Knowledge (XXG)

Computer simulation

Source ๐Ÿ“

522:(DES) manages events in time. Most computer, logic-test and fault-tree simulations are of this type. In this type of simulation, the simulator maintains a queue of events sorted by the simulated time they should occur. The simulator reads the queue and triggers new events as each event is processed. It is not important to execute the simulation in real time. It is often more important to be able to access the data produced by the simulation and to discover logic defects in the design or the sequence of events. 173: 658: 2252: 2242: 418:) of the values are. Often they are expressed as "error bars", a minimum and maximum deviation from the value range within which the true value (is expected to) lie. Because digital computer mathematics is not perfect, rounding and truncation errors multiply this error, so it is useful to perform an "error analysis" to confirm that values output by the simulation will still be usefully accurate. 907: 61: 1151:. In some cases animations may also be useful in faster than real-time or even slower than real-time modes. For example, faster than real-time animations can be useful in visualizing the buildup of queues in the simulation of humans evacuating a building. Furthermore, simulation results are often aggregated into static images using various ways of 158: 1414: 580:. In agent-based simulation, the individual entities (such as molecules, cells, trees or consumers) in the model are represented directly (rather than by their density or concentration) and possess an internal state and set of behaviors or rules that determine how the agent's state is updated from one time-step to the next. 1184:. If, for instance, one of the key parameters (e.g., the net ratio of oil-bearing strata) is known to only one significant figure, then the result of the simulation might not be more precise than one significant figure, although it might (misleadingly) be presented as having four significant figures. 1158:
In debugging, simulating a program execution under test (rather than executing natively) can detect far more errors than the hardware itself can detect and, at the same time, log useful debugging information such as instruction trace, memory alterations and instruction counts. This technique can also
1136:
manufacturers make use of computer simulation to test safety features in new designs. By building a copy of the car in a physics simulation environment, they can save the hundreds of thousands of dollars that would otherwise be required to build and test a unique prototype. Engineers can step through
263:
that can be either small, running almost instantly on small devices, or large-scale programs that run for hours or days on network-based groups of computers. The scale of events being simulated by computer simulations has far exceeded anything possible (or perhaps even imaginable) using traditional
310:
A model consists of the equations used to capture the behavior of a system. By contrast, computer simulation is the actual running of the program that perform algorithms which solve those equations, often in an approximate manner. Simulation, therefore, is the process of running a model. Thus one
888:
In social sciences, computer simulation is an integral component of the five angles of analysis fostered by the data percolation methodology, which also includes qualitative and quantitative methods, reviews of the literature (including scholarly), and interviews with experts, and which forms an
494:
For steady-state simulations, equations define the relationships between elements of the modeled system and attempt to find a state in which the system is in equilibrium. Such models are often used in simulating physical systems, as a simpler modeling case before dynamic simulation is attempted.
1121:
are of crucial importance in the development of computer simulations. Another important aspect of computer simulations is that of reproducibility of the results, meaning that a simulation model should not provide a different answer for each execution. Although this might seem obvious, this is a
352:
The external data requirements of simulations and models vary widely. For some, the input might be just a few numbers (for example, simulation of a waveform of AC electricity on a wire), while others might require terabytes of information (such as weather and climate models).
855:
An understanding of statistical thermodynamic molecular theory is fundamental to the appreciation of molecular solutions. Development of the Potential Distribution Theorem (PDT) allows this complex subject to be simplified to down-to-earth presentations of molecular
627:(CGI) animation. Although observers could not necessarily read out numbers or quote math formulas, from observing a moving weather chart they might be able to predict events (and "see that rain was headed their way") much faster than by scanning tables of rain-cloud 343:
are not possible. There are many types of computer simulations; their common feature is the attempt to generate a sample of representative scenarios for a model in which a complete enumeration of all possible states of the model would be prohibitive or impossible.
1179:
to ensure that the accuracy of the results is properly understood. For example, the probabilistic risk analysis of factors determining the success of an oilfield exploration program involves combining samples from a variety of statistical distributions using the
1539:
Atanasov, AG; Waltenberger, B; Pferschy-Wenzig, EM; Linder, T; Wawrosch, C; Uhrin, P; Temml, V; Wang, L; Schwaiger, S; Heiss, EH; Rollinger, JM; Schuster, D; Breuss, JM; Bochkov, V; Mihovilovic, MD; Kopp, B; Bauer, R; Dirsch, VM; Stuppner, H (2015).
