同音
发表于 2025-3-23 12:41:36
Ergebnisse der Chirurgie und OrthopädieLet . be a convex function on .. The associated two variables . . is defined by . In this paper, we establish some basic and double integral inequalities for the perspective function . defined above. Some double integral inequalities in the case of rectangles, squares, and circular sectors are also given.
旧石器时代
发表于 2025-3-23 16:13:36
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lactic
发表于 2025-3-23 20:44:33
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arbiter
发表于 2025-3-24 01:58:25
Rearrangements, ,-Superadditivity and Jensen-Type Inequalities,We deal here with the minimum and the maximum of . and of . obtained by using rearrangement techniques. The results depend on the arrangement of . and are used in proving Jensen-type inequalities.
osteocytes
发表于 2025-3-24 05:27:55
The Asymptotic Expansion for a Class of Convergent Sequences Defined by Integrals,We obtain the complete asymptotic expansion of the sequence defined by ., where the functions . and . satisfy various conditions. The main result is applied in Sect. 4 to find the complete asymptotic expansion of some classical sequences.
惊呼
发表于 2025-3-24 07:10:43
Finite Shift-Invariant Subspaces of Periodic Functions: Characterization, Approximation, and ApplicWe discuss approximations of square integrable periodic functions by their projections in finite shift-invariant subspaces and highlight the role of principal shift invariance. We also show how we may produce a variety of sampling representations based on finite frame theory and we discuss some applications.
钩针织物
发表于 2025-3-24 14:35:49
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GNAW
发表于 2025-3-24 17:59:05
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CT-angiography
发表于 2025-3-24 21:55:46
Hermite-Hadamard-Type Integral Inequalities for Perspective Function,Let . be a convex function on .. The associated two variables . . is defined by . In this paper, we establish some basic and double integral inequalities for the perspective function . defined above. Some double integral inequalities in the case of rectangles, squares, and circular sectors are also given.
易弯曲
发表于 2025-3-25 02:29:53
On the Maximum Value of a Multi-variable Function,In this paper, we find the maximum value of a multi-variable function, related by an optimization problem. Our method of maximizing this function is geometric, without applying the partial derivatives tests and the concept of Hessian matrix.