For example, if we say that an algorithm has a time complexity of O(n), it means that the algorithm’s execution time increases linearly with the size of the input. If the input size doubles, the time it takes to run the algorithm will roughly double as well. If an algorithm is O(...
(ISAAC 2014), reconsidered classical fundamental graph algorithms focusing on improving the space complexity. We continue this line of work focusing on space. Our first result is a simple data structure that can maintain any subset $S$ of a universe of $n$ elements using $n+o(n)$ bits ...
I suspect the running time is determined by the lesser of the number of vertices on the left and the number of vertices on the right. Am I wrong? I couldn't prove or disprove myself.algorithm complexity +4 ikk 13 years ago 9 Comments...
Although embedding models and symbolic models are conceptually different, in regard to disk space complexity, it is possible to use the sizes of the learned rule set and embeddings for an approximate disk space usage compar- ison of model sizes. We estimate model sizes for the latent models in...
therimprovethethroughputofRFIDsystem,thispaperproposesanewanticollisionalgorithmwithadjustinginventorycyclebythe presetdifferencethreshold,theslotcheckingforward,theslotpredictingbackwardandtheslotbinarysplitting,whicharecoordinate lycombinedtodealwiththeresponseofthecurrentslotandthenextslotwhenalgorithmcomplexityandhardwareare...
However, this adds to the complexity of the algo- rithm. For example, if two surviving paths are stored at each time instance, then the complexity is twice as much as that of the Viterbi algorithm. Therefore, we propose low complex- ity approaches such as M- and T-algorithms, or tree ...
(ISAAC 2014), reconsidered classical fundamental graph algorithms focusing on improving the space complexity. Elmasry et al. gave, among others, implementations of breadth first search (BFS) and depth first search (DFS) in a graph on n vertices and m edges, taking O(m + n) time using O(...
However, this adds to the complexity of the algo- rithm. For example, if two surviving paths are stored at each time instance, then the complexity is twice as much as that of the Viterbi algorithm. Therefore, we propose low complex- ity approaches such as M- and T-algorithms, or tree ...
[4]. With this st-embedding, a level embedding is constructed by an ordered depth first search (DFS). See [18,17,15,16,12,13,1] for details. Theorem 1 (Leipert et al. [18,17,15,16]). There is an O(|V |) time algo- rithm for testing level planarity and computing a level...
However, this adds to the complexity of the algo- rithm. For example, if two surviving paths are stored at each time instance, then the complexity is twice as much as that of the Viterbi algorithm. Therefore, we propose low complex- ity approaches such as M- and T-algorithms, or tree ...