195:
being designed to represent the behaviour of, or the outcome of, a real-world or physical system. The reliability of some mathematical models can be determined by comparing their results to the real-world outcomes they aim to predict. Computer
631:. Such intense graphical displays, which transcended the world of numbers and formulae, sometimes also led to output that lacked a coordinate grid or omitted timestamps, as if straying too far from numeric data displays. Today, 405:
Systems that accept data from external sources must be very careful in knowing what they are receiving. While it is easy for computers to read in values from text or binary files, what is much harder is knowing what the
272:
High Performance Computer Modernization Program. Other examples include a 1-billion-atom model of material deformation; a 2.64-million-atom model of the complex protein-producing organelle of all living organisms, the
738:
multiparticle simulation of the response of nanomaterials at multiple scales to an applied force for the purpose of modeling their thermoelastic and thermodynamic properties. Techniques used for such simulations are
851:
in a pipe. A two-dimensional model might be used to simulate the drag forces on the cross-section of an aeroplane wing. A three-dimensional simulation might estimate the heating and cooling requirements of a large
380:"invariant" data is often built into the model code, either because the value is truly invariant (e.g., the value of ฯ€) or because the designers consider the value to be invariant for all cases of interest; 1088:
to plan or redesign parts of the street network from single junctions over cities to a national highway network to transportation system planning, design and operations. See a more detailed article on
264:
paper-and-pencil mathematical modeling. In 1997, a desert-battle simulation of one force invading another involved the modeling of 66,239 tanks, trucks and other vehicles on simulated terrain around
460:, e.g. electric systems, hydraulic systems or multi-body mechanical systems (described primarily by DAE:s) or dynamics simulation of field problems, e.g. CFD of FEM simulations (described by PDE:s). 847:
simulations are used to simulate the behaviour of flowing air, water and other fluids. One-, two- and three-dimensional models are used. A one-dimensional model might simulate the effects of
1884: 623:. However, psychologists and others noted that humans could quickly perceive trends by looking at graphs or even moving-images or motion-pictures generated from the data, as displayed by 1889: 590:. Simulations dispersed across multiple host computers like this are often referred to as "distributed simulations". There are several standards for distributed simulation, including 545:). Periodically, the simulation program solves all the equations and uses the numbers to change the state and output of the simulation. Applications include flight simulators, 1894: 646:
might shrink or change during an extended period of medical treatment, presenting the passage of time as a spinning view of the visible human head, as the tumor changes.
615:
Formerly, the output data from a computer simulation was sometimes presented in a table or a matrix showing how data were affected by numerous changes in the simulation
1793:
Desa, W. L. H. M., Kamaruddin, S., & Nawawi, M. K. M. (2012). Modeling of Aircraft Composite Parts Using Simulation. Advanced Material Research, 591โ€“593, 557โ€“560.
649:
Other applications of CGI computer simulations are being developed to graphically display large amounts of data, in motion, as changes occur during a simulation run.
2046: 1980: 1861: 1856: 1830: 1126:, where random numbers should actually be semi-random numbers. An exception to reproducibility are human-in-the-loop simulations such as flight simulations and 782:, where it is often called "individual based modeling" and is used in situations for which individual variability in the agents cannot be neglected, such as 546: 1681:
Baase, Sara. A Gift of Fire: Social, Legal, and Ethical Issues for Computing and the Internet. 3. Upper Saddle River: Prentice Hall, 2007. Pages 363โ€“364.
311:
would not "build a simulation"; instead, one would "build a model (or a simulator)", and then either "run the model" or equivalently "run a simulation".
2013: 1922: 1917: 1351: 2291: 603: 576:
A special type of discrete simulation that does not rely on a model with an underlying equation, but can nonetheless be represented formally, is
2296: 166: 1784: 1616: 1451: 1209: 1085: 924: 810: 599: 471:
Another way of categorizing models is to look at the underlying data structures. For time-stepped simulations, there are two main classes:
78: 1130:. Here a human is part of the simulation and thus influences the outcome in a way that is hard, if not impossible, to reproduce exactly. 635:
models tend to balance the view of moving rain/snow clouds against a map that uses numeric coordinates and numeric timestamps of events.
2104: 1879: 1728: 1715: 1457: 591: 319:
Computer simulation developed hand-in-hand with the rapid growth of the computer, following its first large-scale deployment during the
291:(Switzerland), begun in May 2005 to create the first computer simulation of the entire human brain, right down to the molecular level. 248:. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new 1666: 1006: 595: 437:(and as a special case of deterministic, chaotic) โ€“ see external links below for examples of stochastic vs. deterministic simulations 1823: 1686: 1592: 1424: 1328: 1284: 946: 144: 394:
Because of this variety, and because diverse simulation systems have many common elements, there are a large number of specialized
125: 2227: 616: 763:
statistical simulations based upon an agglomeration of a large number of input profiles, such as the forecasting of equilibrium
97: 2170: 2041: 1300: 968: 890: 530: 383:
data can be entered into the simulation when it starts up, for example by reading one or more files, or by reading data from a
2276: 1384: 1355: 1098: 928: 841:
computer simulation for studying the selective sensitivity of bonds by mechanochemistry during grinding of organic molecules.
668:
Generic examples of types of computer simulations in science, which are derived from an underlying mathematical description:
542: 82: 752: 104: 2006: 1937: 538: 157: 2301: 2281: 2083: 1962: 1816: 882: 844: 693: 480: 426:
Models used for computer simulations can be classified according to several independent pairs of attributes, including:
2150: 1755: 1118: 411: 162: 111: 1137:
the simulation milliseconds at a time to determine the exact stresses being put upon each section of the prototype.
624: 299: 917: 71: 2245: 2119: 2088: 1899: 1305: 798: 550: 518: 451: 1082:
that simulate dynamic patterns of urban development and responses to urban land use and transportation policies.
