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Search algorithms can be divided into a systematic type as the linear search algorithm is, and non-systematic type as the Nelder-Mead simplex [23] or the stochastic gradient descent [18] are.
We were looking at search algorithms – simple ones like linear search and binary search, O(n) vs O log n) – and someone asked me "how often do you think about these things when you are programming?".
Linear search optimization algorithm is employed.
A systematic optimization algorithm has been used, the linear search.
At the leaf nodes a linear search takes place if there is more than one match.
Figure 6 Comparison of accuracy and speed of music identification using LSH and linear search.
For the functional minimization we use the quasi-Newton method of linear search.
The constrained optimization maximizes the damping loss factor using the linear search algorithm.
The optimal solution to ({{P_{m}^{n}}}) can be obtained through one dimensional linear search method [28, 29].
To find the nearest neighbor in such a large database using linear search is, in many cases, unacceptable.
The linear search needed 19.6 s to iteratively compensate the artificially introduced distortion by the deformable mirror.
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