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In this paper, a new computing method for population-based haplotype inference problem is proposed.
During the process of iteration, to ensure the boundedness of ({H_{k}}), by modifying the computing technique in [1] for the approximate Lagrangian Hessian, we introduce a slightly new computing method for the approximate Hessian matrix (H_{k}) in Step 2 as follows from second order derivative information.
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Improvements in the technologies involved in screening of drugs for target sites, including the use of high-throughput screening procedures, recombinant DNA techniques, combinatorial chemistry, and new computing methods, have markedly increased the number of compounds that can be tested for their ability to bind to the target.
Therefore, in this work, model trees as a new soft computing method was invoked for prediction of significant wave height.
Kudelka et al. [54] introduced a new soft computing method for expert identification in social networks based on formal concept analysis and fuzzy rules.
Commercial solutions are typically not extensible by the end user, nor oriented towards prototyping of new tools, and may require specialized hardware, thereby limiting their applicability in projects that involve the development of new image computing methods.
With technological progress, the development of new materials, and the computing method advancement, the forming analysis has become easier.
Among new advances in computational methods, soft computing techniques have enjoyed a remarkable period of development and growth.
However, even if Moore's Law fails in the future, new methods of computing, like quantum computing, may again set the industry on breakneck development speeds.
Using the fact that the considered regression method is based on ANOVA decomposition, we introduced a new direct method for computing sensitivity indices.
A new numerical method for computing three-dimensional Stokes flow driven by a doubly-periodic array of regularized forces is presented.
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