93: 2286: 1999: 1476:"Comparison of Parameter Estimation Methods in Stochastic Chemical Kinetic Models: Examples in Systems Biology" 1152: 30:
This article is about computer model within a scientific context. For simulating a computer on a computer, see
1706:
edited by Soeters, Joseph; Shields, Patricia and Rietjens, Sebastiaan. pp. 249โ€“260. New York: Routledge,
1975: 1947: 1871: 1766: 1030: 817: 728: 509: 434: 499:
Dynamic simulations attempt to capture changes in a system in response to (usually changing) input signals.
339:. Computer simulation is often used as an adjunct to, or substitute for, modeling systems for which simple 2255: 1942: 1059: 561:, where the differential equations could be represented directly by various electrical components such as 534: 415: 184: 1359: 2222: 1909: 1848: 1234: 1224: 1123: 673: 583: 464: 279: 205: 1952: 1932: 1702:
Young, Joseph and Findley, Michael. 2014. "Computational Modeling to Study Conflicts and Terrorism."
1487: 1254: 1176: 1064: 1055: 475:
Simulations which store their data in regular grids and require only next-neighbor access are called
447: 340: 1244: 1229: 1194: 1148: 783: 744: 697: 632: 443: 395: 295: 253: 676:
that cannot be solved analytically, theories that involve continuous systems such as phenomena in
176:
Process of building a computer model, and the interplay between experiment, simulation, and theory
2145: 1927: 1181: 1164: 1089: 1049:
behavior of structures (such as buildings and industrial parts) under stress and other conditions
828: 748: 740: 732: 677: 620: 554: 503: 457: 430: 384: 336: 118: 49: 172: 2124: 1970: 1780: 1682: 1662: 1612: 1571: 1521: 1503: 1447: 1441: 1420: 1280: 1204: 1140: 1017: 772: 701: 657: 577: 320: 1703: 1542:"Discovery and resupply of pharmacologically active plant-derived natural products: A review" 2196: 2191: 1741:
Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View
1561: 1553: 1511: 1495: 1114: 1110: 1043: 1011: 1000: 870: 566: 260: 2201: 2160: 2129: 2114: 2022: 1596: 1249: 1239: 1214: 1160: 1022: 861: 558: 487: 1723: 1589: 1336: 1491: 2186: 1566: 1541: 1516: 1475: 1127: 1073: 974: 875: 832: 768: 681: 619:. The use of the matrix format was related to traditional use of the matrix concept in 328: 237: 1443:
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
1175:
Although sometimes ignored in computer simulations, it is very important to perform a
2270: 2165: 2155: 1557: 1379: 996: 978: 964: 720: 712: 689: 685: 225: 1736: 1710: 1314: 889:
extension of data triangulation. Of course, similar to any other scientific method,
860:
Notable, and sometimes controversial, computer simulations used in science include:
1374: 1352:"Largest computational biology simulation mimics life's most essential nanomachine" 1199: 1163:
and similar "hard to detect" errors as well as produce performance information and
848: 643: 476: 332: 324: 209: 200:
have become a useful tool for the mathematical modeling of many natural systems in
45: 37:"Computer model" redirects here. For computer models of 3 dimensional objects, see 17: 1776:
Building Software for Simulation: Theory and Algorithms, with Applications in C++
1774: 1652: 565:. By the late 1980s, however, most "analog" simulations were run on conventional 2206: 1658: 1109:
The reliability and the trust people put in computer simulations depends on the
959:
Computer simulations are used in a wide variety of practical contexts, such as:
906: 806: 764: 724: 390:
data can be provided during the simulation run, for example by a sensor network.
245: 241: 213: 60: 38: 1808: 1803: 1590:
Study on grinding of pharmaceutical products with an aid of computer simulation
1219: 1144: 878: 715:
and which cannot be described directly with differential equations (this is a
708: 628: 284: 249: 233: 197: 1763:
Extending Ourselves: Computational Science, Empiricism, and Scientific Method
1654:
The Every Computer Performance Book, Chapter 7: Modeling Computer Performance
1507: 1629: 989: 229: 217: 1575: 1525: 486:
If the underlying graph is not a regular grid, the model may belong to the
363:
Control surfaces used to direct the progress of the simulation in some way;
586:
models run on a network of interconnected computers, possibly through the
1079: 1036: 985: 771:
data to be input for a specific locale. This technique was developed for
639: 587: 570: 407: 372:
Values output for the purpose by other simulations, models, or processes.
274: 188: 31: 1275:
Strogatz, Steven (2007). "The End of Insight". In Brockman, John (ed.).
1310: 1133: 931: in this section. Unsourced material may be challenged and removed. 779: 662: 221: 201: 1737:
The World as a Process: Simulations in the Natural and Social Sciences
1499: 794:(most purely mathematical models assume all trout behave identically). 557:. Originally, these kinds of simulations were actually implemented on 2067: 2062: 2036: 1744: 1095:
modeling car crashes to test safety mechanisms in new vehicle models.
865: 787: 562: 399: 265: 719:
simulation in the above sense). Phenomena in this category include
711:
simulation, typically used for discrete systems where events occur
1991: 1102: 1052:
design of industrial processes, such as chemical processing plants
821: 791: 192: 838:
computer simulation to model viral infection in mammalian cells.
