F(n)= ⌊ ϕ / sqrt(5)^n + 0.5⌋ --> outputs an approximation of a fibonacci number at index N F(n) = F(n - 1) - F(n - 2) --> outputs a fibonacci number at index I used a similar formula for a leetcode ...
The partially linear multiplicative regression model is considered. This model, which becomes a partially linear regression model after taking logarithmic transformation, is useful in analyzing data ...
The numerical difference between a forecasted quantity and the actual result is known as absolute error. If you predict that you'll run a mile in eight minutes and ...
Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of models is too restrictive on the regression relation, which may lead to a ...
Abstract: Conventional precise adders need long delay and large power consumption to obtain accurate results. However, in recognition of the error tolerance of some ...