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Artykuły w czasopismach na temat "Computer simulation"

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Zheng, Lei, Ying Huang, Dong Liu, and Wei Yan Xing. "A Reliability Simulation Method for On-Board Computer." Applied Mechanics and Materials 380-384 (August 2013): 3350–53. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3350.

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As high reliable equipment, on-board computer often has difficulties to evaluate its reliability. The paper put forward a simulation method to compute on-board computers reliability. The method uses a forced transition (FT) based reliability simulation model to deal with the on-board computers that have complex structure and diversiform characteristic parameters. The model is particularly suitable for the on-board computers which are composed of the components whose failure processes obey tub life curve. As an example, a prototype on-board computer was put forward and simulated using the model
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Wu, Qing, Maksym Spiryagin, Ingemar Persson, Chris Bosomworth, and Colin Cole. "Parallel computing of wheel-rail contact." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 10 (2019): 1109–16. http://dx.doi.org/10.1177/0954409719880737.

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Railway wheel–rail contact simulations are the most important and time-consuming tasks when simulating the system dynamics of vehicles. Parallel computing is a good approach for improving the numerical computing speed. This paper reports the advances in parallel computing of the wheel–rail contact simulations. The proposed method uses OpenMP to parallelise the multiple contact points of all the wheel–rail interfaces of a locomotive model. The method has been implemented in the vehicle system dynamics simulation package GENSYS. Simulations were conducted using two numerical solvers (4th Runge-K
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PREVE, NIKOLAOS P., and EMMANUEL N. PROTONOTARIOS. "MONTE CARLO SIMULATION ON COMPUTATIONAL FINANCE FOR GRID COMPUTING." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (2012): 1250010. http://dx.doi.org/10.1142/s1793962312500109.

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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating complex systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is infeasible or impossible to compute an exact result with a deterministic algorithm. In finance, Monte Carlo simulation method is used to calculate the value of companies, to evaluate economic investments and financial derivatives. On
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Pias, Claus. "On the Epistemology of Computer Simulation." ZMK Zeitschrift für Medien- und Kulturforschung 2/1/2011: Offene Objekte 2, no. 1 (2011): 29–54. http://dx.doi.org/10.28937/1000107521.

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"Der Aufsatz plädiert dafür, die Geschichte der wissenschaftlichen Computersimulation auf eine spezifisch medienhistorische Weise zu untersuchen. Nach einigen Vorschlägen zur Charakterisierung der Besonderheiten von Computersimulationen werden zwei Beispiele interpretiert (Management-Simulationen der 1960er und verkehrstechnische bzw. epidemiologische Simulationen der 1990er). Daraus leiten sich Fragen nach dem veränderten Status wissenschaftlichen Wissens, nach der Genese wissenschaftstheoretischer Konzepte und nach wissenschaftskritischen Optionen ab. </br></br>The paper suggests
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Adavize, Momoh Hameed, and Mohammed Ahmed. "Assessing hardware-driven variations from workstations to personal computers in gate simulation time for radioembolization studies." Science World Journal 20, no. 1 (2025): 181–85. https://doi.org/10.4314/swj.v20i1.24.

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Monte Carlo GATE (Geant4 Application for Tomographic Emission) is widely used in medical physics for tomographic emission simulations, particularly in nuclear medicine procedures like radioembolization for liver cancer treatment. Despite its userfriendly interface, GATE simulations are often criticized for their slow computational speed, which poses challenges for students and researchers. Factors such as computer hardware (RAM, CPU, GPU, storage type), simulation settings, and the complexity of physics modeling significantly influence simulation times. This study investigates how hardware con
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Wang, A. T. "Finite-Simulation Error Bounds for Estimated K-Year Forces." Journal of Offshore Mechanics and Arctic Engineering 111, no. 4 (1989): 273–77. http://dx.doi.org/10.1115/1.3257095.

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Computer simulations have been used frequently to calculate design loads associated with a specific return period for offshore structures. However, two important questions persistently confront engineers who simulate load events on computers to estimate k-year forces: 1) How accurate is the estimated k-year force (say, 100-yr force) obtained through a computer simulation of n years (e.g., n = 1000) compared to that which would result from a much longer simulation? 2) When can we stop a computer simulation? Or how many simulation years are needed to reach a specified level of reliability for a
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Matsuoka, Takaaki. "Computer Simulation." Nihon Reoroji Gakkaishi 31, no. 1 (2003): 51–57. http://dx.doi.org/10.1678/rheology.31.51.