802: 797:
time stepped dynamic model. In hydrology there are several such
288: 1995: 1812: 1804:
Guide to the Computer Simulation Oral History Archive 2003-2018
1413:
Bratley, Paul; Fox, Bennet L.; Schrage, Linus E. (2011-06-28).
1067:
for the petroleum engineering to model the subsurface reservoir
1398:
Santner, Thomas J; Williams, Brian J; Notz, William I (2003).
1147:
can be used to experience a simulation in real-time, e.g., in
900: 269: 54: 1143:
can be used to display the results of a computer simulation.
252:
and to estimate the performance of systems too complex for
1704:
Routledge Handbook of Research Methods in Military Studies
360:
Sensors and other physical devices connected to the model;
44:"Digital model" redirects here. For digital twinning, see 27:
Process of mathematical modelling, performed on a computer
1101:
in agriculture, via dedicated software frameworks (e.g.
1042:
forecasting of prices on financial markets (for example
1630:"Making Models Match: Replicating an Agent-Based Model" 369:
Values extracted as a by-product from other processes;
277:, in 2005; a complete simulation of the life cycle of 1634:
Journal of Artificial Societies and Social Simulation
1076:
for the design of robots and robot control algorithms
816:
computer simulations have also been used to formally
1301:"Researchers stage largest Military Simulation ever" 778:
agent based simulation has been used effectively in
376:
Lastly, the time at which data is available varies:
2215: 2179: 2138: 2097: 2076: 2055: 2029: 1961: 1908: 1870: 1847: 759:Specific examples of computer simulations include: 85:. Unsourced material may be challenged and removed. 294:Because of the computational cost of simulation, 893:is an important part of computational modeling 1611:United States: Springer Psychology: 126 pages. 1588:Mizukami, Koichi; Saito, Fumio; Baron, Michel. 1474:Gupta, Ankur; Rawlings, James B. (April 2014). 1400:The design and analysis of computer experiments 1329:"Molecular Simulation of Macroscopic Phenomena" 450:(and as an important special case of discrete, 1446:. University Science Books. pp. 128โ€“129. 2007: 1824: 259:Computer simulations are realized by running 8: 731:with small numbers of molecules. (see also: 547:construction and management simulation games 1375:"Mission to build a simulated brain begins" 767:of receiving waters, allowing the gamut of 366:Current or historical data entered by hand; 2014: 2000: 1992: 1831: 1817: 1809: 1743:, Theory and Decision Library. Dordrecht: 1609:Creating Models in Psychological Research. 1752:Science in the Age of Computer Simulation 1565: 1515: 1419:. Springer Science & Business Media. 973:As a possible humane alternative to live 947:Learn how and when to remove this message 145:Learn how and when to remove this message 656: 171: 156: 48:. For virtual fictional characters, see 1267: 638:Similarly, CGI computer simulations of 604:Test and Training Enabling Architecture 268:, using multiple supercomputers in the 1350:Ambrosiano, Nancy (October 19, 2005). 661:Computer simulation of the process of 298:are used to perform inference such as 167:Weather Research and Forecasting model 1628:Wilensky, Uri; Rand, William (2007). 1070:process engineering simulation tools. 483:applications belong to this category. 7: 1469: 1467: 1373:Graham-Rowe, Duncan (June 6, 2005). 1210:List of computer simulation software 929:adding citations to reliable sources 813:for river water quality forecasting. 811:U.S. Environmental Protection Agency 600:High Level Architecture (simulation) 83:adding citations to reliable sources 2105:Climate change mitigation scenarios 1739:, in: R. Hegselmann et al. (eds.), 1729:Stanford Encyclopedia of Philosophy 1716:Stanford Encyclopedia of Philosophy 592:Aggregate Level Simulation Protocol 573:the behavior of an analog computer. 1313:. December 4, 1997. Archived from 984:design of complex systems such as 596:Distributed Interactive Simulation 25: 1035:simulation of other computers is 1027:simulation of electrical circuits 818:model theories of human cognition 513:to model chance or random events; 161:A 48-hour computer simulation of 2251: 2250: 2241: 2240: 1558:10.1016/j.biotechadv.2015.08.001 1460:from the original on 2015-03-16. 