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A new family of hybrid three-term conjugate gradient method for unconstrained optimization with application to image restoration and portfolio selection 一种新的混合三项共轭梯度无约束优化方法及其在图像恢复和组合选择中的应用
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.2023001
M. Malik, I. Sulaiman, A. Abubakar, Gianinna Ardaneswari, Sukono
The conjugate gradient (CG) method is an optimization method, which, in its application, has a fast convergence. Until now, many CG methods have been developed to improve computational performance and have been applied to real-world problems. In this paper, a new hybrid three-term CG method is proposed for solving unconstrained optimization problems. The search direction is a three-term hybrid form of the Hestenes-Stiefel (HS) and the Polak-Ribiére-Polyak (PRP) CG coefficients, and it satisfies the sufficient descent condition. In addition, the global convergence properties of the proposed method will also be proved under the weak Wolfe line search. By using several test functions, numerical results show that the proposed method is most efficient compared to some of the existing methods. In addition, the proposed method is used in practical application problems for image restoration and portfolio selection.
共轭梯度法(CG)是一种优化方法,在应用中收敛速度快。到目前为止,已经开发了许多CG方法来提高计算性能,并已应用于现实世界的问题。本文提出了一种新的求解无约束优化问题的混合三项CG方法。搜索方向是Hestenes-Stiefel (HS)和polak - ribi - polyak (PRP) CG系数的三项混合形式,满足充分下降条件。此外,还证明了该方法在弱Wolfe线搜索下的全局收敛性。通过几个测试函数,数值结果表明,与现有的一些方法相比,所提出的方法是最有效的。此外,该方法还用于图像恢复和组合选择等实际应用问题。
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引用次数: 9
Energy analysis of the ADI-FDTD method with fourth-order accuracy in time for Maxwell's equations 麦克斯韦方程组四阶精度时域有限差分法的能量分析
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.2023012
Li Zhang, Maohua Ran, Han Zhang
In this work, the ADI-FDTD method with fourth-order accuracy in time for the 2-D Maxwell's equations without sources and charges is proposed. We mainly focus on energy analysis of the proposed ADI-FDTD method. By using the energy method, we derive the numerical energy identity of the ADI-FDTD method and show that the ADI-FDTD method is approximately energy-preserving. In comparison with the energy in theory, the numerical one has two perturbation terms and can be used in computation in order to keep it approximately energy-preserving. Numerical experiments are given to show the performance of the proposed ADI-FDTD method which confirm the theoretical results.
本文提出了求解无源无电荷二维麦克斯韦方程组的四阶时域精度ADI-FDTD方法。本文主要对所提出的ADI-FDTD方法进行了能量分析。利用能量法推导了ADI-FDTD方法的数值能量恒等式,并证明了ADI-FDTD方法是近似能量守恒的。与理论能量相比,数值能量有两个摄动项,可以在计算中使用,以保持其近似保能。数值实验验证了所提出的ADI-FDTD方法的性能,验证了理论结果。
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引用次数: 0
Significance of heat transfer for second-grade fuzzy hybrid nanofluid flow over a stretching/shrinking Riga wedge 二级模糊混合纳米流体在拉伸/收缩Riga楔上流动的传热意义
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.2023014
I. Siddique, Yasir Khan, Muhammad Nadeem, J. Awrejcewicz, M. Bilal
This investigation presents the fuzzy nanoparticle volume fraction on heat transfer of second-grade hybrid $ {text{A}}{{text{l}}_{text{2}}}{{text{O}}_{text{3}}}{text{ + Cu/EO}} $ nanofluid over a stretching/shrinking Riga wedge under the contribution of heat source, stagnation point, and nonlinear thermal radiation. Also, this inquiry includes flow simulations using modified Hartmann number, boundary wall slip and heat convective boundary condition. Engine oil is used as the host fluid and two distinct nanomaterials ($ {text{Cu}} $ and $ {text{A}}{{text{l}}_{text{2}}}{{text{O}}_{text{3}}} $) are used as nanoparticles. The associated nonlinear governing PDEs are intended to be reduced into ODEs using suitable transformations. After that 'bvp4c, ' a MATLAB technique is used to compute the solution of said problem. For validation, the current findings are consistent with those previously published. The temperature of the hybrid nanofluid rises significantly more quickly than the temperature of the second-grade fluid, for larger values of the wedge angle parameter, the volume percentage of nanomaterials. For improvements to the wedge angle and Hartmann parameter, the skin friction factor improves. Also, for the comparison of nanofluids and hybrid nanofluids through membership function (MF), the nanoparticle volume fraction is taken as a triangular fuzzy number (TFN) in this work. Membership function and $ sigma {text{ - cut}} $ are controlled TFN which ranges from 0 to 1. According to the fuzzy analysis, the hybrid nanofluid gives a more heat transfer rate as compared to nanofluids. Heat transfer and boundary layer flow at wedges have recently received a lot of attention due to several metallurgical and engineering physical applications such as continuous casting, metal extrusion, wire drawing, plastic, hot rolling, crystal growing, fibreglass and paper manufacturing.
