Sentence examples for methods can tackle from inspiring English sources

To this end, modern computational methods, utilizing integrated modeling, are critical as these methods can tackle unprecedented volumes of data.

The method can tackle Petri Nets models with uncertain initial markings, as is the case when in a distributed architecture, two Petri Nets share some places where the tokens can pass unobservably from one net to another.

Study of protein dynamics in living tissue faces many technical hurdles that no available method can tackle satisfactorily.

We have demonstrated that the SNP-MaP method can tackle the QTL problem of large samples and large numbers of SNPs.

Massive and complex data sets produced by the sequencers create a need for development of statistical and computational methods that can tackle the analysis and management of data.

Our results demonstrate that single-molecule force-spectroscopy-based methods can adequately tackle the challenge of "un-boiling eggs", providing a general methodology to characterize the folding kinetics of many proteins that suffer from irreversible denaturation and thus cannot be characterized using traditional equilibrium methodologies.

Due to the inherent nature of gradient method, the proposed method is very flexible and it can tackle the designs with composite objectives, which are more challenging and often intractable for the existing methods.

More importantly, in contrast to previous methods, the proposed IQP procedure can tackle the simultaneous fitting of multiple components into an assembly map without adding computational complexity.

The Narang group is building a research effort that, through a combination of applying existing theory methods as well as developing novel methods that implement non-equilibrium theories, can tackle this challenge.

Temporal-difference (TD) learning is a fundamental method for solving the reinforcement learning problem, and it can tackle the temporal credit assignment problem.

Contrary to most other classification methods and due to the way data are represented through kernels, SVMs can tackle high dimensional data (for example microarray data).