1387:from the original on 2015-02-09. 905: 531:differential-algebraic equations 356:Input sources also vary widely: 59: 2171:Integrated assessment modelling 969:atmospheric dispersion modeling 916:needs additional citations for 529:performs numerical solution of 70:needs additional citations for 2292:Alternatives to animal testing 1895:Monte Carlo molecular modeling 1356:Los Alamos National Laboratory 1122:special point of attention in 341:closed form analytic solutions 228:, as well as human systems in 1: 2297:Computational fields of study 1938:Electronic circuit simulation 694:roadway air dispersion models 527:continuous dynamic simulation 402:. There are now many others. 2084:Open energy system databases 1857:Protein structure prediction 1277:What is your dangerous idea? 1090:Simulation in Transportation 845:Computational fluid dynamics 331:. It was a simulation of 12 2151:Electric power transmission 1880:Chemical process simulators 1756:University of Chicago Press 1440:John Robert Taylor (1999). 1119:verification and validation 753:Multiscale Green's function 2318: 1709:R. Frigg and S. Hartmann, 827:computer simulation using 799:hydrology transport models 672:a numerical simulation of 625:computer-generated-imagery 300:uncertainty quantification 43: 36: 29: 2236: 2120:Mathematical optimization 2089:Open energy system models 1779:. John Wiley & Sons. 1306:Jet Propulsion Laboratory 551:chemical process modeling 519:discrete event simulation 458:Dynamic system simulation 1773:James J. Nutaro (2011). 1153:scientific visualization 729:gene regulatory networks 704:fall into this category. 510:random number generators 398:. The best-known may be 327:to model the process of 1948:Multiphysics simulation 1923:Cosmological simulation 1862:Nucleic acid simulation 1767:Oxford University Press 1607:Mesly, Olivier (2015). 1080:urban simulation models 1031:Power system simulation 1007:application performance 820:and performance, e.g., 440:Steady-state or dynamic 306:Simulation versus model 1981:Organizational studies 1333:IBM Research - Almaden 1124:stochastic simulations 1060:organizational studies 674:differential equations 665: 578:agent-based simulation 535:differential equations 412:measurement resolution 177: 169: 2277:Computational science 2223:Energy Modeling Forum 1724:Simulation in Science 1651:Wescott, Bob (2013). 1416:A Guide to Simulation 1235:Simulation video game 1225:Simulation hypothesis 897:In practical contexts 660: 553:, and simulations of 337:Monte Carlo algorithm 280:Mycoplasma genitalium 206:computational physics 175: 160: 94:"Computer simulation" 1953:Reservoir simulation 1933:Dynamical simulation 1255:Web-based simulation 1177:sensitivity analysis 1149:training simulations 1065:reservoir simulation 1056:strategic management 925:improve this article 396:simulation languages 296:computer experiments 254:analytical solutions 183:is the running of a 79:improve this article 2302:Computer simulation 2282:Simulation software 2110:Computer simulation 1840:Computer simulation 1492:2014AIChE..60.1253G 1245:Virtual prototyping 1230:Simulation software 1195:Computational model 1086:traffic engineering 1023:forecasting of risk 1018:weather forecasting 784:population dynamics 745:Molecular mechanics 698:continuum mechanics 642:can simulate how a 633:weather forecasting 621:mathematical models 555:electrical circuits 181:Computer simulation 18:Computer Simulation 2228:openmod initiative 2146:Electricity market 1928:Dynamic simulation 1890:Molecular modeling 1595:2011-07-21 at the 1402:. Springer Verlag. 1354:. Los Alamos, NM: 1182:Monte Carlo method 1113:of the simulation 999:to effect roadway 829:molecular modeling 749:Monte Carlo method 741:Molecular dynamics 733:Monte Carlo method 678:physical cosmology 666: 329:nuclear detonation 185:mathematical model 178: 170: 50:Virtual influencer 2264: 2263: 2125:Scenario analysis 1989: 1988: 1971:Social simulation 1885:Quantum chemistry 1786:978-1-118-09945-2 1711:Models in Science 1617:978-3-319-15752-8 1500:10.1002/aic.14409 1453:978-0-935702-75-0 1279:. HarperCollins. 