Efficient Iterative Methods with and without Memory Possessing High Efficiency Indices by T. Lotfi, F. Soleymani, Z. Noori, A. Kılıçman, F. Khaksar Haghani

“…Two families of derivative-free methods without memory for approximating a simple zero of a nonlinear equation are presented. The proposed schemes have an accelerator parameter with the property that it can increase the convergence rate without any new functional evaluations. …”
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Permeability Models for Magma Flow through the Earth's Mantle: A Lie Group Analysis by N. Mindu, D. P. Mason

“…The migration of melt through the mantle of the Earth is governed by a third-order nonlinear partial differential equation for the voidage or volume fraction of melt. …”
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FE Simulation of Transmission Tower by Boshra Eltaly, Amen Saka, Kamel Kandil

“…The current research describes nonlinear FE models of predicting the transmission tower failure. …”
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Neurogenetic Algorithm for Solving Combinatorial Engineering Problems by M. Jalali Varnamkhasti, Nasruddin Hassan

“…In order to appraise the performance of the techniques used in this study, one of the chemistry problems and some nonlinear functions available in literature is used.…”
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Wavelet Optimal Estimations for Density Functions under Severely Ill-Posed Noises by Rui Li, Youming Liu

“…Then, we prove a lower bound, which shows our wavelet estimator optimal. In other words, nonlinear wavelet estimations are not needed in that case. …”
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Sliding Mode Observer and Control Design with Adaptive Parameter Estimation for a Supersonic Flight Vehicle by M. Bahrami, B. Ebrahimi, G. R. Ansarifar

“…Design and synthesis of a nonlinear generic supersonic flight vehicle longitudinal dynamics control for angle-of-attack, AOA, output tracking in the atmospheric flight is presented based on sliding mode control. …”
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Research on language recognition algorithm based on improved CFCC feature extraction by Hua LONG, Zhangheng HUANG, Yubin SHAO, Qingzhi DU, Shumeng SU

“…Aiming at the problem of low language recognition rate under low signal-to-noise ratio, a language recognition method based on fractional wavelet transform was proposed.Firstly, the adaptive filtering algorithm was used to filter the noise of the noisy signal, so as to reduce the influence of noise on the feature extraction and improve the processing ability of the system for non-stationary signals.Secondly, the motion of the signal on the basilar membrane of the cochlea was simulated, and then the signal was compressed by a nonlinear power function.Finally, the improved CFCC were extracted by simulating the human hearing process.Experiments show that compared with the traditional CFCC, the language recognition rate is significantly improved, and the language recognition rate is increased by 11.1% on average under the 0 dB signal-to-noise ratio, which verifies the effectiveness and robustness of the proposed algorithm.…”
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«GROWING UP» OF STUDENTS AS A PHENOMENON OF CHANGING HIGHER EDUCATION by G. E. Zborovsky, P. A. Ambarova

“…One of the tasks for educational researchers is to predict the possible consequences of this phenomenon for higher education and elaborate the elements of the nonlinearity of higher education that meet the identified trends. …”
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Image dehazing method based on haze-line and color attenuation prior by Miao LIAO, Yan LU, Jin ZHANG, Yuqian ZHAO, Shuanhu DI

“…To solve the problems caused by the existing image dehazing methods, such as color over-saturation, detail loss, and artifacts, a dehazing method was proposed based on haze-line and color attenuation prior.Firstly, haze-line prior and Hough vote were used to estimate the atmospheric light.Then, a nonlinear model on scene depth was constructed according to color attenuation prior theory to achieve transmission accurately.Finally, the haze was removed from the image by inversely solving the atmospheric scattering model, so as to obtain the dehazed image with rich details.The proposed method was tested on public RESIDE dataset in comparison with many existing methods.Experimental results show that the proposed method can effectively remove the haze from image and obtain a clear and natural dehazed image, which has higher time and space efficiency than other methods.…”
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Efficient Convex Optimization of Reentry Trajectory via the Chebyshev Pseudospectral Method by Chun-Mei Yu, Dang-Jun Zhao, Ye Yang

“…The Chebyshev-Gauss Legend (CGL) node points are used to transcribe the original dynamic constraint into algebraic equality constraint; therefore, a nonlinear programming (NLP) problem is concave and time-consuming to be solved. …”
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Neural network and Markov based combination prediction algorithm of video popularity by Xuesen MA, Shuyou CHEN, Xiangdong XU, Zhaokun CHU

