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Thus, the reduction of the dimension of this system by removing (fast) gating variables changes the criticality of the Hopf bifurcationd; if an aim of analysis is to determine the criticality of Hopf bifurcations, then this type of reduction should not be attempted.e. Figure 1 also shows that both versions of the model have a second Hopf bifurcation at much higher applied current.
Thus, we reached no fundamental limits, and increasing performance along almost every dimension of this system can be readily achieved with further development.
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This idea reduces the dimension of the system state vector; thus the computation speed is improved.
This fast implementation reduces the computational time delay significantly when the dimension of the system is higher than 512 = 29.
We obtain this result by using the finite dimensional reduction method for the dimension of the system which reduces the infinite dimensional problem to the finite dimensional one.
Therefore, the dimension of the system algebra is 2 d 2 + d.
But this results in an O N2) cost which grows prohibitively with the linear dimension of the system.
Therefore, the dimension of the system algebra is 2 d 2 + 3 d + 1.
In [9] and [10], LS algorithms are considered to reduce the dimension of the system.
The proposed algorithm is independent of the dimension of the system.
The dimension of the system is 300 × 230 × 70 mm3 and its cooling capacity is 200 W.
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