The effect of scaling of the computational model (size of model) on the compressive strength and post critical response is also studied.
Because we need to specify a ω ij interval for all possible n2 regulators of a GRN, large ω ij intervals have a considerable impact on the computational complexity (size of parameter solution space) of the model inference algorithm.
To reduce computational load and size of the projections (i.e., the number of HEALPix pixels), we rebinned the sensitivity maps to block 64 (~31.5" x ~31.5"), used ~25.8 HEALPix pixels, and assigned rebinned sensitivity map pixels to the nearest HEALPix pixel, ignoring spillover.
This confirms a proper selection of the SMQ for our embedded matrix quantizer in the sense of both the computational complexity and size of the memory.
To give an idea about the gain in computational cost, the size of the dictionary at the third level is equal to 400 × 3136.
This extremely small computational engine approximately the size of a dime governs multiple microminiature motors that precisely coordinate movement and feedback in APL's state-of-the-art prosthetic arm, which has 26 degrees of freedom that include independent movement of each finger.
To reduce the computational load, the size of the solution space is reduced by fixing the position of femtocells in one of the floors (offices 1 to 4) to their positions in the optimal solution for one floor, so that only femtocells in offices 5 to 8 can move.
In terms of classification accuracy, computational time and size of the feature sets used, non-repeated best-first search combined with 1-nearest neighbor classifier was the best approach.
The relations between the minimal proportion of object within the computational window α min and the size of computational window T W can be defined as: {alpha}_{min }=frac{1}{T_W^2} (13).
The impact of a wide range of computational parameters is investigated, including the size of the computational domain, the resolution of the computational grid, the inlet turbulent kinetic energy profile of the atmospheric boundary layer, the turbulence model, the order of the discretization schemes and the iterative convergence criteria.
