Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The C source code associated with the Simulation 101 pre-conference workshop (offered at the 2006 and 2007 Winter Simulation Conferences) is presented here.  begins with general instructions for downloading, compiling, and executing the software. This is follod by sections on four groups of the software, categorized by functionality: libraries, Monte Carlo simulations, discrete-event simulations, and utilities. The libraries contain code to generate random numbers, code to generate random variates, and code to evaluate probability density functions, cumulative distribution functions, and inverse distribution functions. The Monte Carlo simulations consist of six programs that estimate various probabilities associated with simple probability problems, some with known analytic solutions and others without analytic solutions. The discrete-event simulations consist of various applications from queueing and inventory systems. Finally, the utilities are used to calculate various point and interval estimators from data sets.
['Barry Lawson', 'Lawrence M. Leemis']
I am writing a research paper on a idea Simulation 101 software: workshop and beyond
[{"from": "human", "value": "I am writing a research paper on a idea Simulation 101 software: workshop and beyond"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The C source code associated with the Simulation 101 pre-conference workshop (offered at the 2006 and 2007 Winter Simulation Conferences) is presented here.  begins with general instructions for downloading, compiling, and executing the software. This is follod by sections on four groups of the software, categorized by functionality: libraries, Monte Carlo simulations, discrete-event simulations, and utilities. The libraries contain code to generate random numbers, code to generate random variates, and code to evaluate probability density functions, cumulative distribution functions, and inverse distribution functions. The Monte Carlo simulations consist of six programs that estimate various probabilities associated with simple probability problems, some with known analytic solutions and others without analytic solutions. The discrete-event simulations consist of various applications from queueing and inventory systems. Finally, the utilities are used to calculate various point and interval estimators from data sets."}]