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Numerical C: Applied Computational Programming with Case Studies by Philip Joyce

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© Philip Joyce 2019
P. JoyceNumerical Chttps://doi.org/10.1007/978-1-4842-5064-8_7

7. Monte Carlo Methods

Philip Joyce1 
(1)
Goostrey, UK
 

This chapter shows some of the uses of the Monte Carlo technique in mathematics, physics, and medicine. The radioactive decay simulation produces an output which matches the results from physics experiments on radioactive elements. The “Buffon’s Needle” section recreates an eighteenth-century experiment to find pi. The random walk technique has applications in many walks of life particularly in physics, chemistry, and medicine.

Radioactive Decay Simulation

Some elements exhibit radioactive decay. This is where the nucleus of the element breaks up. There is a probability associated with this break up. This varies ...

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