/eurosea_d6.2.
Texto completo da fonteFederico, Ivan. CMEMS downscaled circulation operational forecast system. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.3_v2.
Texto completo da fonteFrederico, Ivan. CMEMS downscaled circulation operational forecast system. EuroSea, 2021. http://dx.doi.org/10.3289/eurosea_d5.3.
Texto completo da fonte