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Eigenproblem Basics and Algorithms 特征问题基础与算法
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112046
Lorentz Jäntschi
Some might say that the eigenproblem is one of the examples people discovered by looking at the sky and wondering. Even though it was formulated to explain the movement of the planets, today it has become the ansatz of solving many linear and nonlinear problems. Formulation in the terms of the eigenproblem is one of the key tools to solve complex problems, especially in the area of molecular geometry. However, the basic concept is difficult without proper preparation. A review paper covering basic concepts and algorithms is very useful. This review covers the basics of the topic. Definitions are provided for defective, Hermitian, Hessenberg, modal, singular, spectral, symmetric, skew-symmetric, skew-Hermitian, triangular, and Wishart matrices. Then, concepts of characteristic polynomial, eigendecomposition, eigenpair, eigenproblem, eigenspace, eigenvalue, and eigenvector are subsequently introduced. Faddeev–LeVerrier, von Mises, Gauss–Jordan, Pohlhausen, Lanczos–Arnoldi, Rayleigh–Ritz, Jacobi–Davidson, and Gauss–Seidel fundamental algorithms are given, while others (Francis–Kublanovskaya, Gram–Schmidt, Householder, Givens, Broyden–Fletcher–Goldfarb–Shanno, Davidon–Fletcher–Powell, and Saad–Schultz) are merely discussed. The eigenproblem has thus found its use in many topics. The applications discussed include solving Bessel’s, Helmholtz’s, Laplace’s, Legendre’s, Poisson’s, and Schrödinger’s equations. The algorithm extracting the first principal component is also provided.
有些人可能会说,特征问题是人们通过观察天空和思考而发现的例子之一。尽管它是用来解释行星运动的,但今天它已经成为解决许多线性和非线性问题的工具。特征问题的表述是解决复杂问题的关键工具之一,特别是在分子几何领域。然而,如果没有适当的准备,基本概念是困难的。一篇涵盖基本概念和算法的综述论文是非常有用的。这篇综述涵盖了这个主题的基础知识。给出了缺陷矩阵、厄米矩阵、海森伯格矩阵、模态矩阵、奇异矩阵、谱矩阵、对称矩阵、偏对称矩阵、偏厄米矩阵、三角形矩阵和Wishart矩阵的定义。接着介绍了特征多项式、特征分解、特征对、特征问题、特征空间、特征值、特征向量等概念。给出了Faddeev-LeVerrier、von Mises、Gauss-Jordan、Pohlhausen、Lanczos-Arnoldi、rayley - ritz、Jacobi-Davidson和Gauss-Seidel基本算法,而其他基本算法(Francis-Kublanovskaya、Gram-Schmidt、Householder、Givens、Broyden-Fletcher-Goldfarb-Shanno、Davidon-Fletcher-Powell和Saad-Schultz)仅进行了讨论。因此,特征问题在许多主题中都得到了应用。讨论的应用包括求解贝塞尔方程、亥姆霍兹方程、拉普拉斯方程、勒让德方程、泊松方程和Schrödinger方程。给出了第一主成分的提取算法。
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引用次数: 0
Exiting Inflation with a Smooth Scale Factor 以平滑比例系数退出通货膨胀
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112042
Harry Oslislo, Brett Altschul
The expectation that the physical expansion of space occurs smoothly may be expressed mathematically as a requirement for continuity in the time derivative of the metric scale factor of the Friedmann–Robertson–Walker cosmology. We explore the consequences of imposing such a smoothness requirement, examining the forms of possible interpolating functions between the end of inflation and subsequent radiation- or matter-dominated eras, using a straightforward geometric model of the interpolating behavior. We quantify the magnitude of the cusp found in a direct transition from the end of slow-roll inflation to the subsequent era, analyze the validity of several smooth interpolator candidates, and investigate equation-of-state and thermodynamic constraints. We find an order-of-magnitude increase in the size of the universe at the end of the transition to a single-component radiation or matter era. We also evaluate the interpolating functions in terms of the standard theory of preheating and determine the effect on the number of bosons produced.