1205:Illustris project 1141:Computer graphics 1099:crop-soil systems 1012:flight simulators 967:dispersion using 957: 956: 949: 881:and Thomas Ray's 809:developed by the 773:thermal pollution 713:probabilistically 702:chemical kinetics 567:digital computers 321:Manhattan Project 283:in 2012; and the 261:computer programs 155: 154: 147: 129: 16:(Redirected from 2309: 2254: 2253: 2246:Economics models 2244: 2243: 2016: 2009: 2002: 1993: 1900:Molecular design 1833: 1826: 1819: 1810: 1790: 1690: 1679: 1673: 1672: 1648: 1642: 1641: 1625: 1619: 1605: 1599: 1586: 1580: 1579: 1569: 1536: 1530: 1529: 1519: 1486:(4): 1253โ€“1268. 1471: 1462: 1461: 1437: 1431: 1430: 1410: 1404: 1403: 1395: 1389: 1388: 1370: 1364: 1363: 1358:. Archived from 1347: 1341: 1340: 1335:. Archived from 1325: 1319: 1318: 1297: 1291: 1290: 1272: 1074:robot simulators 1044:Adaptive Modeler 1001:noise mitigation 952: 945: 941: 938: 932: 909: 901: 876:James Lovelock's 871:Limits to Growth 559:analog computers 348:Data preparation 150: 143: 139: 136: 130: 128: 87: 63: 55: 21: 2317: 2316: 2312: 2311: 2310: 2308: 2307: 2306: 2287:Virtual reality 2267: 2266: 2265: 2260: 2232: 2211: 2175: 2161:Energy planning 2134: 2130:System dynamics 2115:Energy modeling 2093: 2072: 2051: 2025: 2023:Energy modeling 2020: 1990: 1985: 1957: 1904: 1866: 1843: 1837: 1800: 1787: 1772: 1726:. Entry in the 1713:. Entry in the 1699: 1697:Further reading 1694: 1693: 1680: 1676: 1669: 1650: 1649: 1645: 1627: 1626: 1622: 1606: 1602: 1597:Wayback Machine 1587: 1583: 1552:(8): 1582โ€“614. 1538: 1537: 1533: 1473: 1472: 1465: 1454: 1439: 1438: 1434: 1427: 1412: 1411: 1407: 1397: 1396: 1392: 1372: 1371: 1367: 1349: 1348: 1344: 1327: 1326: 1322: 1299: 1298: 1294: 1287: 1274: 1273: 1269: 1264: 1259: 1250:Virtual reality 1240:UniverseMachine 1215:Scene generator 1190: 1173: 1161:buffer overflow 1014:to train pilots 953: 942: 936: 933: 922: 910: 899: 862:Donella Meadows 655: 613: 488:meshfree method 424: 350: 317: 308: 151: 140: 134: 131: 88: 86: 76: 64: 53: 42: 35: 28: 23: 22: 15: 12: 11: 5: 2315: 2313: 2305: 2304: 2299: 2294: 2289: 2284: 2279: 2269: 2268: 2262: 2261: 2259: 2258: 2248: 2237: 2234: 2233: 2231: 2230: 2225: 2219: 2217: 2213: 2212: 2210: 2209: 2204: 2199: 2194: 2189: 2187:Hartmut Bossel 2183: 2181: 2177: 2176: 2174: 2173: 2168: 2163: 2158: 2153: 2148: 2142: 2140: 2136: 2135: 2133: 2132: 2127: 2122: 2117: 2112: 2107: 2101: 2099: 2095: 2094: 2092: 2091: 2086: 2080: 2078: 2074: 2073: 2071: 2070: 2065: 2059: 2057: 2053: 2052: 2050: 2049: 2044: 2039: 2033: 2031: 2027: 2026: 2021: 2019: 2018: 2011: 2004: 1996: 1987: 1986: 1984: 1983: 1978: 1973: 1967: 1965: 1963:Social science 1959: 1958: 1956: 1955: 1950: 1945: 1940: 1935: 1930: 1925: 1920: 1918:Finite element 1914: 1912: 1906: 1905: 1903: 1902: 1897: 1892: 1887: 1882: 1876: 1874: 1868: 1867: 1865: 1864: 1859: 1853: 1851: 1845: 1844: 1838: 1836: 1835: 1828: 1821: 1813: 1807: 1806: 1799: 1798:External links 1796: 1795: 1794: 1791: 1785: 1770: 1761:P. Humphreys, 1759: 1748: 1733: 1720: 1707: 1698: 1695: 1692: 1691: 1674: 1668:978-1482657753 1667: 1643: 1620: 1600: 1581: 1546:Biotechnol Adv 1531: 1463: 1452: 1432: 1425: 1405: 1390: 1365: 1362:on 2007-07-04. 1342: 1339:on 2013-05-22. 1320: 1317:on 2008-01-22. 1292: 1285: 1266: 1265: 1263: 1260: 1258: 1257: 1252: 1247: 1242: 1237: 1232: 1227: 1222: 1217: 1212: 1207: 1202: 1197: 1191: 1189: 1186: 1172: 1169: 1128:computer games 1107: 1106: 1105:, OMS3, APSIM) 1096: 1093: 1083: 1077: 1071: 1068: 1062: 1053: 1050: 1047: 1040: 1033: 1028: 1025: 1020: 1015: 1009: 1003: 997:noise barriers 993: 982: 977:in respect to 975:animal testing 971: 955: 954: 913: 911: 904: 898: 895: 858: 857: 853: 842: 839: 836: 833:drug discovery 825: 814: 795: 776: 769:meteorological 757: 756: 736: 705: 686:climate models 682:fluid dynamics 654: 651: 612: 609: 608: 607: 602:(HLA) and the 581: 574: 523: 514: 500: 492: 491: 484: 469: 468: 461: 455: 452:discrete event 441: 438: 423: 420: 392: 391: 388: 381: 374: 373: 370: 367: 364: 361: 