Literature DB >> 11946359

Computer simulation of stochastic processes through model-sampling (Monte Carlo) techniques.

C W. Sheppard1.   

Abstract

A simple Monte Carlo simulation program is outlined which can be used for the investigation of random-walk problems, for example in diffusion, or the movement of tracers in the blood circulation. The results given by the simulation are compared with those predicted by well-established theory, and it is shown how the model can be expanded to deal with drift, and with reflexion from or adsorption at a boundary.

Year:  1969        PMID: 11946359     DOI: 10.1016/0014-5793(69)80071-2

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  3 in total

1.  Optimal dosage of cefmetazole for intraoperative antimicrobial prophylaxis in patients undergoing surgery for colorectal cancer.

Authors:  Atsushi Tomizawa; Takatoshi Nakamura; Toshiaki Komatsu; Hiroshi Inano; Rumiko Kondo; Masahiko Watanabe; Koichiro Atsuda
Journal:  J Pharm Health Care Sci       Date:  2017-01-07

2.  Novel analytical methods to interpret large sequencing data from small sample sizes.

Authors:  Florence Lichou; Sébastien Orazio; Stéphanie Dulucq; Gabriel Etienne; Michel Longy; Christophe Hubert; Alexis Groppi; Alain Monnereau; François-Xavier Mahon; Béatrice Turcq
Journal:  Hum Genomics       Date:  2019-08-30       Impact factor: 4.639

3.  Cost-Effectiveness Analysis of Local Treatment in Oligometastatic Disease.

Authors:  Dirk Mehrens; Marcus Unterrainer; Stefanie Corradini; Maximilian Niyazi; Farkhad Manapov; C Benedikt Westphalen; Matthias F Froelich; Moritz Wildgruber; Max Seidensticker; Jens Ricke; Johannes Rübenthaler; Wolfgang G Kunz
Journal:  Front Oncol       Date:  2021-06-15       Impact factor: 6.244

  3 in total

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