对空间的物理膨胀顺利发生的期望,可以用数学方法表示为弗里德曼-罗伯逊-沃克宇宙学的度量尺度因子的时间导数的连续性要求。我们探讨了施加这样一个平滑要求的后果,使用插值行为的一个简单的几何模型,检查了暴胀结束和随后的辐射或物质主导时代之间可能的插值函数的形式。我们量化了从慢滚膨胀结束到后续时代的直接过渡中发现的尖点的大小,分析了几个光滑插值候选器的有效性,并研究了状态方程和热力学约束。我们发现,在过渡到单组分辐射或物质时代结束时,宇宙的大小增加了一个数量级。我们还根据标准的预热理论评估了插值函数,并确定了对产生的玻色子数量的影响。
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引用次数: 0
A Shape Preserving Class of Two-Frequency Trigonometric B-Spline Curves 一类双频三角b样条曲线的保形性
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112041
Gudrun Albrecht, Esmeralda Mainar, Juan Manuel Peña, Beatriz Rubio
This paper proposes a new approach to define two frequency trigonometric spline curves with interesting shape preserving properties. This construction requires the normalized B-basis of the space U4(Iα)=span{1,cost,sint,cos2t,sin2t} defined on compact intervals Iα=[0,α], where α is a global shape parameter. It will be shown that the normalized B-basis can be regarded as the equivalent in the trigonometric space U4(Iα) to the Bernstein polynomial basis and shares its well-known symmetry properties. In fact, the normalized B-basis functions converge to the Bernstein polynomials as α→0. As a consequence, the convergence of the obtained piecewise trigonometric curves to uniform quartic B-Spline curves will be also shown. The proposed trigonometric spline curves can be used for CAM design, trajectory-generation, data fitting on the sphere and even to define new algebraic-trigonometric Pythagorean-Hodograph curves and their piecewise counterparts allowing the resolution of C(3 Hermite interpolation problems.
本文提出了一种定义具有有趣保形特性的两频三角样条曲线的新方法。这种构造需要空间U4(Iα)=span{1,cost,sint,cos2t,sin2t}的归一化b基,定义在紧区间Iα=[0,α]上,其中α是一个全局形状参数。将证明归一化的b基在三角空间U4(Iα)中可视为伯恩斯坦多项式基的等价,并具有其众所周知的对称性。事实上,当α→0时,归一化b基函数收敛于Bernstein多项式。因此,所得到的分段三角曲线收敛于一致的四次b样条曲线也将得到证明。所提出的三角样条曲线可用于凸轮设计、轨迹生成、球面上的数据拟合,甚至可以定义新的代数-三角毕达哥拉斯-霍图曲线及其分段对应曲线,从而解决C(3) Hermite插值问题。
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引用次数: 0
Weight Optimization Decision Algorithm in (p,q)-Rung Probabilistic Hesitant Orthopair Fuzzy Environments (p,q)阶概率犹豫正交模糊环境下的权重优化决策算法
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112043
Jinyan Bao, Xiangzhi Kong
Aiming at the fuzzification of a decision environment and the challenge of determining the weights associated with the interaction among decision-makers, this study offers an original method for (p,q)-rung probabilistic hesitant orthopair fuzzy multi-objective group decision-making, which is founded on the weight optimization principle. Firstly, the notion of a probabilistic hesitant fuzzy set is expanded to a (p,q)-rung. Secondly, the determination of subjective and objective weights is accomplished through the utilization of the Analytic Network Process (ANP) and the Entropy Method. According to the degree of deviation and dispersion of each weight, an optimal objective function is constructed, and the neural network is used to iteratively solve for the best scheme of the comprehensive weight. Subsequently, the Elimination Et Choice Translating Reality (ELECTRE) approach was refined and applied to decision-making in the (p,q)-rung probabilistic hesitant orthopair fuzzy environment. Finally, comparative analysis was used to demonstrate the new method’s effectiveness and superiority.
