Simulation and Modeling in Python 3

Installations

• Python 3 can be downloaded from here. Make sure to check Add Python 3.x to PATH during installation.
• NumPy, SciPy, and matplotlib etc libraries can be downloaded and installed using the commands:

pip install numpy
pip install scipy
pip install matplotlib
pip install library-name

or if you have multiple python version installed use this

py -3.9 -m pip install numpy
py -3.11 -m pip install numpy
.....

Code for Academic Course CIT-324 (Simulation and Modeling Sessional)

Chapter 2 ----------------------------

2.1 Area of Irreglar Figure using Monte Carlo Method

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2.2 Gambling Game using Monte Carlo Method

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2.3 Numerical Integration using Monte Carlo Method

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2.4 Determining Value of PI (π) using Monte Carlo Method

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2.5 Random Walk Problem using Monte Carlo Method

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2.6 Reliability Problem (Bearing OLD & NEW Policy) using Monte Carlo Method

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Normally Distributed Random Numbers .

Use this numpy.random.randn() or this numpy.random.normal() for Normally distributed random number

2.7 Simulation of Bombing Problem using Monte Carlo Method

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2.8 Hinge Assembly using Stochastic Model

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2.9 Four Tubes Problem using Stochastic Model

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(Exercise 5) Random Walk with Probability using Monte Carlo Method

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(Exercise 9) Uniform Distribution Random Variable

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Chapter 3 ----------------------------

3.2 Pure Pursuit Problem (Fighter Attacking Bomber)

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3.3 Simulation of a Chemical Reaction

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3.6 A Serial Chase Problem

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3.7 Simulation of Exterior Ballistics

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(Exercise 2) Bullet Trajectory

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(Exercise 4) Cannon Fires Ball

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(Exercise 10) Serial Chase Exercise

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Chapter 4 ----------------------------

4.5 Mid Square Random Number Generator

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4.6 Congruence or Residue Random Number Generator

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4.7 Arithmetic Congruential Random Number Generator

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4.11 Kolmogorov - Smirnov Test

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4.12 Chi Squared Test

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4.13 Testing for Autocorrelation

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4.14 Poker Test

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Chapter 11 ----------------------------

11.2 Simulation of a Counter Service

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11.3 Simulation of a Maintanence Replacement Problem

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11.4 Simulation of a Capacity Planning Problem

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11.5 Simulation of a Profit Analysis Problem

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11.6 Simulation of a Inventory Problem

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Masud Sir Part

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Lab - 1 == Single Server Queue System Example

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Lab - 2 == Poisson Distribution Example

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Lab - 3 == Unimodal Multimodal Density Curves Normal Distribution Example

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Lab - 4 == Exponential Distribution

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Lab - 5 == Inverse Exponential Distribution Example (Random variates)

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