Moreover, it offers a promising alternative to the prohibitive Monte-Carlo/scanning based methods that are usually used for the same task.
Numerical procedures for modelling deformable objects, with respect to their efficiency, mainly belong to the following two classes: interactive methods (that are fast but have moderate accuracy), and continuum mechanics based methods (that are accurate, but generally not fully interactive).
Therefore, efforts have been focused on developing a numerical approximation scheme, allowing for a pricing of the American option that is more accurate as well as a faster one than the lattice- or simulation- based methods that are time consuming and computationally more demanding.
In addition, the hybridization based methods that are generally used to measure the abundance of individual mutants by STM or TRASH, require relative large amounts of DNA or RNA and exhibit a limited dynamic range.
SVM is a machine learning based method that is applied to classify input data patterns into predefined classes.
There is an interesting aspect in the use of nanoparticle based method that is generic in nature.
This paper presents a physically based method that is able to extrapolate radial turbines reduced mass flow and adiabatic efficiency in blade speed ratio, turbine rotational speed and stator vanes position.
With the Utility based method that is used in ArchReco prototype the user is able to define for a set of pre-defined contextual factors the weight of importance that each factor may have in the computation and if the factor should be included in the computation or not.
We report here an ANN based method that is able to correlate a complete set of sequence-derived physicochemical properties with antimicrobial activity.
Secondly, they use expectation maximization (EM) like algorithm to estimate variables, and we use maximum likelihood based method that is computationally more efficient.
To identify the orthologous gene pairs between A. lucayanum and B. floridae, we employed Proteinortho (v5.05) (Lechner et al. 2011), a reciprocal best hits based method that is suitable for large-scale analysis.
