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The algorithm helps overcome the high computational complexity of solving such problems offline.
On one hand, the distributed auction can reduce the complexity of solving the power allocation problem.
To reduce the complexity of solving the maximum throughput, we assume that tcoll is a constant.
This article improves upper bounds on the query complexity of solving several function problems defined on propositional formulas.
It is well known that the complexity of solving the above system of equations is about M 3/3.
While the complexity of solving the linear programming problem P-4 depends on the numerical algorithms which we apply.
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Computational complexity, Inherent cost of solving a problem in large-scale scientific computation, measured by the number of operations required as well as the amount of memory used and the order in which it is used.
For cases 1 and 2, the complexity is that of solving one concave problem ((13) and (16), respectively).
For case 3, the complexity is that of solving two concave problems: (16) (to check the constraint) and (18), and finding the optimal split γ (e.g. using a loop or a bisection method).
Consequently, we present three heuristic algorithms of polynomial complexity for solving the problem in a practical manner.
Since there are initial users, the complexity is bounded above by that of solving convex optimization problems with different dimensions, where the dimension of the problem depends on the iteration.
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