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In the process of pseudo-inverse, the input values are referred to as pi, whereas the corresponding output values are designated.
Both the input and output values are expressed as row vectors.
By utilizing a methodology similar to that employed in neural networks, we determine the quantity of chosen requests from the complete set of user requests for different services during a given time period.
This selection procedure assists in determining the ideal number of requests to be accommodated within a specific timeframe.
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