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2. Monte Carlo method - Wikipedia

   en.wikipedia.org/wiki/Monte_Carlo_method

   Monte Carlo method: Pouring out a box of coins on a table, and then computing the ratio of coins that land heads versus tails is a Monte Carlo method of determining the behavior of repeated coin tosses, but it is not a simulation. Monte Carlo simulation: Drawing a large number of pseudo-random uniform variables from the interval [0,1] at one ...

3. Monte Carlo methods in finance - Wikipedia

   en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance

   Pricing using Monte Carlo simulation, a practical example, Prof. Giancarlo Vercellino; Personal finance. A Better Way to Size Up Your Nest Egg, Businessweek Online: January 22, 2001; Online Monte Carlo retirement planner with source code, Jim Richmond, 2006; Free spreadsheet-based retirement calculator and Monte Carlo simulator, by Eric C., 2008

4. Monte Carlo methods for option pricing - Wikipedia

   en.wikipedia.org/wiki/Monte_Carlo_methods_for...

   In mathematical finance, a Monte Carlo option model uses Monte Carlo methods [Notes 1] to calculate the value of an option with multiple sources of uncertainty or with complicated features. [1] The first application to option pricing was by Phelim Boyle in 1977 (for European options ).

5. Monte Carlo tree search - Wikipedia

   en.wikipedia.org/wiki/Monte_Carlo_tree_search

   In computer science, Monte Carlo tree search ( MCTS) is a heuristic search algorithm for some kinds of decision processes, most notably those employed in software that plays board games. In that context MCTS is used to solve the game tree . MCTS was combined with neural networks in 2016 [1] and has been used in multiple board games like Chess ...

6. Variance reduction - Wikipedia

   en.wikipedia.org/wiki/Variance_reduction

   In mathematics, more specifically in the theory of Monte Carlo methods, variance reduction is a procedure used to increase the precision of the estimates obtained for a given simulation or computational effort. [1] Every output random variable from the simulation is associated with a variance which limits the precision of the simulation results ...

7. Kinetic Monte Carlo - Wikipedia

   en.wikipedia.org/wiki/Kinetic_Monte_Carlo

   The kinetic Monte Carlo (KMC) method is a Monte Carlo method computer simulation intended to simulate the time evolution of some processes occurring in nature. Typically these are processes that occur with known transition rates among states. It is important to understand that these rates are inputs to the KMC algorithm, the method itself ...

8. EGS (program) - Wikipedia

   en.wikipedia.org/wiki/EGS_(program)

   EGS (program) The EGS ( Electron Gamma Shower) computer code system is a general purpose package for the Monte Carlo simulation of the coupled transport of electrons and photons in an arbitrary geometry for particles with energies from a few keV up to several hundreds of GeV. [1] It originated at SLAC but National Research Council of Canada and ...

9. MCSim - Wikipedia

   en.wikipedia.org/wiki/MCSim

   GNU MCSim is a simulation and statistical inference tool for algebraic or differential equation systems, optimized for performing Monte Carlo analysis. The software comprises a model generator and a simulation engine: The model generator facilitates structural model definition and maintenance, while keeping execution time short.