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Conjugated Gradient with Four Terms for Nonlinear Unconstrained Optimization 非线性无约束优化的四项共轭梯度
Pub Date : 2022-03-01 DOI: 10.31559/glm2022.12.1.5
A. Mustafa
The nonlinear conjugate gradient (GJG) technique is an effective tool for addressing minimization on a huge scale. It can be used in a variety of applications., We presented a novel conjugate gradient approach based on two hypotheses, and we equalized the two hypotheses and retrieved the good parameter in this article. To get a new conjugated gradient, we multiplied the new parameter by a control parameter and substituted it in the second equation. a fresh equation for 𝛽𝑘 is proposed. It has global convergence qualities. When compared to the two most common conjugate gradient techniques, our algorithm outperforms them in terms of both the number of iterations (NOIS) and the number of functions (NOFS). The new technique is efficient in real computing and superior to previous comparable approaches in many instances, according to numerical results.
非线性共轭梯度(GJG)技术是解决大规模最小化问题的有效工具。它可以用于各种应用。本文提出了一种基于两个假设的共轭梯度方法,并对两个假设进行了均衡化,得到了较好的参数。为了得到一个新的共轭梯度,我们将新参数乘以一个控制参数,并代入第二个方程。提出了一个新的关于时延时延的方程。它具有全局收敛的特性。与两种最常见的共轭梯度技术相比,我们的算法在迭代次数(NOIS)和函数数量(NOFS)方面都优于它们。数值结果表明,新方法在实际计算中是有效的,在许多情况下优于以前的类似方法。
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引用次数: 0
Taylor approximation for solving linear and nonlinear Ill-Posed Volterra equations via an iteration method 迭代法求解线性和非线性病态Volterra方程的Taylor近似
Pub Date : 2021-12-01 DOI: 10.31559/glm2021.11.2.1
Somia Guechi, Moufida Guechi
In this paper, we present two algorithms for the approximate or exact solution of a class of Volterra integral equations of first kind. As well known, this is an ill posed problem, but we convert it to well-posedness of the second kind Volterra problems, then we apply the variational iteration method. Finally, we present two examples which show the performance and effciency of our method.
本文给出了求解一类Volterra积分方程近似解或精确解的两种算法。众所周知,这是一个不适定问题,但我们将其转化为第二类Volterra问题的适定性,然后应用变分迭代法。最后,给出了两个实例,验证了该方法的性能和效率。
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引用次数: 2
On A Certain Subclass Of Analytic Functions Defined By Linear Operator 关于由线性算子定义的解析函数的一个子类
Pub Date : 2021-12-01 DOI: 10.2478/gm-2021-0014
B. Venkateswarlu, P. Reddy, Santosh M. Popade, R. N. Ingle
Abstract In this paper, we introduce and study a new class k − ŨSs(a, c, µ, γ, t) of analytic functions in the open unit disc U with negative coefficients and obtain coefficient estimates, neighborhoods and partial sums for functions f belonging to this class.
摘要本文引入并研究了开放单元盘U上具有负系数的解析函数k−ŨSs(a, c,µ,γ, t)的新类,得到了该类函数f的系数估计、邻域和部分和。
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引用次数: 0
Bohr Radius for Goodman-Ronning Type Harmonic Univalent Functions Goodman-Ronning型调和一元函数的玻尔半径
Pub Date : 2021-12-01 DOI: 10.2478/gm-2021-0018
S. Varma, T. Rosy
Abstract In this paper we obtain the sharp Bohr radius, Bohr-Rogosinski radius, improved Bohr-radius and refined Bohr radius for the functions in the class GH¯0(γ) G_{bar H}^0left( gamma right) of Goodman-Ronning type harmonic univalent functions with negative coeffcients.
