Literatura académica sobre el tema "Numerical modellng"
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Artículos de revistas sobre el tema "Numerical modellng"
Jaichuang, Atit y 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 completoMakokha, Mary, Akira Kobayashi y 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 completoGerya, Taras V., David Fossati, Curdin Cantieni y Diane Seward. "Dynamic effects of aseismic ridge subduction: numerical modelling". European Journal of Mineralogy 21, n.º 3 (29 de junio de 2009): 649–61. http://dx.doi.org/10.1127/0935-1221/2009/0021-1931.
Texto completoO. B. Silva, Augusto, Newton O. P. Júnior y João A. V. Requena. "Numerical Modeling of a Composite Hollow Vierendeel-Truss". International Journal of Engineering and Technology 7, n.º 3 (junio de 2015): 176–82. http://dx.doi.org/10.7763/ijet.2015.v7.788.
Texto completoADETU, Alina-Elena, Cătălin ADETU y 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 octubre de 2019): 80–87. http://dx.doi.org/10.19062/2247-3173.2019.21.12.
Texto completoSosnowski, Marcin y 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 completoITO, Yusuke, Toru KIZAKI, Naohiko SUGITA y 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 completoTroyani, N., L. E. Montano y O. M. Ayala. "Numerical modeling of thermal evolution in hot metal coiling". Revista de Metalurgia 41, Extra (17 de diciembre de 2005): 488–92. http://dx.doi.org/10.3989/revmetalm.2005.v41.iextra.1082.
Texto completoHebda, Kamil, Łukasz Habera y 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 completoChenari, B., S. S. Saadatian y 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 completoTesis sobre el tema "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 completoThe 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 completoLin, Yuan. "Numerical modeling of dielectrophoresis". Licentiate thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4014.
Texto completoZolfaghari, 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 completoDiese 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 completoOne 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 completoPak, 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 completoVedin, 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 completoJohansson, 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 completoKim, Chu-p'yŏ. "Numerical modeling of MILD combustion". Aachen Shaker, 2008. http://d-nb.info/988365464/04.
Texto completoLibros sobre el tema "Numerical modellng"
Miidla, Peep. Numerical modelling. Rijeka, Croatia: InTech, 2012.
Buscar texto completoHaidvogel, Dale B. Numerical ocean circulation modeling. London: Imperial College Press, 1999.
Buscar texto completo1929-, Chung T. J., ed. Numerical modeling in combustion. Washington, DC: Taylor & Francis, 1993.
Buscar texto completoGerya, Taras. Introduction to numerical geodynamic modelling. New York: Cambridge University Press, 2010.
Buscar texto completoS, Oran Elaine y Boris Jay P, eds. Numerical approaches to combustion modeling. Washington, DC: American Institute of Aeronautics and Astronautics, 1991.
Buscar texto completoFischer, C. T. Numerical modelling of impedance spectra. Manchester: UMIST, 1993.
Buscar texto completoSchmidt, Wolfram. Numerical Modelling of Astrophysical Turbulence. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01475-3.
Texto completoHofstetter, Günter y Günther Meschke, eds. Numerical Modeling of Concrete Cracking. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0897-0.
Texto completoChalikov, Dmitry V. Numerical Modeling of Sea Waves. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32916-1.
Texto completoO’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 completoCapítulos de libros sobre el tema "Numerical modellng"
Greenspan, Donald. "Numerical Methodology". En Particle Modeling, 7–21. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1992-7_2.
Texto completoWaugh, Rachael C. "Numerical Modelling". En 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 completoPesavento, Francesco, Agnieszka Knoppik, Vít Šmilauer, Matthieu Briffaut y Pierre Rossi. "Numerical Modelling". En 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 completoLeppäranta, Matti. "Numerical modelling". En 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 completoHelmig, Rainer. "Numerical modeling". En 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 completoModaressi-Farahmand-Razavi, Arezou. "Numerical Modeling". En Multiscale Geomechanics, 243–332. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601433.ch9.