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Fishwick, P. A. "Computer simulation." IEEE Potentials 15, no. 1 (1996): 24–27. http://dx.doi.org/10.1109/45.481372.

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Nance, Richard E., and C. Michael Overstreet. "Computer simulation." ACM SIGSIM Simulation Digest 24, no. 3 (1995): 40–50. http://dx.doi.org/10.1145/219271.219277.

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Klaassens, Elizabeth. "Computer Simulation." Nurse Educator 13, no. 2 (1988): 7. http://dx.doi.org/10.1097/00006223-198803000-00004.

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Rozprawy doktorskie na temat "Computer simulation"

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Rowley, Adrian. "Computer simulation of oxides." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298405.

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Henson, Neil Jon. "Computer simulation of zeolites." Thesis, University of Oxford, 1996. http://ora.ox.ac.uk/objects/uuid:bd348db7-259a-42e2-952c-0e4723978b63.

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The application of a wide range of computational methods to several problems in zeolite chemistry is explored in this thesis. Symmetry-constrained lattice energy minimisations have been performed on a series of pure silica polymorphs using the shell model for silicates and quantitative agreement is found between the experimental and calculated structures. The computed lattice energies of the silicas are found to be between 8 and 20 kJmol<sup>-1</sup> less stable than quartz. The energies are found to be directly dependent on the densities of the structures and show good agreement with a recent
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Drew, Philip Morton. "Computer simulation of dendrimers." Thesis, University of Leeds, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418245.

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Hawkins, James David. "Computer simulation of trachoma." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.255761.

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Moskalenko, A. M. "Nature of computer simulation." Thesis, Київський національний університет технологій та дизайну, 2019. https://er.knutd.edu.ua/handle/123456789/14368.

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Růžička, Štěpán. "Computer simulation of mesocrystals." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/63807/.

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The mesoscale is a thousand times larger than the atomistic scale with colloidal particles, rather than atoms or molecules, forming the constituent building blocks for organized structures. Nanotechnology has recently started interpreting colloidal units as colloidal molecules, and a lot of interest emerged in their assembly into self-organized structures called colloidal crystals. A mesocrystal is a special type of colloidal crystal, where constituent colloidal units are crystallographically registered nanocrystals. Computer simulation of colloidal self-assembly requires coarse-graining, wher
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Melheim, Jens Andreas. "Computer simulation of turbulent electrocoalescence." Doctoral thesis, Norwegian University of Science and Technology, Department of Energy and Process Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1514.

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<p>Offshore wells produce some water, and the ratio of water increases during the lifetime of a well, in particular when water is injected to increase the extraction rate. Hence, oil companies demand techniques that enhance the separation of oil and water. A speed-up of the separation process is achieved by applying electric fields to turbulent-flow water-in-oil emulsions. The electric field gives rise to attractive forces between close droplets and increases the probability of coalescence at contact, while the turbulence enhances the frequency of droplet collisions.</p><p>To improve the under
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Alam, Sadaf. "Simulation of the UKQCD computer." Thesis, University of Edinburgh, 2004. http://hdl.handle.net/1842/24120.

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HASE, the Hierarchical computer Architecture design and Simulation Environment, allows for parameterised prototyping of computing systems at multiple abstraction levels encompassing system hardware and application software components. The UKQCD computer simulation research aims to explore the design space and to investigate the performance restricting features of a recent, application-specific supercomputer called QCDOC — Quantum Chromodynamics On-Chip. QCD is a particle physics theory and a 'grand challenge' application. The QCDOC computer employs IBM System-On-Chip technology for a Teraflop-
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Steiner, Stefan. "Grace Hospital computer simulation model." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/27638.

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A simulation model, written in GPSS/H, was created to study utilization of Grace Hospital, a special-purpose maternity hospital. The model assumes that a patient's transfers and length of stay depend only on her present location and classification, and not on any past history. The model includes a sophisticated overflow policy, and allows the factors used to govern a patient's transfers and length of stay to depend on her treatment stage. Also, to more accurately simulate the mid-morning peak load in the hospital, the length of stay in Postpartum depends on a patient's arrival time in Postpart
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Eldridge, Matthew David. "Computer simulation of colloidal suspensions." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359410.

