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However, the main computational complexity of the family of PAPA algorithm is the matrix inversion in (5).
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Although the SV is quite an interesting concept, and provides an optimal and fair solution for many applications, its main drawback is its computational complexity: the number of computations will increase prohibitively when the number of game players increases.
The main drawback is its computational complexity.
The number of particles are the main factor of the computational complexity for PF approaches.
Abstraction has been advocated as one of the main remedies for the computational complexity of model-based diagnosis.
Since matrix inversion is the main source of the computational complexity, the solution with smaller-order matrix inversion is always favored in practical MIMO systems.
Consequently, the macro-stage obviates the need to consider a large set of candidate locations which is the main reason for the computational complexity of the supply chain optimization problems.
In this paper, however, we do not aim to solve the misalignment problem using tap selection schemes and do not claim to improve the misalignment performance for highly coherent loudspeaker signals, i.e., our main motivation is solely computational complexity reduction of MAEC systems.
Considering the abovementioned and the main computations in each iteration, the overall computational complexity of JFRP algorithm is at least in the order of (Oleft (KN/{epsilon _{2}^{2}}right)).
This is the main reason for reduction in computational complexity.
Both in baseline and main profiles the reduction in computational complexity is appreciable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com