Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things by Jun SUN, Shangweikang ZHAO

“…In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa algorithm iterated the external state value function, selected the appropriate edge computing server to offload the computing task, and then the particle swarm optimization algorithm solved the resource allocation problem.Finally, the environmental information was updated for the next round of algorithm iteration until the algorithm met the end conditions.The simulation results show that this scheme has faster convergence speed and effectively reduces the system energy consumption.…”
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A New Computational Technique for Common Solutions between Systems of Generalized Mixed Equilibrium and Fixed Point Problems by Pongsakorn Sunthrayuth, Poom Kumam

“…Then, we prove the strong convergence of the proposed iterative algorithm to a common element of the above three sets under some suitable conditions. …”
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Reduction of Free Edge Peeling Stress of Laminated Composites Using Active Piezoelectric Layers by Bin Huang, Heung Soo Kim

“…The approach is the extended Kantorovich method which is an iterative method. Multiterms of trial function are employed and governing equations are derived by taking the principle of complementary virtual work. …”
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Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI by Yaohui Wu, Youming Li, Liping Jin, Pengfei Shao

“…In order to reduce the complexity in the use of dual optimization method for solving the lagrange operator process, an iteration searching method in the same layer was proposed to replace the traditional multi-layer iteration searching method. …”
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New results on eliminating the duality gap of the second-order-cone reformulation for extended trust-region subproblem with two intersecting cuts by Wang, Meiling

“…Then we establish an iterative algorithm and the results of numerical experiments show that the iterative algorithm works efficiently in eliminating the SDPR-SOCR gap of $(\mathrm{ETR}_2)$.…”
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An Analytical Study on Two High-Order Hybrid Methods to Solve Systems of Nonlinear Equations by Hooman Darvishi, M. T. Darvishi

“…In order to solve systems of nonlinear equations, two novel iterative methods are presented. The successive over-relaxation method and the Chebyshev-like iterative methods to solve systems of nonlinear equations have combined to obtain the new algorithms. …”
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An Adaptive View Selection Algorithm for Large-scale Cone-Beam CT Reconstruction by Jingsong Lin, Singanallur Venkatakrishnan, Obaidullah Rahman, Gregery T. Buzzard, Amirkoushyar Ziabari, Charles A. Bouman

“…State-of-the-art reconstruction algorithms, such as model-based iterative reconstruction (MBIR), have made it possible to achieve high-quality reconstructions using significantly fewer projections. …”
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Integration of partially observed multimodal and multiscale neural signals for estimating a neural circuit using dynamic causal modeling. by Jiyoung Kang, Hae-Jeong Park

“…The proposed method achieves robust circuit inference by iteratively integrating parameter estimates from local microscale and global meso- or macroscale circuits, derived from signals across various scales and modalities. …”
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Cognitive Interviewing during Pretesting of the Prefinal Afrikaans for the Western Cape Disabilities of the Arm, Shoulder and Hand Questionnaire following Translation and Cross-Cul... by Susan de Klerk, Christina Jerosch-Herold, Helen Buchanan, Lana van Niekerk

“…Cognitive interviews were conducted as a reparative approach with an iterative process through retrospective verbal probing during a debriefing session with 30 participants once they answered all 30 items of the translated DASH questionnaire. …”
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Investigation of a Random-Fractal Antenna Based on a Natural Tree-Leaf Geometry by Hatem Rmili, Donia Oueslati, Imen Ben Trad, Jean Marie Floch, Abdullah Dobaie, Raj Mittra

“…Four configurations are designed by increasing the complexity of the structure, which ranges from iteration 0 to iteration 3. The fractal properties of the proposed tree-leaf antenna are then compared to those of a conventional fractal antenna with smooth edges. …”
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Algorithms for Solving System of Extended General Variational Inclusions and Fixed Points Problems by Narin Petrot, Javad Balooee

“…Subsequently, the convergence analysis of the proposed iterative algorithm under some suitable conditions is considered. …”
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Enhancing the Efficiency and Accuracy of MLFMA-PO Hybrid Method for Analyzing Electrically Large Objects by Hao Ding, Yong Zhang, Hai Lin

