## Calculating Value of Pi using Monte Carlo Technique – C PROGRAM

Recently in my Numerical Techniques class I learnt a Monte Carlo technique to calculate the value of Pi . The procedure is really…

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# Category: Random Numbers

## Calculating Value of Pi using Monte Carlo Technique – C PROGRAM

## Central Limit Theorem Demonstration – C PROGRAM

## Acceptance-Rejection Method (Rejection Sampling) for generating distributions- C PROGRAM

## Simulate a DICE THROW – C PROGRAM

## Generate a RANDOM NO. in a given RANGE – C PROGRAM

## Random Walk (1d) – C PROGRAM

## Coin Toss – C PROGRAM

## Random Number b/w 0 and 1 – C PROGRAM

## Post-processing and Statistical Checks for Random Numbers – C PROGRAM

## Random Number Generator – C PROGRAM

Recently in my Numerical Techniques class I learnt a Monte Carlo technique to calculate the value of Pi . The procedure is really…

Read MoreOne of the fundamental theorems of probability is the Central Limit Theorem. This theorem says that if Sn is the sum of n…

Read MoreAcceptance-Rejection method can be used to produce random numbers following a certain probability density function. This is done by generating random numbers following…

Read MoreIn the last post I wrote about how to generate random numbers in a given range: [min, max]. In this post we will…

Read MoreIn the last few posts I have written about generating random numbers and using them to simulate a coin flip or a 1-d…

Read MoreIn the last post I wrote about how to simulate a coin toss/flip using random numbers generated within the range: . We can…

Read MoreIn the last few posts I have been talking a lot about generating random numbers using C programming. We performed some basic checks…

Read MoreIn the last few posts I have been talking about random number generation using simple algorithms, and then testing if the numbers are…

Read MoreIn the last post I wrote about random numbers and how to generate them. Now even though, the random number sequence generated from…

Read MoreWikipedia defines random numbers as a sequence of numbers or symbols that cannot be reasonably predicted better than by a random chance In…

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