针对决策环境的模糊化和决策者之间相互作用所带来的权重确定难题,提出了一种基于权重优化原理的(p,q)阶概率犹豫型模糊多目标群体决策的新颖方法。首先,将概率犹豫模糊集的概念扩展为a (p,q)-rung。其次,利用网络分析过程(ANP)和熵值法确定主客观权重;根据各权重的偏离度和离散度,构造最优目标函数,利用神经网络迭代求解综合权重的最佳方案。在此基础上,对消除选择转换现实(ELECTRE)方法进行了改进,并将其应用于(p,q)阶概率犹豫型模糊环境下的决策。最后通过对比分析验证了新方法的有效性和优越性。
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引用次数: 0
Residual Tsallis Entropy and Record Values: Some New Insights 残差Tsallis熵和记录值:一些新的见解
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112040
Mansour Shrahili, Mohamed Kayid
Recently, the uncertainty aspects of record values have been increasingly studied in the literature. In this paper, we study the residual Tsallis entropy of upper record values coming from random samples. In the continuous case, we define the Tsallis entropy quantity for the residual lifetime of upper record values in general distributions as the residual Tsallis entropy of upper record values coming from a uniform distribution. We also obtain a lower bound on the residual Tsallis entropy of upper data set values originating from an arbitrary continuous probability distribution. We also discuss the monotonic property of the residual Tsallis entropy of upper data sets.
近年来,文献对记录值的不确定度进行了越来越多的研究。本文研究了随机样本上记录值的残差Tsallis熵。在连续情况下,我们将一般分布中上部记录值的剩余寿命的Tsallis熵量定义为来自均匀分布的上部记录值的剩余Tsallis熵。我们还得到了源自任意连续概率分布的上数据集值的残差Tsallis熵的下界。讨论了上数据集残差Tsallis熵的单调性。
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引用次数: 0
Scheduling Scientific Workflow in Multi-Cloud: A Multi-Objective Minimum Weight Optimization Decision-Making Approach 多云环境下科学工作流调度:一种多目标最小权优化决策方法
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112047
Mazen Farid, Heng Siong Lim, Chin Poo Lee, Rohaya Latip
One of the most difficult aspects of scheduling operations on virtual machines in a multi-cloud environment is determining a near-optimal permutation. This task requires assigning various computing jobs with competing objectives to a collection of virtual machines. A significant number of NP-hard problem optimization methods employ multi-objective algorithms. As a result, one of the most successful criteria for discovering the best Pareto solutions is Pareto dominance. In this study, the Pareto front is calculated using a novel multi-objective minimum weight approach. In particular, we use particle swarm optimization (PSO) to expand the FR-MOS multi-objective scheduling algorithm by using fuzzy resource management to maximize variety and obtain optimal Pareto convergence. The competing objectives include reliability, cost, utilization of resources, risk probability, and time makespan. Most of the previous studies provide numerous symmetry or equivalent solutions as trade-offs for different objectives, and selecting the optimum solution remains an issue. We propose a novel decision-making strategy named minimum weight optimization (MWO). Multi-objective algorithms use this method to select a set of permutations that provide the best trade-off between competing objectives. MWO is a suitable choice for attaining all optimal solutions, where both the needs of consumers and the interests of service providers are taken into consideration. (MWO) aims to find the best solution by comparing alternative weights, narrowing the search for an optimal solution through iterative refinement. We compare our proposed method to five distinct decision-making procedures using common scientific workflows with competing objectives: Pareto dominance, multi-criteria decision-making (MCDM), linear normalization I, linear normalization II, and weighted aggregated sum product assessment (WASPAS). MWO outperforms these strategies according to the results of this study.
