Implicit Pilots for an Efficient Channel Estimation in Simplified Massive MIMO Schemes with Precoding by Mário Marques da Silva, Rui Dinis, João Guerreiro

“…This paper proposes a new channel estimation scheme based on implicit pilots, optimized for a simplified massive multiple input, multiple output (MIMO), implemented with precoding, combined with Single-Carrier with Frequency-Domain Equalization (SC-FDE) modulations. We propose an iterative receiver that considers an iterative detection with interference cancellation and channel estimation. …”
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Multiple-Set Split Feasibility Problems for Asymptotically Strict Pseudocontractions by Shih-Sen Chang, Yeol Je Cho, J. K. Kim, W. B. Zhang, L. Yang

“…In this paper, we introduce an iterative method for solving the multiple-set split feasibility problems for asymptotically strict pseudocontractions in infinite-dimensional Hilbert spaces, and, by using the proposed iterative method, we improve and extend some recent results given by some authors.…”
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Fixed Point Theorems on Nonlinear Binary Operator Equations with Applications by Baomin Qiao

“…The existence and uniqueness for solution of systems of some binary nonlinear operator equations are discussed by using cone and partial order theory and monotone iteration theory. Furthermore, error estimates for iterative sequences and some corresponding results are obtained. …”
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Norm-Constrained Least-Squares Solutions to the Matrix Equation AXB=C by An-bao Xu, Zhenyun Peng

“…An iterative method to compute the least-squares solutions of the matrix AXB=C over the norm inequality constraint is proposed. …”
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Two-Level Brezzi-Pitkäranta Stabilized Finite Element Methods for the Incompressible Flows by Rong An, Xian Wang

“…We also propose a new Newton correction scheme based on the above two-level iteration methods. Finally, some numerical experiments are given to support the theoretical results and to check the efficiency of these two-level iteration methods.…”
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Strong Convergence Theorems for Zeros of Bounded Maximal Monotone Nonlinear Operators by C. E. Chidume, N. Djitté

“…An iteration process studied by Chidume and Zegeye 2002 is proved to converge strongly to a solution of the equation Au=0 where A is a bounded m-accretive operator on certain real Banach spaces E that include Lp spaces 2≤p<∞. …”
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A Numerical Approach for the Analytical Solution of Multidimensional Wave Problems by Jinxing Liu, Jiahua Fang, Muhammad Nadeem, Yahya Alsayyad

“…This study proposes an efficient and appropriate scheme to produce the approximate solutions of multidimensional problems arising in wave propagation. We use a new iterative strategy (NIS) to minimize the computational cost and less time than other approaches studied in the literature. …”
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Research on Pneumothorax Classification Model of DenseNet Based on Multilayer Network Optimization by Hongliang Huang, Qike Wang, Lidong Wang

“…This method optimizes multiple network layers and ensures the convergence of the neural network by reducing the learning rate with each iteration. Then, the binary cross-entropy loss function and accuracy evaluation function iteratively evaluated the effectiveness of the deep learning model and conducted multiple experiments. …”
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Optimization of Analytical Reconstruction Algorithms for Arbitrary CBCT Trajectory Using Deep Learning by Yuzhong Zhou, Linda-Sophie Schneider, Yipeng Sun, Andreas K. Maier

“…Although iterative methods are a common solution, they require substantial computational time and resources. …”
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On Convergence Theorems for Generalized Alpha Nonexpansive Mappings in Banach Spaces by Buthinah A. Bin Dehaish, Rawan K. Alharbi

“…The present paper seeks to illustrate approximation theorems to the fixed point for generalized α-nonexpansive mapping with the Mann iteration process. Furthermore, the same results are established with the Ishikawa iteration process in the uniformly convex Banach space setting. …”
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Descent methods for convex optimization problems in Banach spaces by M. S. S. Ali

“…We propose a general class of iterative methods, which are based on combining descent and regularization approaches and provide strong convergence of iteration sequences to a solution of the initial problem.…”
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Optimasi Fuzzy C-Means dan K-Means Menggunakan Algoritma Genetika untuk Pengklasteran Dataset Diabetic Retinopathy by Muhammad Ezar Al Rivan, Steven Steven, William Tanzil

“…These methods have large number of iteration as weakness. Number of iteration can be optimized using genetic algorithm. …”
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Recent Advances in Thoracic X-Ray Computed Tomography for Pulmonary Imaging by Bruce J Precious, Rekha Raju, Jonathon Leipsic

“…Potential clinical applications of iterative reconstruction include imaging for pulmonary nodules and high-resolution pulmonary CT.…”
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A Hybrid Method for a Countable Family of Multivalued Maps, Equilibrium Problems, and Variational Inequality Problems by Watcharaporn Cholamjiak, Suthep Suantai

“…Strong convergence theorems of the purposed iteration are established.…”
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-Convergence Problems for Asymptotically Nonexpansive Mappings in CAT(0) Spaces by Luo Yi Shi, Ru Dong Chen, Yu Jing Wu

“…New △-convergence theorems of iterative sequences for asymptotically nonexpansive mappings in CAT(0) spaces are obtained. …”
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On a Novel Fourth-Order Algorithm for Solving Systems of Nonlinear Equations by Diyashvir K. R. Babajee, Alicia Cordero, Fazlollah Soleymani, Juan R. Torregrosa

“…We propose an efficient iterative scheme including two steps and fourth order of convergence. …”
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Convergence Analysis of the Preconditioned Group Splitting Methods in Boundary Value Problems by Norhashidah Hj. Mohd Ali, Abdulkafi Mohammed Saeed

“…The construction of a specific splitting-type preconditioner in block formulation applied to a class of group relaxation iterative methods derived from the centred and rotated (skewed) finite difference approximations has been shown to improve the convergence rates of these methods. …”
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A cooperative multicast efficient resource allocation scheme based on limited feedback by Lei CHEN

“…A joint subcarrier and power allocation scheme based on limited feedback for cooperative multicast network was proposed to minimize the consumed power under constrain of QoS requirement.The new scheme worked in two steps.Firstly,subcarriers were distributed to different multicast groups with equal rate assumption according to limited feedback information,where fair subcarrier allocation scheme was used to achieve a tradeoff between power and fairness.Then,a cooperative power iterative scheme was adopted to allocate power effectively,where target rate on each subcarrier was computed by water-filling algorithm in the first place and then a power iterate process was implemented to optimize power allocation.Simulation and comparison results show that the new scheme significantly reduces uplink feedback overhear and the required power and the multicast service outage of cooperative scheme is much less than those of the direct scheme.Besides,cooperative power iterative scheme has lower computational complexity and therefore is suitable for practical system.…”
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On the Convergence of a Smooth Penalty Algorithm without Computing Global Solutions by Bingzhuang Liu, Changyu Wang, Wenling Zhao

“…Under a generalized Mangasarian-Fromovitz constraint qualification condition (GMFCQ) that is weaker and more comprehensive than the traditional MFCQ, we prove that the sequence generated by this algorithm will enter the feasible solution set of the primal problem after finite times of iteration, and if the sequence of iteration points has an accumulation point, then it must be a Karush-Kuhn-Tucker (KKT) point. …”
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Forecasting Model of Gear Crack Fault based on FA-ASTFA and Minimum Convex Hull by Yang Yu, Zhu Zhengxiang, Cheng Junsheng

“…The adaptive and sparsest time-frequency analysis（ASTFA） can realize signal spare decomposition adaptively by using Gauss-Newton iteration,but Gauss-Newton iteration is very sensitive to initial value which is determined by experience. …”
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