These are converged systems with a tight coupling of software and hardware and are integrated for a very good reason – because solving the complexities of assembling this type of solution together is really, really hard.
Although, the authors give a strong heuristic for solving the problem, its complexity, O(m n k l o g n+n 2 k+k 3) (m number of edges, n number of nodes, k number of sinks), makes it infeasible to be used dynamically in real sensor nodes.
In this article we present an improved exact algorithm for solving the problem, where the complexity is reduced to O(Tm+2⋅logT).
For the Traveling Salesman Problem, our theoretical results reflect on the long-standing debate on the expected complexity of branch-and-bound algorithms for solving the problem, indicating that the complexity can be polynomial or exponential, depending on the accuracy of the heuristic function used.
The general method applied here to optimize liposomal formulations of Amphotericin B, predictive Evo-DoE, can be used generally to discover and optimize other kinds of complex chemical systems, thus yielding a new tool for solving the problem of chemical complexity.
Therefore, the complexity for solving the ambiguous DOAs is given by M 1 L(M+1)(M−L).
The fuzzy logic theory is suitable for solving the vagueness, nonlinearity and complexity problems of an assembly process by implanting 'human reasoning and action' in the automated devices.
It is shown that the computational complexity for solving the formulated problems does not increase significantly with the number of receive (transmit) antennas in the cognitive link.
The QTT-rank of the matrix entities possesses almost the same magnitude as the number of occupied orbitals in the molecular systems, Nocomplexity for solving the BSE problem by the QTT approximation is estimated by O log(No N2o).
Hence, the computational complexity for solving the joint optimization problem can be greatly reduced.
This method can be applicable for solving the problem of multi factor complexity and uncertainty.
