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A Riemann problem based method for solving two-medium flow including compressible and incompressible regions is presented.
This paper presents a progressive interpolation based method for solving a simple root within a given interval, which is of convergence order 3⋅2n−3 and needs n functional evaluations of the given function f(t).
Very recently, [ 18- 20] proposed genome-assisted (i.e., mapping based) methods for simultaneously solving ID and IE based on paired RNA-Seq reads.
The parallelism includes a novel dependency relationship link based method for efficiently solving parallel explicit shell element equations.
In [25, 26], analytical based methods for identification of critical fault points for solving the relay coordination problem were discussed.
The objective of this paper is to compare three optimization-based methods for solving aerodynamic design problems.
Sakawa and Yano [40] developed LP-based methods for solving formulated three types of problems for obtaining the FLR models, where both input and output data are fuzzy numbers.
However, mapping between design parameter space and objective space may be largely non-convex and is uninfluenced by the use of gradient-based methods for solving the optimization problem.
We propose integer programming-based methods for solving these problems in a unified manner, and we conduct computational experiments to illustrate the efficiency and the effectiveness of our method for our multiple-BN control problems.
In this work, we study the accuracy and efficiency of hierarchical matrix (H-matrix) based fast methods for solving dense linear systems arising from the discretization of the 3D elastodynamic Green's tensors.
The proposed SCA based method consists of solving the OMP for each precession frequency candidate and retain the solution which minimizes the mean square error (MSE) between the measurements and estimated signal.
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