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Multi-objective spatial allocation problems often exhibit substantial computational complexity, especially when spatial pattern characteristics are specified as the allocation objectives.
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Only few studies so far have attempted to use this cortical representation in speech processing, yielding some improvements for automatic speech recognition at the expense of substantial computational complexity[4, 5].
Second, although the proposed algorithm has no obvious advantages over the previous work in[17] in terms of localization performance, the nature of our algorithm yields substantial reduction in the computational complexity.
The solution of the hydrocarbon phase equilibria problem through the use of an Equation of State (EoS) requires substantial computational power due to the complexity and iterative nature of the calculations particularly when the reservoir fluid needs to be described with a significant number of components.
Nevertheless, the substantial volume of biological data adds computational complexity to downstream analyses including functional annotation of gene sequences of a donor genome [ 9].
Thus, the computational complexity is not significant.
Computational Complexity theory is covered in computability and complexity.
These studies reveal substantial performance gains provided by the SPIGH algorithm in terms of computational complexity, localization accuracy, and robustness.
The complexity, granularity and dimensionality of the problem require of substantial computational resources that are not affordable by regular CPU-based architectures.
Computational complexity [could reference] how complicated a computation was on that most universal computer, that of the physics of the world.
The simulation results validate that our LLR-based TA-aided VBLAST detectors can provide substantial BER performance gain over the pervious LR-aided VBLAST detectors, while only moderate computational complexity is increased.
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