Strongly MφMψ -Convex Functions, The Hermite–Hadamard–Fejér Inequality and Related Results
We present Hermite–Hadamard–Fejér type inequalities for strongly MφMψ -convex functions. Some refinements of them and bounds for the integral mean of the product of two functions are also obtained.
Bombardelli Mea, Varošanec Sanja
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This article develops new Hermite–Hadamard and Jensen-type inequalities for the class of α,m-convex functions. New product forms of Hermite–Hadamard inequalities are established, covering multiple distinct scenarios.
Shama Firdous +4 more
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Positivity of a Hadamard Product
A notable difference between the ordinary and Hadamard products is that the Hadamard product of two singular positive semidefinite matrices can be nonsingular, and one of the factors can even be indefinite. We present an eigenvalue lower bound for a Hadamard product that depends on the rank, effective condition number, and diagonal entries of one ...
Horn, Roger A. +3 more
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SOME INEQUALITIES OF THE HERMITE HADAMARD TYPE FOR PRODUCT OF TWO FUNCTIONS
Abstaract−In this paper, we shall establish some new inequalities of the Hermite Hadamard type for product of two functions to belong to the class of s-convex functions and the class of h-convex functions.
Nguyen Ngoc Hue, Duong Quoc Huy
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Projective surfaces not as Hadamard products and the dimensions of the Hadamard joins
We study the dimensions of Hadamard products of $k\ge 3$ varieties if we allow to modify $k-1$ of them by the action of a general projective linear transformation. We also prove that the join of a variety not contained in a coordinate hyperplane with a ``nice'' curve always has the expected dimension.
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Enhancing Deep Edge Detection through Normalized Hadamard-Product Fusion. [PDF]
Hu G, Saeli C.
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[Research of electrical impedance tomography based on multilayer artificial neural network optimized by Hadamard product for human-chest models]. [PDF]
Song Z +7 more
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Digital Quantum Simulation of Wavepacket Correlations in a Chemical Reaction. [PDF]
Mohtashim SI, Kais S.
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Point Cloud Classification and Segmentation Network Based on Adaptive Feature Extraction. [PDF]
Deng C +5 more
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Study analytical function subordination properties by applying a novel linear operator. [PDF]
Majel MS, Hameed MI.
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