摘要本文得到了具有负系数的Goodman-Ronning型调和一元函数GH¯0(γ) G_ {bar H}^0left (gammaright)类函数的急剧Bohr半径、Bohr- rogosinski半径、改进Bohr半径和改进Bohr半径。
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引用次数: 0
Asymptotic Results of a Nonparametric Conditional Quantile Estimator in the Single Functional Index Modeling under Random Censorship 随机约束下单函数指标建模中一种非参数条件分位数估计的渐近结果
Pub Date : 2021-12-01 DOI: 10.2478/gm-2021-0020
Nadia Kadiri, A. Rabhi, Fatima Akkal
Abstract The main objective of this paper is to estimate non-parametrically the quantiles of a conditional distribution based on the single-index model in the censorship model when the sample is considered as an independent and identically distributed (i.i.d.) random variables. First of all, a kernel type estimator for the conditional cumulative distribution function (cond-cdf) is introduced. Afterwards, we give an estimation of the quantiles by inverting this estimated cond-cdf, the asymptotic properties are stated when the observations are linked with a single-index structure. Simulation study is also presented to illustrate the validity and finite sample performance of the considered estimator. Finally, the estimation of the functional index via the pseudo-maximum likelihood method is discussed, but not tackled.
摘要本文的主要目的是在审查模型中,当样本被视为独立同分布(i.i.d)随机变量时,基于单指标模型估计条件分布的非参数分位数。首先,介绍了条件累积分布函数(cond-cdf)的核估计量。然后,我们通过对估计的cond-cdf进行反求,给出了分位数的估计,并说明了当观测值与单指标结构相联系时的渐近性质。仿真研究也证明了所考虑的估计器的有效性和有限样本性能。最后,讨论了伪极大似然法对函数指标的估计,但没有解决。
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引用次数: 0
(p, q)–derivative on univalent functions associated with subordination structure 具有从属结构的一元函数的(p, q) -导数
Pub Date : 2021-12-01 DOI: 10.2478/gm-2021-0017
S. Najafzadeh
Abstract By means of Jackson’s (p, q)–derivative a new class of univalent functions based on subordination is defined. We evoke some geometric properties such as coefficient estimate, convolution preserving, convexity and radii properties of this class of functions are obtained.
摘要利用Jackson 's (p, q) -导数,定义了一类新的基于隶属关系的单价函数。得到了这类函数的系数估计、保卷积、凸性和半径性等几何性质。
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引用次数: 0
A New Coefficient of Conjugate Gradient Method with Global Convergence for Unconstrained Optimization Problems 无约束优化问题的一种新的全局收敛共轭梯度系数法
Pub Date : 2021-12-01 DOI: 10.31559/glm2021.11.2.3
Mardeen Sh. Taher, S. Shareef
In this article, we defined a new coefficient formula of the conjugate gradient method for solving non linear unconstrained optimization problems. The new formula β new k is type of line search and the idea of our work is to focus on modification the Perry’s suggestion. We further show that global convergence result of new formula is recognized under Wolf-Powell line search. It is shown that the new CG coefficient satisfied sufficient descent conditions. In the end, numerical experiments with the collection of test functions show that the new β new k is more effective compared to some other standard formulas such as β H−S k , β Perry k and β D−Y k .
本文定义了求解非线性无约束优化问题的共轭梯度法的一个新的系数公式。新公式β新k是直线搜索的类型,我们的工作重点是修改佩里的建议。进一步证明了在Wolf-Powell线搜索下,新公式的全局收敛结果是可识别的。结果表明,新的CG系数满足下降的充分条件。最后,用测试函数集合进行了数值实验,结果表明,与β H−S k、β Perry k和β D−Y k等标准公式相比,new β new k更为有效。
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引用次数: 0
On Certain Subclass of Starlike Functions with Negative Coefficients Associated with Erdelyi-Kober Integral Operator 关于与Erdelyi-Kober积分算子相关的负系数星形函数的某些子类
Pub Date : 2021-12-01 DOI: 10.2478/gm-2021-0015
S. Prathiba, T. Rosy
Abstract In this research article, making use of Erdelyi-Kober integral operator, we define a new subclass Ta,cµ(α, β, γ, A, B) of starlike functions with negative coefficient. Various properties like coefficient estimates, neighbourhood results, integral means, partial sums and subordination results are examined for this class.