本文研究了在热源、驻点和非线性热辐射作用下,纳米颗粒体积分数对二级混合流体$ {text{A}}{{text{l}}_{text{2}}}{{text{O}}}{text{+ Cu/EO}} $在拉伸/收缩的Riga楔上传热的影响。此外,本文还研究了采用修正哈特曼数、边界壁滑移和热对流边界条件的流动模拟。发动机机油被用作主流体,两种不同的纳米材料($ {text{Cu}} $和$ {text{A}}{{text{l}}_{text{2}}}{{text{O}}_{text{3}}} $)被用作纳米粒子。将相关的非线性控制偏微分方程通过适当的变换简化为偏微分方程。在'bvp4c '之后,使用MATLAB技术来计算所述问题的解。为了验证,目前的研究结果与先前发表的研究结果一致。当楔角参数值较大时,纳米材料的体积百分比增大,杂化纳米流体的温度上升速度明显快于二级流体。由于楔形角和哈特曼参数的改善,表面摩擦系数有所提高。此外,为了通过隶属函数(MF)对纳米流体和混合纳米流体进行比较,本文将纳米颗粒体积分数作为三角模糊数(TFN)。隶属函数和$ sigma {text{- cut}} $为受控TFN,取值范围为0 ~ 1。根据模糊分析,混合纳米流体比纳米流体具有更高的传热速率。由于连铸、金属挤压、拉丝、塑料、热轧、晶体生长、玻璃纤维和造纸等冶金和工程物理应用,楔形处的传热和边界层流动最近受到了很多关注。
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引用次数: 17
Equivalence of novel IH-implicit fixed point algorithms for a general class of contractive maps 一类压缩映射的新型ih隐式不动点算法的等价性
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.2023041
I. K. Agwu, Umar Ishtiaq, N. Saleem, D. Igbokwe, F. Jarad
In this paper, a novel implicit IH-multistep fixed point algorithm and convergence result for a general class of contractive maps is introduced without any imposition of the "sum conditions" on the countably finite family of the iteration parameters. Furthermore, it is shown that the convergence of the proposed iteration scheme is equivalent to some other implicit IH-type iterative schemes (e.g., implicit IH-Noor, implicit IH-Ishikawa and implicit IH-Mann) for the same class of maps. Also, some numerical examples are given to illustrate that the equivalence is true. Our results complement, improve and unify several equivalent results recently announced in literature.
本文给出了一种新的隐式ih -多步不动点算法及其收敛结果,该算法不需要对迭代参数的可数有限族施加“求和条件”。进一步证明了对于同一类映射,所提迭代方案的收敛性等价于其他隐式ih型迭代方案(如隐式IH-Noor、隐式IH-Ishikawa和隐式IH-Mann)。并给出了一些数值算例来说明该等价性的正确性。我们的结果补充、改进和统一了最近在文献中公布的几个等效结果。
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引用次数: 1
Extended DEA method for solving multi-objective transportation problem with Fermatean fuzzy sets 求解fermatan模糊集多目标运输问题的扩展DEA方法
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.2023045
Muhammad Akram, S. Shah, M. M. Al-Shamiri, S. Edalatpanah
Data envelopment analysis (DEA) is a linear programming approach used to determine the relative efficiencies of multiple decision-making units (DMUs). A transportation problem (TP) is a special type of linear programming problem (LPP) which is used to minimize the total transportation cost or maximize the total transportation profit of transporting a product from multiple sources to multiple destinations. Because of the connection between the multi-objective TP (MOTP) and DEA, DEA-based techniques are more often used to handle practical TPs. The objective of this work is to investigate the TP with Fermatean fuzzy costs in the presence of numerous conflicting objectives. In particular, a Fermatean fuzzy DEA (FFDEA) method is proposed to solve the Fermatean fuzzy MOTP (FFMOTP). In this regard, every arc in FFMOTP is considered a DMU. Additionally, those objective functions that should be maximized will be used to define the outputs of DMUs, while those that should be minimized will be used to define the inputs of DMUs. As a consequence, two different Fermatean fuzzy effciency scores (FFESs) will be obtained for every arc by solving the FFDEA models. Therefore, unique FFESs will be obtained for every arc by finding the mean of these FFESs. Finally, the FFMOTP will be transformed into a single objective Fermatean fuzzy TP (FFTP) that can be solved by applying standard algorithms. A numerical example is illustrated to support the proposed method, and the results obtained by using the proposed method are compared to those of existing techniques. Moreover, the advantages of the proposed method are also discussed.
