Abstract
The purpose of this note is to illustrate the feasibility of simulating kinetic systems, such as commonly encountered in photosynthesis research, using the Monte Carlo (MC) method. In this approach, chemical events are considered at the molecular level where they occur randomly and the macroscopic kinetic evolution results from averaging a large number of such events. Their repeated simulation is easily accomplished using digital computing. It is shown that the MC approach is well suited to the capabilities and resources of modern microcomputers. A software package is briefly described and discussed, allowing a simple programming of any kinetic model system and its resolution. The execution is reasonably fast and accurate; it is not subject to such instabilities as found with the conventional analytical approach.
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Abbreviations
- MC:
-
Monte Carlo
- RN:
-
random number
- PSU:
-
photosynthetic unit
References
Feller W (1957) An Introduction to probability theory and its applications, Vol 1, pp 142–154. New York: John Wiley
Knuth DE (1969) The art of computer programming, Vol 2: Seminumerical Algorithms, pp 1–160. London: Addison-Wesley
Lavorel J (1973) Physiol Végét 11:681–720
Pennington RH (1970) Introductory computer methods and numerical analysis, pp 471–491. London: MacMillan
Sebban P and Barbet JC (1985) Photobiochem Photobiophys 9:167–176
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Dedicated to Prof. L.N.M. Duysens on the occasion of his retirement.
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Lavorel, I. A Monte Carlo method for the simulation of kinetie models. Photosynth Res 9, 273–283 (1986). https://doi.org/10.1007/BF00029750
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DOI: https://doi.org/10.1007/BF00029750