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The tool dwelling-time distribution is solved by the recursive method.
For both F-policy and N-policy models, the queue size distributions are determined by the recursive method.
The main conclusions of this paper are proved by the recursive method and a new criterion for the monotonicity of the quotient of two power series.
The steady-state probabilities evaluated by the recursive method can be used to derive various performance measures for both F- policy and N-policy systems.
Sharma (2012) developed a cost model for the machine repair system with N-policy and solved the governing equations by the recursive method.
By the recursive method, the solutions ( x n, y n ) ∈ D 1 of system (1.1) satisfy the conditions of theorem and 0 < x n < x n + 1 < x ∗, 0 < y n < y n + 1 < y ∗ ( n = 1, 2, … ).
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The queue size distribution has been established by Kumar and Jain (2013) for both F-policy and N-policy by employing the recursive method.
We shall prove this theorem by employing the recursive method on the natural number j.
Wang et al. (2008) considered a G/M/1/K queueing system with F-policy and start-up time by employing the recursive method.
The analysis is performed by using the recursive method; it gets accomplished, when the segregated block size is lesser than half size of the minutest feature region and this process is referred to as "tree split".
The recursive method by Barry et al. [9] is most commonly used for the single transmitter environment and it agrees well with experimental results.
More suggestions(16)
by the recursive equation
by the scientific method
by the recursive averaging
by the recursive definition
by the recursive application
by the recursive call
by the recursive summation
by the recursive feature
by the recursive structure
by the horizontal method
by the recursive second-order
by the average method
by the recursive manner
by the recursive use
by the ΔΔCt method
by the recursive nature
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