数据包络分析(DEA)是一种用于确定多个决策单元(dmu)相对效率的线性规划方法。运输问题(TP)是一种特殊类型的线性规划问题(LPP),用于将产品从多个来源运输到多个目的地的总运输成本最小化或总运输利润最大化。由于多目标目标决策(MOTP)与DEA之间的联系,基于DEA的技术更常用于处理实际的多目标目标决策。本工作的目的是研究在存在许多冲突目标的情况下,具有费尔马模糊成本的TP。针对fermatan fuzzy MOTP (FFMOTP)问题,提出了一种fermatan fuzzy DEA (FFDEA)方法。在这方面,《FFMOTP》中的每个弧都被视为DMU。此外,那些应该最大化的目标函数将被用来定义dmu的输出,而那些应该最小化的目标函数将被用来定义dmu的输入。因此,通过求解FFDEA模型,每条弧线将得到两个不同的Fermatean模糊效率分数(FFESs)。因此,通过求这些FFESs的均值,就可以得到每条弧唯一的FFESs。最后,将FFMOTP转化为可应用标准算法求解的单目标Fermatean fuzzy TP (FFTP)。数值算例验证了所提方法的正确性,并将所提方法的结果与现有方法的结果进行了比较。此外,还讨论了该方法的优点。
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引用次数: 14
An alternating direction power-method for computing the largest singular value and singular vectors of a matrix 计算矩阵最大奇异值和奇异向量的交变方向幂方法
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.2023056
Yonghong Duan, Ruiping Wen
The singular value decomposition (SVD) is an important tool in matrix theory and numerical linear algebra. Research on the efficient numerical algorithms for computing the SVD of a matrix is extensive in the past decades. In this paper, we propose an alternating direction power-method for computing the largest singular value and singular vector of a matrix. The new method is similar to the well-known power method but needs fewer operations in the iterations. Convergence of the new method is proved under suitable conditions. Theoretical analysis and numerical experiments show both that the new method is feasible and is effective than the power method in some cases.
奇异值分解(SVD)是矩阵理论和数值线性代数中的一个重要工具。在过去的几十年里,对计算矩阵奇异值分解的有效数值算法进行了广泛的研究。本文提出了一种计算矩阵最大奇异值和奇异向量的交变方向幂法。该方法与幂函数法相似,但迭代次数较少。在适当的条件下证明了新方法的收敛性。理论分析和数值实验均表明,在某些情况下,新方法是可行的,并且比幂方法更有效。
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引用次数: 0
Positive radial solutions for a boundary value problem associated to a system of elliptic equations with semipositone nonlinearities 一类半正子非线性椭圆方程边值问题的正径向解
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.2023053
Limin Guo, Jiafa Xu, D. O’Regan
In this paper we use the fixed point index theory to study the existence of positive radial solutions for a system of boundary value problems with semipositone second order elliptic equations. Some appropriate concave and convex functions are utilized to characterize coupling behaviors of our nonlinearities.