“…Caching popular video into user-side in advance improves the user experience and reduces operator costs, which is a common practice in the industry.How to effectively predict the popularity of videos has become a hot issue in the industry.On account of the shortcomings of traditional prediction algorithms such as poor nonlinear mapping ability, low prediction accuracy and weak adaptability, a video popularity prediction algorithm based on a neural network and Markov combined model (Mar-BiLSTM) was proposed.Information dependencies were preserved by constructing bidirectional memory network model (bi-directional long short-term memory, BiLSTM), the prediction accuracy of the model was further improved by using Markov properties while avoiding the increase of the complexity of the model caused by the introduction of external variables.Experimental results show that compared with traditional time series and classic neural network algorithms, the proposed algorithm improves predicting accuracy, effectiveness and reduces the amount of calculation.…”
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Controllability of a fluid-structure interaction system coupling the Navier–Stokes system and a damped beam equation by Buffe, Rémi, Takahashi, Takéo

“…Then, the result on the nonlinear system is obtained by a fixed-point argument.…”
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Convergence Properties and Fixed Points of Two General Iterative Schemes with Composed Maps in Banach Spaces with Applications to Guaranteed Global Stability by Manuel De la Sen, Asier Ibeas

“…Some applications are also given to the important problem of global stability of a class of extended nonlinear polytopic-type parameterizations of certain dynamic systems.…”
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Strong and Δ-Convergence Theorems for Common Fixed Points of a Finite Family of Multivalued Demicontractive Mappings in CAT(0) Spaces by C. E. Chidume, A. U. Bello, P. Ndambomve

“…Our theorems complement and extend several recent important results on approximation of fixed points of certain nonlinear mappings in CAT(0) spaces. Furthermore, our method of the proof is of special interest.…”
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Nomadic Memory in Aleksandar Hemon’s Memoirs by Rubén Peinado-Abarrio

“…He presents the migrant as a subject-in-becoming, belonging to their community thanks to the workings of a transgenerational, nonlinear memory, operating in a time continuum where stable identities are deterritorialized and creative ways to access an unavailable past are generated. …”
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Dynamic Meshing Characteristic Analysis of Wind Power Planetary Gear Train by Yang Haiwan, Mutellip Ahmat, Zhao Yang

“…The dynamic meshing study is essential for the wind turbine which works in a harsh condition,especially,the gear train will be destructed by the time-varying load.Taking a wind turbine helical planetary gear train as study object,considering the influence of a variety of clearance and friction on meshing,a FEM model is built.By using the nonlinear dynamics method,the variation law of the gear tooth root bending stresses in the processing of the planet gear meshing with the sun gear or the internal gear is studied,the influence of the rotating speed on the meshing impact stresses is analyzed.Though the analyzing,with the speed increasing,the meshing stresses curve could get ahead,the impact stress of gear box and drive shaft will increase,while the curve of the impact stress are overall forward.However,the impact stress can’t always increase with the impact speed increasing.…”
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Research of Transmission Error Modeling and Its Parameter Sensitivity of the Cable-driven Sheave by Xu Chuntian, Wang Peng

“…Then,in view of the complicated nonlinear relations between the parameters and transmission error of the cable-driven sheaves,a method for fitting data with an exponential curve is proposed,by which this model is simplified as relations between the transmission error and single factor. …”
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Coupled and Tripled Coincidence Point Results with Application to Fredholm Integral Equations by Marwan Amin Kutbi, Nawab Hussain, Jamal Rezaei Roshan, Vahid Parvaneh

“…We also present an example as well as an application to nonlinear Fredholm integral equations in order to illustrate the effectiveness of our results.…”
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Crack simulation for the cover of the landfill � A seismic design by Mehran Karimpour-Fard, Omer Mughieda, Filippo Berto, Nurmunira Muhammad

“…Rankine�s theory and the Phantom Node Method were used for the simulation length of the crack and the mechanism of the crack propagation in the nonlinear extended finite element method (NXFEM). Artificial Neural Networks (ANNs) based on Levenberg-Marquardt Algorithm and Abalone Rings Data Set mode were used to predict displacement in critical points of the model. …”
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Analysis and Dynamic Load Characteristic Modeling of RV Reducer by Liu Xueao, Xu Honghai

“…The relationship between meshing force and pin gear radius is nonlinear. And the number of cycloidal gear tooth,the short amplitude coefficient and the pin gear center distribution circle radius are the main factor affecting the meshing force,the effect of pin gear radius is relatively small. …”
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