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While FE can provide more detailed and accurate analysis, the much faster computational time (in the order of seconds) and acceptable error (< 10%% ) associated with FM, bring high hope for its potential usefulness as an integral part of clinical practice.
Using two case studies comprising a GMA model of branched metabolic pathway and a lin-log model of L. lactis glycolytic pathway, we show that the IFPE can produce parameter estimates with a low bias and in much faster computational times than standard parameter estimation method based on simultaneous approach.
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The response curves of the original non-reduced model are readily recovered, resulting in much faster computation, and, therefore, savings in storage and computational effort.
This is much faster as the computational complexity is of the order (mathcal {O}(n^{2})) and (mathcal {O}(n^{3})).
There are several different proposals for making DNA computers that could not just hold but also process data, possibly finding solutions to difficult computational problems much faster than current silicon computers, because billions of molecules could conduct many searches for the best solution in parallel.
It therefore means that, methods for obtaining much faster solutions with less computational complexities must of necessity be devised.
Because this method will track the target according to the rate of increasing gradient; therefore in comparison to the template matching method, this method is much faster and requires less computational amount, because ignores blindly searching [36].
Modern CPU architectures and computational optimization methods allow for very fast matrix multiplication, thus those types of kernel matrices can be computed much faster than others.
The computational results proved that SI turned out to be superior to other approaches for all the accomplished tests yielding a higher and much faster growing mean fitness at less computational time.
Moreover, for a single CA task, the computational time increases much faster than that of the linear growth with the scale of the power system, due to the non-linearity of power flow computation.
Most of the academic work focuses on static analysis, since it requires less computational resources and is much faster than dynamic analysis.
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