在多云环境中,调度虚拟机上的操作最困难的一个方面是确定接近最优的排列。此任务需要将具有竞争目标的各种计算作业分配给一组虚拟机。大量的np困难问题优化方法采用多目标算法。因此,发现最佳帕累托解决方案的最成功标准之一是帕累托优势。在本研究中,使用一种新颖的多目标最小权值方法计算帕累托前沿。特别地,我们利用粒子群优化(PSO)对FR-MOS多目标调度算法进行扩展,利用模糊资源管理使品种最大化并获得最优Pareto收敛。竞争目标包括可靠性、成本、资源利用率、风险概率和时间跨度。大多数先前的研究提供了许多对称或等效的解决方案作为不同目标的权衡,选择最优解决方案仍然是一个问题。提出了一种新的决策策略——最小权值优化。多目标算法使用这种方法在竞争目标之间选择一组提供最佳权衡的排列。在兼顾消费者的需要和服务提供者的利益的情况下,MWO是达到所有最优解决方案的合适选择。(MWO)的目的是通过比较备选权值来找到最佳解,通过迭代细化来缩小最优解的搜索范围。我们将我们提出的方法与五种不同的决策过程进行比较,这些决策过程使用具有竞争目标的常见科学工作流程:帕累托支配、多标准决策(MCDM)、线性归一化I、线性归一化II和加权总和产品评估(WASPAS)。根据本研究的结果,MWO优于这些策略。
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引用次数: 0
Bipolar Fuzzy Multi-Criteria Decision-Making Technique Based on Probability Aggregation Operators for Selection of Optimal Artificial Intelligence Framework 基于概率聚合算子的双极模糊多准则决策技术优选人工智能框架
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112045
Yanhua Chen, Ubaid ur Rehman, Tahir Mahmood
Artificial intelligence (AI) frameworks are essential for development since they offer pre-built tools and libraries that speed up and simplify the production of AI models, leveraging symmetry to save time and effort. They guarantee effective computing by modifying code for particular hardware, facilitating quicker testing and deployment. The identification of a suitable and optimal AI framework for development is a multi-criteria decision-making (MCDM) dilemma, where the considered AI frameworks for development are evaluated by considering various criteria and these criteria may have dual aspects (positive and negative). Thus, in this manuscript, we diagnosed a technique of MCDM within the bipolar fuzzy set (BFS) for identification and selection of optimal AI framework for development. In this regard, we diagnosed probability aggregation operators (AOs) within BFS, such as probability bipolar fuzzy weighted averaging (P-BFWA), probability bipolar fuzzy ordered weighted averaging (P-BFOWA), immediate probability bipolar fuzzy ordered weighted averaging (IP-BFOWA), probability bipolar fuzzy weighted geometric (P-BFWG), probability bipolar fuzzy ordered weighted geometric (P-BFOWH), and immediate probability bipolar fuzzy ordered weighted geometric (IP-BFOWG) operators. The diagnosed technique would be based on these invented probably AOs. Afterward, in this manuscript, we took a case study and obtained the optimal AI framework for development by employing the diagnosed technique of MCDM. We also investigated the comparison of the devised theory with certain prevailing theories to reveal the dominance and significance of the devised theory.
人工智能(AI)框架对于开发至关重要,因为它们提供了预先构建的工具和库,可以加速和简化人工智能模型的生产,利用对称性节省时间和精力。它们通过修改特定硬件的代码来保证有效的计算,促进更快的测试和部署。确定适合和最佳的人工智能发展框架是一个多标准决策(MCDM)困境,其中考虑的人工智能发展框架是通过考虑各种标准来评估的,这些标准可能具有双重方面(积极和消极)。因此,在本文中,我们在双极模糊集(BFS)中诊断了MCDM技术,用于识别和选择最优的AI开发框架。在这方面,我们诊断了BFS中的概率聚合算子,如概率双极模糊加权平均(P-BFWA)、概率双极模糊有序加权平均(P-BFOWA)、即时概率双极模糊有序加权平均(IP-BFOWA)、概率双极模糊加权几何(P-BFWG)、概率双极模糊有序几何(P-BFOWH)和即时概率双极模糊有序加权几何(IP-BFOWG)算子。诊断技术将基于这些可能发明的AOs。随后,在本文中,我们通过案例研究,利用MCDM诊断技术获得了最优的AI开发框架。我们还研究了设计理论与某些流行理论的比较,以揭示设计理论的主导地位和意义。
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引用次数: 0
Covariant Integral Quantization of the Semi-Discrete SO(3)-Hypercylinder 半离散SO(3)-超柱的协变积分量化
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112044
Jean-Pierre Gazeau, Romain Murenzi
Covariant integral quantization with rotational SO(3) symmetry is established for quantum motion on this group manifold. It can also be applied to Gabor signal analysis on this group. The corresponding phase space takes the form of a discrete-continuous hypercylinder. The central tool for implementing this procedure is the Weyl–Gabor operator, a non-unitary operator that operates on the Hilbert space of square-integrable functions on SO(3). This operator serves as the counterpart to the unitary Weyl or displacement operator used in constructing standard Schrödinger–Glauber–Sudarshan coherent states. We unveil a diverse range of properties associated with the quantizations and their corresponding semi-classical phase-space portraits, which are derived from different weight functions on the considered discrete-continuous hypercylinder. Certain classes of these weight functions lead to families of coherent states. Moreover, our approach allows us to define a Wigner distribution, satisfying the standard marginality conditions, along with its related Wigner transform.
