With the use of the proposed algorithmic flow path, coarser grids can replace finer ones at the slight expense of accuracy.
Statistical analysis of the matrix data may be restricted because of the limited data points that mixed review evidence could provide but further analysis could explore, in a review with more methodologically robust trials, the value of using the algorithmic logic of QCA to explore variation in trial findings.
The autoignition kinetics of DME/air and EtOH/air stoichiometric mixtures are compared with the use of algorithmic tools from the CSP method at a range of initial conditions that refers to the operation of reciprocating engines.
The use of advanced algorithmic approaches such as machine learning may have application to bioprocess and supply chain optimization.
Fully dated species trees presented a greater algorithmic challenge and to obtain our fast O(mnlog n -time algorithm, we developed a n -timelgorithmic fralgorithmhat exploits the structure of fully dated species trees and makes use of recent algorithmic advances on the dynamic range minimum query problem (Brodal et al., 2011).
In all cases, the two major requirements are the development (aided by learning) of a probabilistic model relating linguistic inputs to desired outputs, and the algorithmic use of the model in assigning labels or structures to previously unseen inputs.
According to her press release, Jhane has recently been making use of an algorithmic computer program, fashioned exclusively for her, that has taken some of the busywork out of textile design, and freed her up to gaze "intothe future to see visions of theshapes of things to come".
Indeed, it is well recognized that there is room for better algorithmic use of the data, especially for repetitive regions, which are one of the primary challenges in assembly.
With the speedups of PROCOV made possible by the use of the BLAS libraries and other algorithmic improvements, it is now possible to compare topologies and, in some cases perform tree searches, for larger phylogenomic datasets (i.e. data sets made up of super-matrices of proteins) under covarion models in a reasonable time.
Rapidly increasing computer power has allowed the use of more sophisticated algorithmic designs and evolutionary methods.
