Academic literature on the topic 'Numerical modellng'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Numerical modellng.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Numerical modellng":
Jaichuang, Atit, and Wirawan Chinviriyasit. "Numerical Modelling of Influenza Model with Diffusion." International Journal of Applied Physics and Mathematics 4, no. 1 (2014): 15–21. http://dx.doi.org/10.7763/ijapm.2014.v4.247.
Makokha, Mary, Akira Kobayashi, and Shigeyasu Aoyama. "Numerical Modeling of Seawater Intrusion Management Measures." Journal of Rainwater Catchment Systems 14, no. 1 (2008): 17–24. http://dx.doi.org/10.7132/jrcsa.kj00004978338.
Gerya, Taras V., David Fossati, Curdin Cantieni, and Diane Seward. "Dynamic effects of aseismic ridge subduction: numerical modelling." European Journal of Mineralogy 21, no. 3 (June 29, 2009): 649–61. http://dx.doi.org/10.1127/0935-1221/2009/0021-1931.
O. B. Silva, Augusto, Newton O. P. Júnior, and João A. V. Requena. "Numerical Modeling of a Composite Hollow Vierendeel-Truss." International Journal of Engineering and Technology 7, no. 3 (June 2015): 176–82. http://dx.doi.org/10.7763/ijet.2015.v7.788.
ADETU, Alina-Elena, Cătălin ADETU, and Vasile NĂSTĂSESCU. "NUMERICAL MODELING OF ACOUSTIC WAVE PROPAGATION IN UNLIMITED SPACE." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 21, no. 1 (October 8, 2019): 80–87. http://dx.doi.org/10.19062/2247-3173.2019.21.12.
Sosnowski, Marcin, and 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.
ITO, Yusuke, Toru KIZAKI, Naohiko SUGITA, and 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_.
Troyani, N., L. E. Montano, and O. M. Ayala. "Numerical modeling of thermal evolution in hot metal coiling." Revista de Metalurgia 41, Extra (December 17, 2005): 488–92. http://dx.doi.org/10.3989/revmetalm.2005.v41.iextra.1082.
Hebda, Kamil, Łukasz Habera, and Piotr Koślik. "Modelowanie numeryczne ładunków kumulacyjnych z wkładkami dzielonymi dwuczęściowymi." Nafta-Gaz 77, no. 4 (April 2021): 264–69. http://dx.doi.org/10.18668/ng.2021.04.06.
Chenari, B., S. S. Saadatian, and Almerindo D. Ferreira. "Numerical Modelling of Regular Waves Propagation and Breaking Using Waves2Foam." Journal of Clean Energy Technologies 3, no. 4 (2015): 276–81. http://dx.doi.org/10.7763/jocet.2015.v3.208.
Dissertations / Theses on the topic "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.
The 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]
XIII n.s.
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.
Lin, Yuan. "Numerical modeling of dielectrophoresis." Licentiate thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4014.
Zolfaghari, 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.
Diese 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.
One 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.
Pak, 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.
Vedin, 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.
Johansson, 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.
Kim, Chu-p'yŏ. "Numerical modeling of MILD combustion." Aachen Shaker, 2008. http://d-nb.info/988365464/04.
Books on the topic "Numerical modellng":
Miidla, Peep. Numerical modelling. Rijeka, Croatia: InTech, 2012.
Haidvogel, Dale B. Numerical ocean circulation modeling. London: Imperial College Press, 1999.
1929-, Chung T. J., ed. Numerical modeling in combustion. Washington, DC: Taylor & Francis, 1993.
Gerya, Taras. Introduction to numerical geodynamic modelling. New York: Cambridge University Press, 2010.
S, Oran Elaine, and Boris Jay P, eds. Numerical approaches to combustion modeling. Washington, DC: American Institute of Aeronautics and Astronautics, 1991.
Fischer, C. T. Numerical modelling of impedance spectra. Manchester: UMIST, 1993.
Schmidt, Wolfram. Numerical Modelling of Astrophysical Turbulence. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01475-3.
Hofstetter, Günter, and Günther Meschke, eds. Numerical Modeling of Concrete Cracking. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0897-0.
Chalikov, Dmitry V. Numerical Modeling of Sea Waves. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32916-1.
O’Brien, James J., ed. Advanced Physical Oceanographic Numerical Modelling. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-017-0627-8.
Book chapters on the topic "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.
Waugh, 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.
Pesavento, Francesco, Agnieszka Knoppik, Vít Šmilauer, Matthieu Briffaut, and 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.
Leppäranta, 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.
Helmig, 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.
Modaressi-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.
Vyzikas, Thomas, and 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.
Gornitz, 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.
Lee, Kun Sang, and 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.
Huilgol, Raja R., and 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.
Conference papers on the topic "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.
French, S. A., and 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.
Kozák, 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.
Szyszka, Barbara, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Mathematical Modeling of Secondary Timber Processing." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790201.
Blacquière, Gerrit, and 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.
Babovsky, 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.
Malta, Edgard Borges, Marcos Cueva, Kazuo Nishimoto, Rodolfo Golc¸alves, and 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.
Szyszka, Barbara, and 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.
Venturino, Ezio, and 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.
Tomiya, Mitsuyoshi. "Numerical approach to spectral properties of coupled quartic oscillators." In Modeling complex systems. AIP, 2001. http://dx.doi.org/10.1063/1.1386841.
Reports on the topic "Numerical modellng":
Wang, Yao, Mirela D. Tumbeva, and 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.
McAlpin, Jennifer, and Jason Lavecchia. Brunswick Harbor numerical model. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40599.
Krzanowsky, R. M., R. K. Singhal, and 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.
Delk, Tracey. Numerical Modeling of Slopewater Circulation. Fort Belvoir, VA: Defense Technical Information Center, January 1996. http://dx.doi.org/10.21236/ada375720.
Strain, John. Numerical Modelling of Crystal Growth. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada271206.
Cohen, R. H., B. I. Cohen, and P. F. Dubois. Comprehensive numerical modelling of tokamaks. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6205417.
Torres, Marissa, Michael-Angelo Lam, and Matt Malej. Practical guidance for numerical modeling in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45641.
Lips, Urmas, Oliver Samlas, Vasily Korabel, Jun She, Stella-Theresa Stoicescu, and Caroline Cusack. Demonstration of annual/quarterly assessments and description of the production system. EuroSea, 2022. http://dx.doi.org/10.3289/eurosea_d6.2.
Federico, Ivan. CMEMS downscaled circulation operational forecast system. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.3_v2.
Frederico, Ivan. CMEMS downscaled circulation operational forecast system. EuroSea, 2021. http://dx.doi.org/10.3289/eurosea_d5.3.