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Książki na temat "Computer simulation"

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Watson, Hugh J. Computer simulation. 2nd ed. Wiley, 1989.

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1948-, Blackstone John H., ed. Computer simulation. 2nd ed. Wiley, 1989.

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Dr. Holm, Christian, and Kurt Prof. Dr. Kremer, eds. Advanced Computer Simulation. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b98052.

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Beisbart, Claus, and Nicole J. Saam, eds. Computer Simulation Validation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-70766-2.

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United States. Office of Naval Research, ed. ENEWS, computer simulation. Office of Naval Research, 1990.

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Stauffer, Dietrich, Friedrich W. Hehl, Volker Winkelmann, and John G. Zabolitzky. Computer Simulation and Computer Algebra. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-97091-7.

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Stauffer, Dietrich, Friedrich W. Hehl, Volker Winkelmann, and John G. Zabolitzky. Computer Simulation and Computer Algebra. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-97174-7.

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Stauffer, Dietrich, Friedrich W. Hehl, Nobuyasu Ito, Volker Winkelmann, and John G. Zabolitzky. Computer Simulation and Computer Algebra. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78117-9.

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Allen, M. P. Computer simulation of liquids. Clarendon Press, 1989.

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W, Eastwood James, ed. Computer simulation using particles. A. Hilger, 1988.

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Części książek na temat "Computer simulation"

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Pound, Ronald. "Computer Simulation." In The Electronics Assembly Handbook. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-13161-9_85.

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Roberson, Robert E., and Richard Schwertassek. "Computer Simulation." In Dynamics of Multibody Systems. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-86464-3_14.

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Watson, John. "Computer Simulation." In Mastering Electronics. Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-14210-1_16.

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Greenwood, Nigel R. "Computer Simulation." In Implementing Flexible Manufacturing Systems. Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-07959-9_7.

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Shoji, Takeshi, and Nobuo Adachi. "Computer Simulation." In Advances in Total Hip Arthroplasty. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2461-1_17.

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Kay, Steven M. "Computer Simulation." In Intuitive Probability and Random Processes Using MATLAB®. Springer US, 2012. http://dx.doi.org/10.1007/0-387-24158-2_2.

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Dickinson, Eric, and D. Julian McClements. "Computer Simulation." In Advances in Food Colloids. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1223-9_4.

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Mohan, Ram K., Andrew D. Short, Gillian Cambers, et al. "Computer Simulation." In Encyclopedia of Coastal Science. Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3880-1_96.

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Toyota, Yasuhisa, Motoo Komoda, Daniel Beckmann, Marc Quiquerez, and Erik Bergal. "Computer Simulation." In Concert Halls by Nagata Acoustics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42450-3_38.

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KÜppers, Günter. "Computer Simulation: Practice, Epistemology, and Social Dynamics." In Simulation. Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-5375-4_1.

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Streszczenia konferencji na temat "Computer simulation"

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Jobava, R., D. Karkashadze, P. Shubitidze, et al. "Computer Simulation of ESD." In 12th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility. IEEE, 1997. https://doi.org/10.23919/emc.1997.10783826.

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Banerjee, G., and K. L. Vasanth. "Computer Simulation of Inhibitor Application - A Review." In CORROSION 1997. NACE International, 1997. https://doi.org/10.5006/c1997-97330.

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Abstract The rapid development of powerful software as well as hardware in computer technology has changed the traditional approach to all areas of science and technology. In the field of corrosion inhibitors, computers are used to model, simulate, analyze and monitor inhibitor applications in both laboratory and industrial environments. This paper will present an up-to-date critical review of such simulation studies.
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Murphy, A. T., F. J. Young, H. R. Vandegriff, and J. P. Curilla. "ICONSIM: Computer Aided Interconnection Simulation." In 7th International Zurich Symposium and Technical Exhibition on Electromagnetic Compatibility. IEEE, 1987. https://doi.org/10.23919/emc.1987.10779045.

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Adey, Robert, and Ernesto Santana Diaz. "Improving Pipeline Integrity Using Computer Simulation." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02070.

