When used to solve the Stokes equations with sources on an open, immersed interface, the method generates second-order approximations, for both the pressure and the velocity, and preserves the jumps in the solutions and their derivatives across the boundary.
The second method generates the new iterate by searching the optimal step size along a new descent direction, which can be viewed as a refinement and improvement of the first one.
The first one can be viewed as an extension of the method proposed in [1] by performing an additional step at each iteration and another optimal step length is employed to reach substantial progress in each iteration while the second method generates the new iterate by searching the optimal step size along a new descent direction.
One is a simplified method, which uses the error signal directly as the reference signal in the feedback structure, and the second method generates the reference signal for the feedback structure by using only the secondary signal from the feedback structure and utilizes the generated reference signal as the error signal of the feedforward structure.
An attractive method of generating second-order data was developed by a dropping technique to generate pH gradient simultaneously coupled with diode-array spectrophotometer scanning.
A third method generates a playlist according to user preferences and situations [24].
The first method generates network structures and tests their stability until a network structure with a stable (or unstable) behavior is found.
First, this method generates high quality multiple sequence alignments that can be used for phylogenetic reconstructions as well as for diversity measures such as the identification of OTUs.
First, our method generates all the combinational subsets with three genes.
First, our method generates significance scores based on the input of a particular molecular profile, such as a set of differentially expressed genes.
The proposed method works in two stages: In the first stage, the method generates a topology string based on the geometric details of secondary structure elements, and then, utilizes an n-gram modelling technique over entropy concept to capture similarities in these strings.