349: 346: 316: 313: 307: 304: 238:social science 153: 152: 67: 65: 58: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 2314: 2303: 2300: 2298: 2295: 2293: 2290: 2288: 2285: 2283: 2280: 2278: 2275: 2274: 2272: 2257: 2256:Energy models 2249: 2247: 2239: 2238: 2235: 2229: 2226: 2224: 2221: 2220: 2218: 2216:Organizations 2214: 2208: 2205: 2203: 2200: 2198: 2197:Mark Jacobson 2195: 2193: 2192:Joe DeCarolis 2190: 2188: 2185: 2184: 2182: 2178: 2172: 2169: 2167: 2166:Energy policy 2164: 2162: 2159: 2157: 2156:Energy market 2154: 2152: 2149: 2147: 2144: 2143: 2141: 2137: 2131: 2128: 2126: 2123: 2121: 2118: 2116: 2113: 2111: 2108: 2106: 2103: 2102: 2100: 2096: 2090: 2087: 2085: 2082: 2081: 2079: 2075: 2069: 2066: 2064: 2061: 2060: 2058: 2054: 2048: 2045: 2043: 2040: 2038: 2035: 2034: 2032: 2028: 2024: 2017: 2012: 2010: 2005: 2003: 1998: 1997: 1994: 1982: 1979: 1977: 1974: 1972: 1969: 1968: 1966: 1964: 1960: 1954: 1951: 1949: 1946: 1944: 1943:EM simulation 1941: 1939: 1936: 1934: 1931: 1929: 1926: 1924: 1921: 1919: 1916: 1915: 1913: 1911: 1907: 1901: 1898: 1896: 1893: 1891: 1888: 1886: 1883: 1881: 1878: 1877: 1875: 1873: 1869: 1863: 1860: 1858: 1855: 1854: 1852: 1850: 1846: 1841: 1834: 1829: 1827: 1822: 1820: 1815: 1814: 1811: 1805: 1802: 1801: 1797: 1792: 1788: 1782: 1778: 1777: 1771: 1768: 1764: 1760: 1757: 1753: 1750:E. Winsberg, 1749: 1747:1996, 77โ€“100. 1746: 1742: 1738: 1735:S. Hartmann, 1734: 1731: 1730: 1725: 1721: 1718: 1717: 1712: 1708: 1705: 1701: 1700: 1696: 1688: 1687:0-13-600848-8 1684: 1678: 1675: 1670: 1664: 1660: 1656: 1655: 1647: 1644: 1639: 1635: 1631: 1624: 1621: 1618: 1614: 1610: 1604: 1601: 1598: 1594: 1591: 1585: 1582: 1577: 1573: 1568: 1563: 1559: 1555: 1551: 1547: 1543: 1535: 1532: 1527: 1523: 1518: 1513: 1509: 1505: 1501: 1497: 1493: 1489: 1485: 1481: 1480:AIChE Journal 1477: 1470: 1468: 1464: 1459: 1455: 1449: 1445: 1444: 1436: 1433: 1428: 1426:9781441987242 1422: 1418: 1417: 1409: 1406: 1401: 1394: 1391: 1386: 1382: 1381: 1380:New Scientist 1376: 1369: 1366: 1361: 1357: 1353: 1346: 1343: 1338: 1334: 1330: 1324: 1321: 1316: 1312: 1308: 1307: 1302: 1296: 1293: 1288: 1286:9780061214950 1282: 1278: 1271: 1268: 1261: 1256: 1253: 1251: 1248: 1246: 1243: 1241: 1238: 1236: 1233: 1231: 1228: 1226: 1223: 1221: 1218: 1216: 1213: 1211: 1208: 1206: 1203: 1201: 1198: 1196: 1193: 1192: 1187: 1185: 1183: 1178: 1170: 1168: 1166: 1162: 1156: 1154: 1150: 1146: 1142: 1138: 1135: 1131: 1129: 1125: 1120: 1116: 1112: 1104: 1100: 1097: 1094: 1091: 1087: 1084: 1081: 1078: 1075: 1072: 1069: 1066: 1063: 1061: 1057: 1054: 1051: 1048: 1045: 1041: 1038: 1034: 1032: 1029: 1026: 1024: 1021: 1019: 1016: 1013: 1010: 1008: 1004: 1002: 998: 994: 991: 987: 983: 980: 979:animal rights 976: 972: 970: 966: 965:air pollutant 962: 961: 960: 951: 948: 940: 930: 926: 920: 919: 914:This section 912: 908: 903: 902: 896: 894: 892: 886: 884: 880: 877: 873: 872: 867: 863: 854: 850: 846: 843: 840: 837: 834: 830: 826: 823: 819: 815: 812: 808: 804: 800: 796: 793: 789: 785: 781: 777: 774: 770: 766: 762: 761: 760: 754: 750: 746: 742: 737: 734: 730: 726: 722: 721:genetic drift 718: 714: 710: 706: 703: 699: 695: 691: 690:roadway noise 687: 683: 679: 675: 671: 670: 669: 664: 659: 652: 650: 647: 645: 641: 636: 634: 630: 626: 622: 618: 611:Visualization 610: 605: 601: 597: 593: 589: 585: 582: 579: 575: 572: 568: 564: 560: 556: 552: 548: 544: 540: 536: 532: 528: 524: 521: 520: 515: 512: 511: 506: 505: 501: 498: 497: 496: 489: 485: 482: 478: 477:stencil codes 474: 473: 472: 466: 462: 459: 456: 454:or DE models) 453: 449: 445: 442: 439: 436: 435:deterministic 432: 429: 428: 427: 421: 419: 417: 413: 410:(compared to 409: 403: 401: 397: 389: 386: 382: 379: 378: 377: 371: 368: 365: 362: 359: 358: 357: 354: 347: 345: 342: 338: 334: 330: 326: 322: 314: 312: 305: 303: 301: 297: 292: 290: 286: 282: 281: 276: 271: 267: 262: 257: 255: 251: 247: 243: 239: 235: 231: 227: 226:manufacturing 223: 219: 215: 211: 207: 203: 199: 194: 190: 186: 182: 174: 168: 164: 163:Typhoon Mawar 159: 149: 146: 138: 135:December 2022 127: 124: 120: 117: 113: 110: 106: 103: 99: 96: โ€“  95: 91: 90:Find sources: 