Texto completoVyzikas, Thomas y Deborah Greaves. "Numerical Modelling". En Wave and Tidal Energy, 289–363. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119014492.ch8.
Texto completoGornitz, Vivian, Nicholas C. Kraus, Nicholas C. Kraus, Ping Wang, Ping Wang, Gregory W. Stone, Richard Seymour et al. "Numerical Modeling". En Encyclopedia of Coastal Science, 730–33. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3880-1_232.
Texto completoLee, Kun Sang y Tae Hong Kim. "Numerical Modeling". En 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 completoHuilgol, Raja R. y Georgios C. Georgiou. "Numerical Modelling". En Fluid Mechanics of Viscoplasticity, 323–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98503-5_10.
Texto completoActas de conferencias sobre el tema "Numerical modellng"
Gale, J. D. "Modelling the thermal expansion of zeolites". En Neutrons and numerical methods. AIP, 1999. http://dx.doi.org/10.1063/1.59485.
Texto completoFrench, S. A. y C. R. A. Catlow. "Molecular modelling of organic superconducting salts". En Neutrons and numerical methods. AIP, 1999. http://dx.doi.org/10.1063/1.59479.
Texto completoKozák, Vladislav. "Cohesive Zone Modelling". En 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 completoSzyszka, Barbara, Theodore E. Simos, George Psihoyios y Ch Tsitouras. "Mathematical Modeling of Secondary Timber Processing". En Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790201.
Texto completoBlacquière, Gerrit y Edith van Veldhuizen. "Physical modeling versus numerical modeling". En SEG Technical Program Expanded Abstracts 2003. Society of Exploration Geophysicists, 2003. http://dx.doi.org/10.1190/1.1817878.
Texto completoBabovsky, Hans. "Numerical Modelling of Gelating Aerosols". En 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 completoMalta, Edgard Borges, Marcos Cueva, Kazuo Nishimoto, Rodolfo Golc¸alves y Isai´as Masetti. "Numerical Moonpool Modeling". En 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92456.
Texto completoSzyszka, Barbara y Klaudyna Rozmiarek. "Mathematical Modeling of Primary Wood Processing". En 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 completoVenturino, Ezio y Andrea Ghersi. "Modelling Crop Biocontrol by Wanderer Spiders". En 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 completoTomiya, Mitsuyoshi. "Numerical approach to spectral properties of coupled quartic oscillators". En Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386841.
Texto completoInformes sobre el tema "Numerical modellng"
Wang, Yao, Mirela D. Tumbeva y 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 completoMcAlpin, Jennifer y Jason Lavecchia. Brunswick Harbor numerical model. Engineer Research and Development Center (U.S.), mayo de 2021. http://dx.doi.org/10.21079/11681/40599.
Texto completoKrzanowsky, R. M., R. K. Singhal y 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 completoDelk, Tracey. Numerical Modeling of Slopewater Circulation. Fort Belvoir, VA: Defense Technical Information Center, enero de 1996. http://dx.doi.org/10.21236/ada375720.
Texto completoStrain, John. Numerical Modelling of Crystal Growth. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1992. http://dx.doi.org/10.21236/ada271206.
Texto completoCohen, R. H., B. I. Cohen y P. F. Dubois. Comprehensive numerical modelling of tokamaks. Office of Scientific and Technical Information (OSTI), enero de 1991. http://dx.doi.org/10.2172/6205417.
Texto completoTorres, Marissa, Michael-Angelo Lam y Matt Malej. Practical guidance for numerical modeling in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), octubre de 2022. http://dx.doi.org/10.21079/11681/45641.
Texto completoLips, Urmas, Oliver Samlas, Vasily Korabel, Jun She, Stella-Theresa Stoicescu y 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 completoFederico, Ivan. CMEMS downscaled circulation operational forecast system. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.3_v2.
Texto completoFrederico, Ivan. CMEMS downscaled circulation operational forecast system. EuroSea, 2021. http://dx.doi.org/10.3289/eurosea_d5.3.
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