建立了该群流形上量子运动的旋转SO(3)对称协变积分量子化。该方法也可应用于该群体的Gabor信号分析。相应的相空间采用离散-连续超柱的形式。实现这一过程的核心工具是Weyl-Gabor算子,它是一种非酉算子,作用于SO(3)上平方可积函数的Hilbert空间。该算子与用于构造标准Schrödinger-Glauber-Sudarshan相干态的酉Weyl或位移算子相对应。我们揭示了与量化及其相应的半经典相空间肖像相关的各种性质,这些性质是由所考虑的离散-连续超柱上的不同权函数导出的。这些权函数的某些类别导致相干态族。此外,我们的方法允许我们定义一个Wigner分布,满足标准的边际性条件,以及相关的Wigner变换。
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引用次数: 0
Third Hankel Determinant for Subclasses of Analytic and m-Fold Symmetric Functions Involving Cardioid Domain and Sine Function 涉及心域和正弦函数的解析函数和m-Fold对称函数子类的第三汉克尔行列式
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-10 DOI: 10.3390/sym15112039
Ayman Alahmade, Zeeshan Mujahid, Ferdous M. O. Tawfiq, Bilal Khan, Nazar Khan, Fairouz Tchier
In this research, we define a few subclasses of analytic functions which are connected to sine functions and the cardioid domain in the unit disk. We investigate initial coefficient bounds, the Fekete–Szego problem and second and third Hankel determinants for the functions f belonging to these newly defined classes. We also define the class of m-fold symmetric functions related with the sine function and then investigate the bounds of the third Hankel determinant for twofold symmetric and threefold symmetric functions.
在此研究中,我们定义了几个解析函数的子类,它们与单位圆盘上的正弦函数和心域相联系。我们研究了这些新定义的函数f的初始系数界、Fekete-Szego问题以及第二和第三Hankel行列式。我们还定义了一类与正弦函数相关的m重对称函数,然后研究了两重对称和三重对称函数的第三汉克尔行列式的界。
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引用次数: 0
Proposed Theorems on the Lifts of Kenmotsu Manifolds Admitting a Non-Symmetric Non-Metric Connection (NSNMC) in the Tangent Bundle 切线束中允许非对称非度量连接(NSNMC)的Kenmotsu流形的提定理
3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-11-09 DOI: 10.3390/sym15112037
Rajesh Kumar, Lalnunenga Colney, Mohammad Nazrul Islam Khan
The main aim of the proposed paper is to investigate the lifts of Kenmotsu manifolds that admit NSNMC in the tangent bundle. We investigate several properties of the lifts of the curvature tensor, the conformal curvature tensor, and the conharmonic curvature tensor of Kenmotsu manifolds that admit NSNMC in the tangent bundle. We also study and discover that the lift of the Kenmotsu manifold that admit NSNMC is regular in the tangent bundle. Additionally, we find that the data provided by the lift of Ricci soliton on the lift of Ricci semi-symmetric Kenmotsu manifold that admits NSNMC in the tangent bundle are expanding.
本文的主要目的是研究在切线束中允许NSNMC的Kenmotsu流形的提升。我们研究了在切束中允许NSNMC的Kenmotsu流形的曲率张量、共形曲率张量和共调和曲率张量的张量的几个性质。我们还研究并发现了允许NSNMC的Kenmotsu流形的升力在切线束中是正则的。此外,我们还发现Ricci孤子的升力在Ricci半对称Kenmotsu流形的升力上所提供的数据在切束中允许NSNMC的升力上是扩展的。
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引用次数: 0
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Symmetry-Basel
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