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Mathematical foundations of computing最新文献

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Solution of Abel's integral equation by modified Taylor wavelet with error analysis 用修正泰勒小波解阿贝尔积分方程并进行误差分析
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2023009
Shyam Lal, Satish Kumar
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引用次数: 0
Some new inequalities and numerical results of bivariate Bernstein-type operator including Bézier basis and its GBS operator 双变量bernstein型算子的一些新的不等式和数值结果,包括bsamizier基及其GBS算子
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2022045
E. Özkan, Nesibe Nur Akpınar
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引用次数: 1
Asymptotic properties of Kantorovich-type Szász-Mirakjan operators of higher order 高阶kantorovich型Szász-Mirakjan算子的渐近性质
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2023003
U. Abel, O. Agratini, M. Ivan
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引用次数: 1
Preface: Special issue on approximation by linear and nonlinear operators with applications. Part III 前言:关于线性和非线性算子的近似及其应用的专题问题。第三部分
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2022052
D. Costarelli
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引用次数: 0
On the density of translation networks defined on the unit ball 在单位球上定义的平移网络密度
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2023017
Xiaojun Sun, B. Sheng, Lin Liu, X. Pan
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引用次数: 0
Volterra-Fredholm-type integral inequalities for generalized conformable fractional integrals 广义可适分数阶积分的volterra - fredholm型积分不等式
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2023011
Xiaoyue Han, R. Xu
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引用次数: 0
Existence results for some $ psi $-Hilfer iterative approximation 一类$ psi $-Hilfer迭代近似的存在性结果
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2023029
S. Horrigue, Hanan Almuashi, Aishah Abdullah Alnashry
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引用次数: 0
Attention-based destruction and construction learning for infrared object fine-grained categorization 基于注意的红外目标细粒度分类破坏与构建学习
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2022046
Hao-xin Cui, Ran Li, Yan Li, L. Zhang, Bingyang Li
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引用次数: 0
Distributionally robust sparse portfolio optimization model under satisfaction criterion 满足准则下的分布鲁棒稀疏投资组合优化模型
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2023043
Zhongyan Wang, Xiaodong Zhu, Shaojian Qu, M. Faisal Nadeem, Beibei Zhang
We propose a distributionally robust portfolio optimization model with cardinality constraints under the satisfaction criterion. We aim to maximize the probability of achieving the target return of the proposed portfolio selection model while the number of assets the investors hold is limited. For practical significance, we cite a measure of shortfall-aware aspiration level to the portfolio optimization problem and convert it into a CVaR measure. In our model, we consider a worst-case and assume the distribution of returns of assets is ambiguous. We reformulate the CVaR-based measure equivalently to semi-definite programming for its tractability. A Benders' decomposition algorithm is designed to solve the proposed model efficiently. Numerical tests are utilized through actual market data to validate the proposed method. The results indicate that our algorithm can effectively solve the proposed model, and the sparse portfolio selection model under the satisfaction criterion achieves high robustness and perform better than classical models. Furthermore, we prove that taking the number of assets as the decision variable is a much more efficient method.
在满足准则下,提出了一个具有基数约束的分布鲁棒投资组合优化模型。我们的目标是在投资者持有的资产数量有限的情况下,使所提出的投资组合选择模型实现目标收益的概率最大化。从实际意义上讲,我们引入了投资组合优化问题的缺口感知期望水平度量,并将其转化为CVaR度量。在我们的模型中,我们考虑最坏情况,并假设资产收益的分布是模糊的。由于其可追溯性,我们将基于cvar的度量等效地重新表述为半确定规划。设计了一种Benders分解算法来有效求解该模型。通过实际市场数据进行了数值试验,验证了所提方法的有效性。结果表明,我们的算法能够有效地求解所提出的模型,满足条件下的稀疏投资组合模型具有较高的鲁棒性,性能优于经典模型。进一步证明了以资产数量作为决策变量是一种更为有效的方法。
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引用次数: 0
On wavelet type generalized Bézier operators 关于小波型广义bsamizier算子
Q3 COMPUTER SCIENCE, THEORY & METHODS Pub Date : 2023-01-01 DOI: 10.3934/mfc.2022057
H. Karsli
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引用次数: 1
期刊
Mathematical foundations of computing
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