本文利用不动点指标理论研究了一类半正数二阶椭圆型方程边值问题的正径向解的存在性。利用适当的凹函数和凸函数来表征非线性的耦合行为。
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引用次数: 1
Dynamical analysis and boundedness for a generalized chaotic Lorenz model 广义混沌Lorenz模型的动力学分析与有界性
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.20231005
Xinna Mao, Hongwei Feng, M. Al-Towailb, H. Saberi-Nik
The dynamical behavior of a 5-dimensional Lorenz model (5DLM) is investigated. Bifurcation diagrams address the chaotic and periodic behaviors associated with the bifurcation parameter. The Hamilton energy and its dependence on the stability of the dynamical system are presented. The global exponential attractive set (GEAS) is estimated in different 3-dimensional projection planes. A more conservative bound for the system is determined, that can be applied in synchronization and chaos control of dynamical systems. Finally, the finite time synchronization of the 5DLM, indicating the role of the ultimate bound for each variable, is studied. Simulations illustrate the effectiveness of the achieved theoretical results.
研究了五维洛伦兹模型(5DLM)的动力学行为。分岔图处理与分岔参数相关的混沌和周期行为。给出了Hamilton能量及其对动力系统稳定性的依赖关系。在不同的三维投影平面上估计全局指数吸引集。确定了系统的一个更保守的界,可以应用于动态系统的同步和混沌控制。最后,研究了5DLM的有限时间同步性,表明了每个变量的极限界的作用。仿真结果验证了理论结果的有效性。
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引用次数: 0
Multi-objective optimization for AGV energy efficient scheduling problem with customer satisfaction 考虑客户满意度的AGV节能调度问题多目标优化
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.20231024
Jiaxin Chen, Yuxuan Wu, Shuai Huang, Pei Wang
In recent years, it has been gradually recognized that efficient scheduling of automated guided vehicles (AGVs) can help companies find the balance between energy consumption and workstation satisfaction. Therefore, the energy consumption of AGVs for the manufacturing environment and the AGV energy efficient scheduling problem with customer satisfaction (AGVEESC) in a flexible manufacturing system are investigated. A new multi-objective non-linear programming model is developed to minimize energy consumption while maximizing workstation satisfaction by optimizing the pick-up and delivery processes of the AGV for material handling. Through the introduction of auxiliary variables, the model is linearized. Then, an interactive fuzzy programming approach is developed to obtain a compromise solution by constructing a membership function for two conflicting objectives. The experimental results show that a good level of energy consumption and workstation satisfaction can be achieved through the proposed model and algorithm.
近年来,人们逐渐认识到,自动导引车(agv)的高效调度可以帮助企业在能源消耗和工作站满意度之间找到平衡。在此基础上,研究了柔性制造系统中AGV的能量消耗问题以及考虑客户满意度的AGV能效调度问题。提出了一种新的多目标非线性规划模型,通过优化AGV的物料搬运装卸过程,使能耗最小化,同时使工作站满意度最大化。通过引入辅助变量,对模型进行线性化处理。然后,提出了一种交互式模糊规划方法,通过构造两个冲突目标的隶属函数来获得折衷解。实验结果表明,该模型和算法可以达到较好的能耗水平和工作站满意度。
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引用次数: 1
The lower bound on the measure of sets consisting of Julia limiting directions of solutions to some complex equations associated with Petrenko's deviation 与Petrenko偏差相关的复方程解的Julia极限方向组成的集合测度的下界
IF 2.2 3区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/math.20231028
Guowei Zhang
In the value distribution theory of complex analysis, Petrenko's deviation is to describe more precisely the quantitative relationship between $ T (r, f) $ and $ log M (r, f) $ when the modulus of variable $ |z| = r $ is sufficiently large. In this paper we introduce Petrenko's deviations to the coefficients of three types of complex equations, which include difference equations, differential equations and differential-difference equations. Under different assumptions we study the lower bound of limiting directions of Julia sets of solutions of these equations, where Julia set is an important concept in complex dynamical systems. The results of this article show that the lower bound of limiting directions mentioned above is closely related to Petrenko's deviation, and our conclusions improve some known results.
在复分析的值分布理论中,Petrenko的偏差是在变量$ |z| = r $的模足够大时,更精确地描述$ T (r, f) $与$ log M (r, f) $之间的定量关系。本文介绍了差分方程、微分方程和微分-差分方程三种复方程系数的Petrenko偏差。在不同的假设条件下,研究了这些方程的Julia集解的极限方向的下界,其中Julia集是复杂动力系统中的一个重要概念。本文的结果表明,上述极限方向的下界与Petrenko偏差密切相关,我们的结论改进了一些已知的结果。
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引用次数: 0
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AIMS Mathematics
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