Exact(12)
Empirically, it deploys 35% fewer relays with reasonable runtime compared to the closest approach.
In particular, our experiments show up to 16× improvement in runtime compared to our highly optimized CPU-only single-core ReaxFF implementation.
The comparison results agree well with numerical results both for conduction and advection dominated heat transfer systems, and analytical solutions provide significantly shorter runtime compared to numerical simulations (approx. 1500 times shorter).
Assessing different higher order sensitivities effects of different sets of input parameters on model outputs contributes to: quantifying parameters having the highest impact on outputs uncertainties, traversing output design space efficiently, and converging to a higher circuit performance in a reasonable runtime compared to other approaches.
Also, as explained in Section 5, SCSM + SIR has more runtime compared to our proposed 2D-MMDGD, and also the other methods.
Evaluation accuracy is further improved by using longer stochastic sequences with yet a shorter runtime compared to the approximate method.
Similar(48)
Our asymptotic runtime compares favourably with conventional ('primal') methods, because primal methods search for full-length parameter vectors in a space that grows exponentially with the number of parameters.
These algorithmic changes were implemented and tested, and smooth 1-D shallow water experiments confirm the same or slightly better accuracy as well as 2 3× lower runtimes compared to Norman and Finkel (2012) [2].
The performance gain in runtime was compared when running on a multi-node cluster.
The added complexity of the cost function being optimized in fastSTRUCTURE increases its runtime when compared to ADMIXTURE.
To conclude, the MLRBF kernel offers a good solution with low runtime cost compared with RBF or Sigmoid kernels, but the linear still continues getting the lowest cost.
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