Results 1 to 10 of about 22,098 (307)
The Directional Derivative in General Quantum Calculus
Symmetry, 2022 In this paper, we define the β-partial derivative as well as the β-directional derivative of a multi-variable function based on the β-difference operator, Dβ, which is defined by Dβf(t)=f(β(t))−f(t)/β(t)−t, where β is a strictly increasing continuous function. Some properties are proved. Furthermore, the β-gradient vector and the β-gradient directional
Enas M Shehata +2 more
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Fast Corner Detection Using Approximate Form of Second-Order Gaussian Directional Derivative
IEEE Access, 2020 High-efficiency image corner detection, one of the most important and critical basic technology in industrial image processing, is to detect point features from an input image in real-time.
Tian Gao +5 more
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Alexandria Engineering Journal, 2021 This work is reported the analytical solutions for describing the nonlinear directional couplers with metamaterials by including spatial–temporal fractional beta derivative evolution.
M.F. Uddin +4 more
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A Partial Derivative Approach to the Change of Scale Formula for the Function Space Integral
Entropy, 2020 We investigate the partial derivative approach to the change of scale formula for the functon space integral and we investigate the vector calculus approach to the directional derivative on the function space and prove relationships among the Wiener ...
Young Sik Kim
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Color Edge Detection Based on Adaptive Directional Derivative Filter [PDF]
Jisuanji gongcheng, 2022 Conventional color edge detection algorithms may detect noise as edges when improving the accuracy of edge detection.While improving the robustness of noise, some edges will be suppressed as noise, resulting in the loss of some edge information.To ...
WANG Fuping, YU Juntao, ZHANG Qieshi
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Mixed and directional derivatives [PDF]
Proceedings of the American Mathematical Society, 1990 Let \(B\) be the space \(L_ p(D)\) \((1\leq ...
Chen, W., Ditzian, Z.
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On an algorithm in nondifferential convex optimization [PDF]
Yugoslav Journal of Operations Research, 2013 In this paper an algorithm for minimization of a nondifferentiable function is presented. The algorithm uses the Moreau-Yosida regularization of the objective function and its second order Dini upper directional derivative. The purpose of the paper is
Đuranović-Miličić Nada I. +1 more
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Direct Synthesis of Pyridine Derivatives [PDF]
Journal of the American Chemical Society, 2007 AbstractChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Mohammad, Movassaghi +2 more
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An algorithm for LC1 optimization [PDF]
Yugoslav Journal of Operations Research, 2005 In this paper an algorithm for LC1 unconstrained optimization problems, which uses the second order Dini upper directional derivative is considered. The purpose of the paper is to establish general algorithm hypotheses under which convergence occurs to ...
Đuranović-Miličić Nada I.
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Generalized derivatives and optimization problems for n-dimensional fuzzy-number-valued functions
Open Mathematics, 2020 In this paper, we present the concepts of generalized derivative, directional generalized derivative, subdifferential and conjugate for n-dimensional fuzzy-number-valued functions and discuss the characterizations of generalized derivative and ...
Xie Ting, Gong Zengtai, Li Dapeng
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