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Short random walks present an interesting, yet not that popular alternative to these global measures, especially provided that they can give us interesting information about the neighbourhood structure of the network and are computable locally, which reduces time complexity of such operations.
This pre-computation process takes O(n m) memory and O(n m) floating-point operations, but reduces time complexity of calculating f(x) down to O(n m) when expanding a new node.
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Whereas, non-vascular based method intends to analyze non-vessel properties of retinal images in order to reduce time complexity.
Clustering reduces the search space of components by grouping similar entities together thus ensuring reduced time complexity as it reduces the search time for component retrieval.
They can reduce time complexity.
It is also shown experimentally that MapReduce framework provides better scalability and reduced time complexity while considering large number of text documents for summarization.
A heuristic Internet data budget management algorithm (H-IDM) is also presented, which is designed to reduce time complexity and computational overhead of the O-IDM system.
We then develop a heuristic IDM algorithm (H-IDM) designed to reduce time complexity and computational overhead while maintaining efficient data budget utilization.
This would further reduce time complexity.
The standard techniques of efficient programming, such as reducing time complexity, are honored wherever possible.
Typical pattern-driven algorithms use various means to reduce time complexity [ 4– 10].
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