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The problem is the classical dilemma of rapidly increasing computational time.
Obviously, eliminating this threshold by allowing all MBs to be motion estimated and compensated using patterns and finally selected by the Lagrangian optimization function will provide better rate-distortion performance by increasing computational time.
The results indicate that the HES approach can be used to solve problems in a simple structured mesh without increasing computational time compared to the EE approach and that it features fast convergence in conditions of strong magnetic confinement.
Due to the fast increasing computational time, we had to manage the number of initial conditions and updates used.
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Furthermore, the increase in the number of search moves carried out by SA is shown to significantly improve the results with linearly increasing computational times.
Taking more spatial points results in better accuracy but increases computational time.
Additionally, the added complexities significantly increase computational time during simulation experiments.
Since these methods involve iterative or stochastic optimization, they can obtain higher quality results when compared to preclustering methods at the expense of increased computational time.
In the proposed method, in spite of other counterpart methods [8, 13, 14, 29 32], segmentation methods that increase computational time were not used.
Solvation calculations with the PCM have been implemented with the FMO method [87] and although this does increase computational time, more accurate treatment of solvation from a single point calculation would be possible.
Based on this approach, we also propose an FPGA based system for microarray image analysis that eliminates the shortcomings of existing software platforms: user intervention, increased computational time and cost.
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