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There are two main ensemble paradigms: sequential ensemble methods and parallel ensemble methods (Zhou 2012).
In order to reduce the processing time, efficient optimization methods and parallel distributed systems should be paid more attention.
This chapter discusses the development of mathematical models, numerical methods and parallel algorithms for aerodynamic design problems that focus on multiprocessing computing systems.
Although there are two caveats for ADMM, i.e., one is that closed-form solutions do not always exist and the other is that no convergence guarantees for more than two optimization objective terms, there are several recent solutions to address the two drawbacks, such as proximal gradient methods and parallel computing [111].
Through flow methods and parallel compressor have been used in the past to calculate the effects of this aerodynamic integration issue on the fan performance; however high-fidelity through flow methods are computationally expensive, which limits their use at preliminary design stage.
It uses a range of computational methods and relies extensively on massive amounts of data provided by high throughput methods and parallel large-scale measurements.
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f P parallel (black) and perpendicular (red) components of the currents determined using the curlometer method and parallel current calculated using FPI ion and electron moments (blue curve).
Then, we solve a first-order ODE of the tangent vector using the fourth-order Runge Kutta method, and parallel transport it along ˆγ.
Both methods of factor retention—Hull method and parallel analysis with data permutations suggested the existence of six factors underlying the data, so we decided to proceed estimating parameters for a 6-factor model.
Here, a decision-directed method and parallel interference cancellation (PIC) are introduced to construct a robust algorithm for the multichirp-rate signal in the multipath environment, which is called MMSE-DD-PIC for short.
In this section, we show a strong convergence of an iterative algorithm based on both viscosity approximation method and parallel method which solves the problem of finding a common element of the set of solutions of a generalized equilibrium problem and the set of fixed points of a family of finitely strict pseudocontractions in a Hilbert space.
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