“…What is more, the modified iterative physical optics (IPO) accelerated by MLFMA technique is adopted to improve the accuracy by simulating complex structures with strong reflections. …”
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Approach towards the achievable sum rates capacity of Gaussian MIMO broadcast channels by PAN Cheng-kang1, CAI Yue-ming1, XU You-yun1, ZHANG Hua-ping2

“…Since it is very difficult to compute the sum rates capacity of Gaussian MIMO broadcast channels directly by using dirty paper coding approach,an iterative water-filling algorithm is proposed to obtain the sum capacity bound for multi-access channel and a suboptimal transmission policy to achieve the capacity bound is derived from the algorithm.Based on the duality of multiple-access and broadcast channels,the capacity bound and transmission policy in multi-access channels are mapped into the broadcast channel.Numerical results show that the proposed iterative algorithm is simple and effective to calculate the sum capacity bound,and the capacity achieved by the transmission policy is very close to the theoretical bound.This policy is quite considerable for downlink transmission of MIMO systems.…”
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Generalized set-valued variational-like inclusions and Wiener-Hopf equations in Banach spaces by Yali Zhao, Zunquan Xia, Zeqing Liu

“…Furthermore, we prove the existence of solutions of the generalized set-valued variational-like inclusions and the convergence criteria of the two iterative algorithms for the generalized set-valued variational-like inclusions in reflexive Banach spaces. …”
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Mixed quasi invex equilibrium problems by Muhammad Aslam Noor

“…It is shown that the convergence of these iterative schemes requires either pseudomonotonicity or partially relaxed strong monotonicity, which are weaker conditions than the previous ones. …”
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One-way hash function with chaotic dynamic parameters by GUO Wei1, CAO Yang1, WANG Xiao-min2, HE Da-ke1

“…A novel keyed one-way hash function based on chaotic dynamic parameters was presented which combines the advantage of both chaotic system and conventional one-way hash function.In the proposed approach the fixed parameters of conventional hash function is replaced by chaotic dynamic parameters.Compared with the existing chaotic hash func-tions,the new method takes conventional hash function as essential part of iteration instead of using the message blocks directly in chaotic iteration,thus improves the security of hash function and avoids bringing down system performance at the same time.Theoretical and experimental results show that the proposed method has high performance,strong one way property,large key space,sensitivity to initial conditions and chaotic system’s parameters.…”
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Optimal Algorithms and the BFGS Updating Techniques for Solving Unconstrained Nonlinear Minimization Problems by Chein-Shan Liu

“…An invariant manifold defined for the model problem in terms of a locally quadratic function is used to derive a purely iterative algorithm and the convergence is proven. …”
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Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization by Yuzhi YAN, Youming LI, Guili ZHOU, Yaohui WU

“…Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate,but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum sensing performance,a wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization was proposed.In this algorithm,the next iterative reconstruction weights were determined according to the current iterative reconstructed spectrum signal,which can encourage the sub-band occupied by primary user to generate signal value and decrease the likelihood of incorrect reconstruction.Simulation results show that the proposed algorithm can not only increases the spectral reconstruction accuracy,but also reduces time and communication costs of the sensing process,and improves the spectrum sensing performance.…”
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Numerical Algorithms for Finding Zeros of Nonlinear Equations and Their Dynamical Aspects by Amir Naseem, M. A. Rehman, Thabet Abdeljawad

“…Several numerical examples have been solved which prove the better efficiency of these algorithms as compared to other well-known iterative methods of the same kind. Finally, the comparison of polynomiographs generated by other well-known iterative methods with our developed algorithms has been made which reflects their dynamical aspects.…”
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Jointed LDPC codes design for half-duplex relay channels by Zi-qiang CHEN, Shan OUYANG, Hai-lin XIAO, Yue-lei XIE

“…To analyze the asymptotic coding gain of jointed LDPC codes, the iterative decoding convergence condition was derived in AWGN channel. …”
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