Results 161 to 170 of about 975,102 (190)
Detailed Analysis of Gamma-Shielding Characteristics of Ternary Composites Using Experimental, Theoretical and Monte Carlo Simulation Methods. [PDF]
Polymers (Basel)Özdoğan H +4 more
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Cost-effectiveness Analysis of Colorectal Cancer Screening Strategies Using Active Learning and Monte Carlo Simulation. [PDF]
Med Decis MakingFouladi A, Asadi A, Sherer EA, Madadi M.
europepmc +1 more source
Determination of heavy metals, nitrate and nitrite in mineral and drinking bottled water in Tehran, Iran: A health risk assessment by Monte-Carlo simulation method. [PDF]
HeliyonAslani R +6 more
europepmc +1 more source
Occurrence, distribution and risk assessment of phthalate esters in dust deposited in the outdoor environment of Yazd industrial park using Monte Carlo simulation. [PDF]
HeliyonEhrampush MH +5 more
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2006
In the general overview on materials and their characteristics, outlined in Sect. 1.3, it has been stated that materials and their characteristics result from the processing of matter. Thus, condensed matter physics is one of the fundamentals for the understanding of materials.
James P. Gleeson, Kevin Cronin
openaire +4 more sources
In the general overview on materials and their characteristics, outlined in Sect. 1.3, it has been stated that materials and their characteristics result from the processing of matter. Thus, condensed matter physics is one of the fundamentals for the understanding of materials.
James P. Gleeson, Kevin Cronin
openaire +4 more sources
2008
A description of Monte Carlo methods for simulation of proteins is given. Advantages and disadvantages of the Monte Carlo approach are presented. The theoretical basis for calculating equilibrium properties of biological molecules by the Monte Carlo method is presented.
David J. Earl, Michael W. Deem
openaire +2 more sources
A description of Monte Carlo methods for simulation of proteins is given. Advantages and disadvantages of the Monte Carlo approach are presented. The theoretical basis for calculating equilibrium properties of biological molecules by the Monte Carlo method is presented.
David J. Earl, Michael W. Deem
openaire +2 more sources
2021
Monte Carlo simulation is an alternative approach when analytical calculations are not tractable. Based on the generation of random numbers and on statistics, it requires the simulation of many histories to assess low probabilities with sufficient accuracy.
Jean-Pierre Signoret, Alain Leroy
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Monte Carlo simulation is an alternative approach when analytical calculations are not tractable. Based on the generation of random numbers and on statistics, it requires the simulation of many histories to assess low probabilities with sufficient accuracy.
Jean-Pierre Signoret, Alain Leroy
openaire +2 more sources
Stata Technical Bulletin, 1992 As briefly stated in Chapter 1, the reliability indices of a system can be evaluated using one of two basic approaches, direct analytical techniques or stochastic simulation. Most chapters of this book are concerned with the analytical approach, but it is important to note that simulation is a very valuable method which is widely used in the solution ...
Roy Billinton, Ronald N. Allan
openaire +3 more sources
2013
The purpose of this chapter is to provide a practical guide to conduct Monte Carlo simulation as an important numerical technique to solve various problems encountered in hydrosystem engineering. As this method uses repeated random sampling to find approximate solutions by generating sequences of random numbers, the basic theory behind random numbers ...
Mina Ziaei +2 more
openaire +4 more sources
The purpose of this chapter is to provide a practical guide to conduct Monte Carlo simulation as an important numerical technique to solve various problems encountered in hydrosystem engineering. As this method uses repeated random sampling to find approximate solutions by generating sequences of random numbers, the basic theory behind random numbers ...
Mina Ziaei +2 more
openaire +4 more sources