84: 80: 74: 73: 68:This article 66: 62: 57: 56: 51: 47: 40: 33: 19: 2202:John Laitner 2139:Applications 2109: 1839: 1775: 1762: 1751: 1740: 1727: 1722:E. Winsberg 1714: 1677: 1653: 1646: 1637: 1633: 1623: 1608: 1603: 1584: 1549: 1545: 1534: 1483: 1479: 1442: 1435: 1415: 1408: 1399: 1393: 1378: 1368: 1360:the original 1345: 1337:the original 1332: 1323: 1315:the original 1304: 1295: 1276: 1270: 1200:Digital twin 1174: 1157: 1139: 1132: 1117:, therefore 1108: 1005:modeling of 963:analysis of 958: 943: 934: 923:Please help 918:verification 915: 887: 869: 868:used in the 859: 849:water hammer 807:DSSAM Models 801:such as the 775:forecasting. 758: 716: 667: 648: 637: 614: 526: 517: 508: 502: 493: 470: 425: 404: 393: 385:preprocessor 375: 355: 351: 333:hard spheres 325:World War II 318: 309: 293: 278: 258: 210:astrophysics 180: 179: 141: 132: 122: 115: 108: 101: 89: 77:Please help 72:verification 69: 46:Digital twin 2207:John Weyant 1754:. Chicago: 1659:CreateSpace 891:replication 765:temperature 725:biochemical 629:coordinates 598:(DIS), the 584:Distributed 507:models use 465:distributed 287:project at 246:engineering 242:health care 214:climatology 198:simulations 39:3D modeling 2271:Categories 1765:. Oxford: 1262:References 1220:Simulation 1145:Animations 995:design of 879:Daisyworld 709:stochastic 653:In science 617:parameters 504:Stochastic 444:Continuous 431:Stochastic 285:Blue Brain 250:technology 234:psychology 165:using the 105:newspapers 2056:Open data 1976:Sociology 1872:Chemistry 1508:0001-1541 1037:emulation 990:logistics 988:and also 937:June 2022 852:building. 640:CAT scans 463:Local or 416:precision 230:economics 218:chemistry 2098:Concepts 1842:software 1593:Archived 1576:26281720 1526:27429455 1458:Archived 1385:Archived 1188:See also 1171:Pitfalls 1111:validity 992:systems. 986:aircraft 717:discrete 692:models, 594:(ALSP), 588:Internet 543:ordinary 537:(either 448:discrete 408:accuracy 335:using a 275:ribosome 189:computer 32:emulator 1910:Physics 1849:Biology 1769:, 2004. 1758:, 2010. 1640:(4): 2. 1567:4748402 1517:4946376 1488:Bibcode 1311:Caltech 1159:detect 1134:Vehicle 856:theory. 780:ecology 684:(e.g., 663:osmosis 606:(TENA). 571:emulate 563:op-amps 539:partial 479:. Many 315:History 222:biology 202:physics 119:scholar 2180:People 2068:Reegle 2063:OpenEI 2037:MARKAL 2030:Models 1783:  1745:Kluwer 1685:  1665:  1615:  1574:  1564:  1524:  1514:  1506:  1450:  1423:  1283:  1167:data. 1165:tuning 883:Tierra 866:World3 788:salmon 751:, and 490:class. 400:Simula 266:Kuwait 191:, the 121:  114:  107:  100:  92:  2077:Lists 2047:POLES 1115:model 1103:BioMA 822:ACT-R 792:trout 644:tumor 569:that 422:Types 193:model 187:on a 126:JSTOR 112:books 2042:NEMS 1781:ISBN 1683:ISBN 1663:ISBN 1613:ISBN 1572:PMID 1522:PMID 1504:ISSN 1448:ISBN 1421:ISBN 1281:ISBN 1058:and 831:for 805:and 803:SWMM 790:and 700:and 414:and 289:EPFL 244:and 224:and 98:news 1562:PMC 1554:doi 1512:PMC 1496:doi 927:by 786:of 727:or 696:), 541:or 533:or 481:CFD 446:or 433:or 323:in 270:DoD 208:), 81:by 2273:: 1661:. 1657:. 1638:10 1636:. 1632:. 1570:. 1560:. 1550:33 1548:. 1544:. 1520:. 1510:. 1502:. 1494:. 1484:60 1482:. 1478:. 1466:^ 1456:. 1383:. 1377:. 1331:. 1309:. 1303:. 1155:. 885:. 874:, 864:' 747:, 743:, 735:). 723:, 707:a 688:, 680:, 549:, 525:A 516:A 302:. 256:. 240:, 236:, 232:, 220:, 216:, 212:, 2015:e 2008:t 2001:v 1832:e 1825:t 1818:v 1789:. 1732:. 1719:. 1689:. 1671:. 1578:. 1556:: 1528:. 1498:: 1490:: 1429:. 1289:. 1092:. 1046:) 1039:. 981:. 950:) 944:( 939:) 935:( 921:. 835:. 824:. 755:. 467:. 387:; 204:( 148:) 142:( 137:) 133:( 123:ยท 116:ยท 109:ยท 102:ยท 75:. 52:. 41:. 34:. 20:)

Index

Computer Simulation
emulator
3D modeling
Digital twin
Virtual influencer

verification
improve this article
adding citations to reliable sources
"Computer simulation"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message

Typhoon Mawar
Weather Research and Forecasting model

mathematical model
computer
model
simulations
physics
computational physics
astrophysics
climatology
chemistry
biology

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.

โ†‘