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| \title{Total Setups Count} |
| \author{algorembrant} |
| \date{\today} |
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| \begin{document} |
| \maketitle |
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| Formula: |
| \[ |
| \mathcal{S} = \prod_{n=1}^{T} I_{p_n}, \quad S = \{p_1,p_2,\ldots,p_n\} |
| \] |
| where: |
| \begin{align*} |
| \mathcal{S} &= \text{the total number of setups in regards to changing its parameter's inputs}\\ |
| S &= \text{ is a set of all parameters} \\ |
| I_{p_n} &= \text{the number of possible input values for parameter } p_n, \\ |
| p_n &= \text{the } n\text{-th parameter}, \\ |
| T &= \text{the total number of parameters}. |
| \end{align*} |
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| Given the following parameters: |
| \begin{verbatim} |
| # parameter_n = allPossibleInputs |
| |
| parameter_1 = 1440 # first parameter and its input |
| parameter_2 = 60 # second parameter and its input |
| parameter_3 = 1440 # third parameter and its input |
| parameter_4 = 1440 # forth parameter and its input |
| parameter_5 = 60 # fith parameter and its input |
| parameter_6 = 20 # sixth parameter and its input |
| \end{verbatim} |
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| We have \( T = 6 \). The total number of setups \( S \) is the product of all possible input values: |
| \begin{align*} |
| S &= I_{p_1} \times I_{p_2} \times I_{p_3} \times I_{p_4} \times I_{p_5} \times I_{p_6} \\ |
| &= 1440 \times 60 \times 1440 \times 1440 \times 60 \times 20 \\ |
| &= 1440^3 \times 60^2 \times 20 \\ |
| &= 214,990,848,000,000 \\ |
| &\approx 2.1499E+14 |
| \end{align*} |
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| \end{document} |
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