References
- Alet, F., and E. S. Sørensen. 2003. “Cluster Monte Carlo Algorithm for the Quantum Rotor Model.” Physical Review E 67: 015701. doi: 10.1103/PhysRevE.67.015701
- Beisbart, C., and J. D. Norton. 2012. “Why Monte Carlo Simulations Are Inferences and Not Experiments.” International Studies in the Philosophy of Science 26: 403–422. doi: 10.1080/02698595.2012.748497
- Bietenholz, W., R. Brower, S. Chandrasekharan, and U.-J. Wiese. 1997. “Perfect Lattice Topology: The Quantum Rotor as a Test Case.” Physics Letters B 407: 283–289. doi: 10.1016/S0370-2693(97)00742-9
- Boyer, T., W. Bietenholz, and J. Wuilloud. 2007. “Spin Chain Simulations with a Meron Cluster Algorithm.” International Journal of Modern Physics C 18: 1497–1511. doi: 10.1142/S0129183107011510
- Galison, P. 1997. Image and Logic: A Material Culture of Microphysics. Chicago, IL: University of Chicago Press.
- Gupta, R. 1998. “Introduction to Lattice QCD.” arXiv:hep-lat/9807028.
- Gupta, R. 1999. “General Physics Motivations for Numerical Simulations of Quantum Field Theory.” Parallel Computing 25: 1199–1215. doi: 10.1016/S0167-8191(99)00046-0
- Hartmann, S. 1996. “The World as a Process: Simulations in the Natural and Social Sciences.” In Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View, edited by R. Hegselmann, U. Mueller, and K. G. Troitzsch, 77–100. Dordrecht: Kluwer.
- Hesse, M. B. 1963. Models and Analogies in Science. London: Sheed and Ward.
- Hughes, R. I. G. 1997. “Models and Representation.” Philosophy of Science 64 (Proceedings): S325–S336. doi: 10.1086/392611
- Hughes, R. I. G. 1999. “The Ising Model, Computer Simulation, and Universal Physics.” In Models as Mediators: Perspectives on Natural and Social Science, edited by M. S. Morgan and M. Morrison, 97–145. Cambridge: Cambridge University Press.
- Humphreys, P. 1994. “Numerical Experimentation.” In Patrick Suppes: Scientific Philosopher, edited by P. Humphreys, vol. 2, 103–118. Dordrecht: Kluwer.
- Humphreys, P. 2004. Extending Ourselves. New York: Oxford University Press.
- Kleinert, H. 2007. Path Integrals in Quantum Mechanics, Statistics, Polymer Physics, and Financial Markets. 4th ed. Singapore: World Scientific.
- Lenhard, J. 2007. “Computer Simulation: The Cooperation Between Experimenting and Modeling.” Philosophy of Science 74: 176–194. doi: 10.1086/519029
- Metropolis, N., A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller. 1953. “Equation of State Calculations by Fast Computing Machines.” Journal of Chemical Physics 21: 1087–1092. doi: 10.1063/1.1699114
- Metropolis, N., and S. Ulam. 1949. ‘The Monte Carlo Method.” Journal of the American Statistical Association 44: 335–341.
- Montvay, I., and G. Münster. 1994. Quantum Fields on a Lattice. Cambridge: Cambridge University Press.
- Norton, S., and F. Suppe. 2001. “Why Atmospheric Modeling Is Good Science.” In Changing the Atmosphere, edited by P. Edwards and C. Miller, 67–105. Cambridge, MA: MIT Press.
- Reed, M., and B. Simon. 1975. Methods of Modern Mathematical Physics II. San Diego, CA: Academic Press.
- Regt, H. W. de, and D. Dieks. 2005. “A Contextual Approach to Scientific Understanding.” Synthese 144: 137–170. doi: 10.1007/s11229-005-5000-4
- Rothe, H. J. 2005. Lattice Gauge Theories. 3rd ed. Singapore: World Scientific.
- Schulman, L. S. 1981. Techniques and Applications of Path Integration. New York: John Wiley.
- Winsberg, E. 1999. “Sanctioning Models: The Epistemology of Simulation.” Science in Context 12: 275–292. doi: 10.1017/S0269889700003422
- Zinn-Justin, J. 2003. Intégrale de chemin en mécanique quantique. Paris: CNRS éditions.
![Supercharge Your Next Research Paper: Research and write your next paper with Jenni AI.]({"type":"image" , "src" : "/sda/112447/MPU-L1HU.png"})