About
Monte-carlo modelling is a computational methodology that employs repeated random sampling to obtain numerical results for complex systems or phenomena. It is utilized to simulate probabilistic processes and estimate outcomes that are intractable through deterministic analytical methods, providing approximate solutions and insights across various scientific and engineering disciplines.
Top Authors
Rankings shown are based on concept H-Index.
AB University of Antwerp |
KM The University of Osaka |
RG North Carolina State University |
RG University of Antwerp |
ZD University of Science and Technology of China |
Top Institutions
Rankings shown are based on concept H-Index.
 Paris, France |
 Los Alamos, United States |
 Berkeley, United States |
 Oak Ridge, United States |
