Results 61 to 70 of about 813,258 (169)
New Bounds on Hermite–Hadamard–Mercer‐Type Inequalities: Applications and Computational Analysis
In mathematical analysis, the theory of inequalities plays a fundamental role due to its wide‐ranging applications in various fields of the physical sciences. In this paper, we develop new Hermite–Hadamard–Mercer‐type inequalities involving a broad class of fractional integral operators, including both classical and Caputo–Fabrizio fractional integrals.
Muhammad Muawwaz +5 more
wiley +1 more source
In this study, we examine the error bounds related to Milne-type inequalities and a widely recognized Newton–Cotes method, originally developed for three-times-differentiable convex functions within the context of Jensen–Mercer inequalities. Expanding on
Arslan Munir +4 more
doaj +1 more source
New Hermite–Jensen–Mercer-type inequalities via k-fractional integrals
In the article, we establish serval novel Hermite–Jensen–Mercer-type inequalities for convex functions in the framework of the k-fractional conformable integrals by use of our new approaches.
Saad Ihsan Butt +4 more
doaj +1 more source
Green’s Function Approach to Hermite–Hadamard–Mercer Type Fractional Inequalities and Applications
The Hermite–Hadamard–Mercer (HHM) inequality, existing in two well‐established forms, plays a fundamental role in mathematical analysis. This inequality is characterized by three distinct components—namely, the left, middle, and right terms. This study is concerned to obtain novel generalized and refined HHM fractional inequalities by employing for the
Muhammad Zafran +6 more
wiley +1 more source
The Hermite-Hadamard inequality is regarded as one of the most favorable inequalities from the research point of view. Currently, mathematicians are working on extending, improving, and generalizing this inequality.
Saeed Tareq +4 more
doaj +1 more source
Projection‐based estimators for matrix/tensor‐valued data
Abstract A general approach for extending estimators to matrix‐ and tensor‐valued data is proposed. The extension is based on using random projections to project out dimensions of a tensor and then computing a multivariate estimator for each projection. The mean of the obtained set of estimates is used as the final, joint estimate. In some basic cases,
Joni Virta +2 more
wiley +1 more source
ABSTRACT We study the target return strategy (TRS), which exits the market once the return reaches a preset target. We show that the holding‐period return (HPR) cannot mean‐variance dominate TRS, but TRS can mean‐variance dominate HPR. We theoretically analyze TRS and quantitatively illustrate that training targets by a mean‐variance utility ...
Ying Xue, Zheng Wen, Xu Jiang
wiley +1 more source
Supporting Literacy Through the Justice and Dialogic Education (JADE) Framework
Justice and Dialogic Education (JADE) Framework: Stances, Value Orientations, and Pedagogical Dispositions. ABSTRACT This paper introduces the Justice and Dialogic Education (JADE) framework, which integrates dialogic instruction with justice‐oriented pedagogies to foster transformative classroom environments.
Rebecca Lee, Shireen Al‐Adeimi
wiley +1 more source
This paper establishes novel Hermite–Hadamard–Mercer inequalities for [Formula: see text]-Riemann–Liouville fractional integrals using the Jensen–Mercer inequality.
Chanon Promsakon +3 more
core +1 more source
A refined form of the Jensen–Mercer inequality has recently been introduced in the literature. Utilizing this improved inequality, we derive several new variants of the Hermite–Hadamard–Mercer type inequality, along with related estimates involving the ...
Eze R. Nwaeze
doaj +1 more source

