The objective of this paper is to present a brief review of recent developments in a class of iterative techniques for solving electromagnetic boundary value problems. The iterative algorithm discussed herein is based on the minimization of the norm of the boundary condition error on a body whose ...
In graphical construction techniques, the optimization functions along with their contours are drawn in the same graph. By focusing on the possible area of implementation, the techniques can generate the solution to the optimization problem (Bhandari et al., 2015; Borowy and Salameh, 1996; Markvar...
The algorithm requires minimal human intervention and also incorporates angular refinement to reduce the tilt angle error. We demonstrate that GENFIRE can produce superior results relative to several other popular tomographic reconstruction techniques through numerical simulations and by experimentally ...
iterative eigenvalue algorithms/ A0270 Computational techniquesApplication of direct iterations, based on convergent splittings, to the eigenvalue problem of large sparse symmetric matrices is discussed. A general convergence proof is given, and it is shown how parameters should be chosen to give the...
We survey the conceptual framework and several applications of the iterative compression technique introduced in 2004 by Reed, Smith, and Vetta. This technique has proven very useful for achieving a number of recent breakthroughs in the development of fixed-parameter algorithms for NP-hard minimization...
We describe these methods in more detail in the next section. In practice, we often use a variety of preconditioning techniques to improve the convergence of the iterative methods. In this white paper we focus on the incomplete-LU and Cholesky preconditioning [11], which is one of the most ...
We describe these methods in more detail in the next section. In practice, we often use a variety of preconditioning techniques to improve the convergence of the iterative methods. In this white paper we focus on the incomplete-LU and Cholesky preconditioning [11], which is one of the most ...
According to our previous study, the TV-regularized PWLS algorithm we referred to as “PWLS-TV” can address this issue, which can be solved using the steepest descent algorithm. Based on the image gradient magnitude sparseness22, TV of the image is one of the most commonly used techniques...
3.Research on Modem Techniques for BICM-ID Systems;比特交织编码调制迭代译码系统的调制解调技术研究 4.Monotone Iteration Algorithm for Quasi-linear Singular Perturbation Problems;奇异摄动拟线性问题的单调迭代算法 5.Three-Step Iteration about A-maximal Monotone Framework基于A-极大单调算子的三步迭代算法 6....
Precoding vector of transmit antenna has been iteratively updated in the algorithm proposed for beamforming (Fei et al., 2014; Li et al., 2014e). The objective was to minimize MSE under the per-antenna power constraint. In (Xing et al., 2016), an iterative solution has been proposed ...