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Abstract Recent advances in computer modeling have enabled the condition of pipelines to be predicted using computer models that simulate the environment and the electrochemical processes on the metallic surfaces. Computers have also played an important role in the active monitoring of pipelines where the important parameters can be monitored in real time and alarm conditions rapidly identified. In spite of these advances current systems still require a frequent survey and inspection program. Another major issue to confront the pipeline engineer is interference. In an increasingly complex unde
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Garaliu-Busoi, Bogdan, Gabriel Vasilescu, Claudius Popescu, Claudia-Raluca Ilici, and Adina Pasculescu. "EVALUATION OF COMPUTER SIMULATION AND MODELING METHODS FOR BLASTING PROCESSES IN SURFACE MINES." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s03.37.

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The evaluation of computer simulation and modeling methods of pull processes carried out in open pit mines is a broad and complex topic, which involves the analysis and comparison of different techniques and tools used to simulate and model pull processes in quarries and open pit mines. The importance of computer simulation and modeling of recovery processes plays a crucial role in optimizing resource extraction, reducing costs, minimizing environmental impact, and ensuring worker safety. These technologies make it possible to predict the effects of different blasting strategies and choose the
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Chou, T. C., and F. W. Liou. "Computer Simulation of Three-Dimensional Mechanical Assemblies: Part II — Computer Simulation." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/cie1993-0071.

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Abstract Computer simulation of the kinematic and dynamic behaviors of mechanical assemblies has become a very important tool in design and manufacturing, because the designer can foresee how a product is going to perform before the product is actually fabricated. However, up to now, the most current simulation modules are based on analysis from another kinematic or dynamic module by specifying the mating conditions between components, and then displaying the motion on the screen. This computer simulation actually performs similarly to a movie, and can only provide visual checking. The drawbac
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Magagnosc, David. "Simulation in computer organization." In the twenty-fifth SIGCSE symposium. ACM Press, 1994. http://dx.doi.org/10.1145/191029.191100.

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Rosa, L., and R. Tosato. "Pulsed Combustion Computer Simulation." In 22nd Intersociety Energy Conversion Engineering Conference. American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-9022.

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Kelton, W. David. "Designing computer simulation experiments." In the 20th conference. ACM Press, 1988. http://dx.doi.org/10.1145/318123.318136.

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Ibbett, Roland N., J. C. Diaz y Carballo, and D. A. W. Dolman. "Computer architecture simulation models." In the 11th annual SIGCSE conference. ACM Press, 2006. http://dx.doi.org/10.1145/1140124.1140263.

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Raporty organizacyjne na temat "Computer simulation"

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Xu, Ping. Computer simulation of martensitic transformations. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10114699.

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Комарова, Олена Володимирівна, and Альберт Армаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR Workshop Proceedings (CEUR-WS.org), 2018. http://dx.doi.org/10.31812/123456789/2695.

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Abstract. Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of th
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Комарова, Олена Володимирівна, and Альберт Арамаїсович Азарян. Computer Simulation of Biological Processes at the High School. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/2656.

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Research goals: the necessity of study in high school of the law of Hardy – Weinberg as one of the fundamental genetic laws was justified. The peculiarities of using the method of model experiment in the study of the genetic and evolutionary processes in populations with the use of computer technology. Object of research: computer simulation of population genetic structure. Subject of research: computer simulation of genetic and evolutionary processes in ideal and real populations. Research methods: pedagogical experiment (survey), analysis of scientific publications on the use of the high sch
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Anderson, Wayne. Computer simulation of enzymes. Final report. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/1174152.

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Neu, S. C., and G. J. Morales. Computer Simulation of the Diocotron Instability. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada285655.

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Kettering, B., and P. Van Arsdall. Integrated computer control system startup simulation. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/8307.

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Kamegai, M. Computer simulation of underwater nuclear events. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/5275001.

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Winant, Clinton D., and Bradley T. Werner. Computer Simulation of Underwater Sediment Transport. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada263605.

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Burchett, S. N., D. R. Frear, and M. M. Rashid. Computer simulation of solder joint failure. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/477670.

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Boone, John M. Computer Simulation of Breast Cancer Screening. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada383107.

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