摘要本文利用Erdelyi-Kober积分算子,定义了具有负系数的星形函数的新子类Ta,cµ(α, β, γ, a, B)。各种性质,如系数估计,邻域结果,积分均值,部分和和从属的结果检查了这类。
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引用次数: 0
The Fekete-Szego Theorem for Close-to-convex Functions Associated with The Koebe Type Function 与Koebe型函数相关的近凸函数的Fekete-Szego定理
Pub Date : 2021-12-01 DOI: 10.2478/gm-2021-0019
S. Rathi, S. C. Soh
Abstract This paper deals with the class S containing functions which are analytic and univalent in the open unit disc U = {z ∈ ℂ : |z| < 1}. Functions f in S are normalized by f(0) = 0 and f′(0) = 1 and has the Taylor series expansion of the form f(z)=z+∑n=2∞anzn fleft( z right) = z + sumlimits_{n = 2}^infty {{a_n}{z^n}} . In this paper we investigate on the subclass of S of close-to-convex functions denoted as Cgα(λ, δ) where function f ∈ Cgα(λ, δ) satisfies Re{ eiλzf′(z)gα(z) } {mathop{rm Re}nolimits} left{ {{e^{ilambda }}{{zf'left( z right)} over {galpha left( z right)}}} right} for | λ | δ, 0 ≤ δ < 1, 0 ≤ α ≤ 1 and gα=z(1−αz)2 {g_alpha } = {z over {{{left( {1 - alpha z} right)}^2}}} . The aim of the present paper is to find the upper bound of the Fekete-Szego functional |a3 − µa22| for the class Cgα(λ, δ). The results obtained in this paper is significant in the sense that it can be used in future research in this field, particularly in solving coefficient inequalities such as the Hankel determinant problems and also the Fekete-Szego problems for other subclasses of univalent functions.
摘要研究了开单位圆盘U = {z∈:|z| < 1}上含有一元解析函数的S类。S中的函数f归一化为f(0) = 0和f '(0) = 1,其泰勒级数展开式为f(z)=z+∑n=2∞和zn f left (z right)=z+ sumlimits _n =2{ ^ }infty a_nz{{^n}{。本文研究了近似凸函数S的子类Cgα(λ, δ),其中函数f∈Cgα(λ, δ)满足Re - λzf ' (z)}}gα(z) {}{mathop{rm Re}nolimits}left {{{e^{i lambda zf'}}{{left (z right) }over g{alphaleft (z right) }}}right}对于| λ | δ, 0≤δ < 1,0≤α≤1,gα=z(1−αz)2 {g_alpha =}z {over{{{left ({1 -alpha z }right)}^2}}}。本文的目的是求一类Cgα(λ, δ)的Fekete-Szego泛函|a3−µa22|的上界。本文得到的结果具有重要意义,可以用于该领域的未来研究,特别是在求解系数不等式如Hankel行列式问题和其他一元函数子类的Fekete-Szego问题方面。
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引用次数: 0
Approximating intuitionistic fuzzy fractals by densifiability techniques 用密度技术逼近直觉模糊分形
Pub Date : 2021-12-01 DOI: 10.2478/gm-2021-0011
G. García
Abstract We present a sequence of sets converging, under suitable conditions and respect to the Hausdorff intuitionistic fuzzy metric, to the attractor set of certain intuitionistic fuzzy iterated function systems. For this goal, we will introduce a fuzzy version of the so called α-dense curves which have been used by the author to approximate, with arbitrarily small and controlled error, the attractor set of certain (metric) iterated function systems. In this way, we relate the above mentioned concepts of the intuitionistic fuzzy metric spaces with the α-density theory.
摘要在适当的条件下,在Hausdorff直觉模糊度量下,给出了收敛于某些直觉模糊迭代函数系统的吸引子集的集合序列。为了达到这个目的,我们将引入一个模糊版本的所谓α-密集曲线,作者已经用它来近似某些(度量)迭代函数系统的吸引子集,误差任意小且可控。这样,我们将上述直觉模糊度量空间的概念与α-密度理论联系起来。
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引用次数: 0
期刊
General Letters in Mathematics
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