Monte Carlo method popularized by some researchers that: Stanislaw Ulam, Enrico Fermi, dcm shriram

Monte Carlo method popularized by some researchers that: Stanislaw Ulam, Enrico Fermi, dcm shriram industries and John von Neumann, Nicholas Metropolis. In 1946, Stanislaw Ulam discovered the Monte Carlo method when observing the chances of winning the card game solitaire. The name itself comes from the Monte Carlo casino in Monaco (Matthew NOSadiku, 2009, page 3).
Monte Carlo simulation is the process of lowering the value randomly dcm shriram industries uncertain variables repeatedly to simulate a model. Monte Carlo method is a stochastic and probabilistic techniques that can be applied in various fields, ranging from economics to physics, of course, different ways of application of the field to another. Things evened it all is that the Monte Carlo experiments generate random numbers to examine and resolve problems (Jonathan Pengelly, 2003, p 1).
Monte Carlo method is regarded as the invention of Stanislaw Ulam, a brilliant mathematician who worked for John Von Neumann in the United State's Manhattan Project during World War II. Ulam was the first person known to design hydrogen bomb with Edward Teller in 1951. He found a method of Monte Carl o 1946 while thinking about the chances of winning a solitary card game (Matthew NOSadiku, 2009, page 2).
The basic concept of the Monte Carlo method is to solve the problems at random (random walk), based on the approach of a random process step Monte Carlo methods are two types of approaches are quite popular, the types of fixed and floating random walk random walk (Matthew N sadiku, 2009, it 105).
Is floating random dcm shriram industries walk type models that allow the number of Monte Carlo repetitions dcm shriram industries (iterations) are always changing in the simulation, while the fixed type of random walk is modeled using a Monte Carlo that the number of repetitions (iterations) is constant so that for some applications this method is better than the floating type random walk (Matthew N sadiku, 2009, page 105).
The advantage of the Monte Carlo method is the ease of making the simulation program, while the drawback is the time required dcm shriram industries in the simulation, the more repetition takes a long time for running the program.
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