Results 61 to 70 of about 925,484 (287)
KETIDAKSAMAAN PADA FUNGSI Q-GAMMA
, 2012 Alsina and Tomas (2005) discuss about inequaty of the gamma function by geometricalapproach. Sandor (2005) and Baiduri (2008) discuss about some inequalities that involves the gammafunction based on the series representaion of psi function.
., Baiduri
core
Applying the possibilistic C-means algorithm in kernel-induced spaces [PDF]
, 2010 In this paper, we study a kernel extension of the classic possibilistic c-means. In the proposed extension, we implicitly map input patterns into a possibly high-dimensional space by means of positive semidefinite kernels. In this new space, we model the
Masulli, F. +5 more
core +1 more source
2D Abrupt Nano‐Junctions Blending sp–sp2 Bonds on Atomically Precise Heterostructures
Advanced Materials, EarlyView.A lateral heterostructure between atomically precise sp–sp2$^2$ metalated graphdiyne and sp2$^2$ graphene nanoribbons is realized by on‐surface synthesis and investigated by STM and DFT. The impact of on‐surface synthesis byproducts on covalent junction formation yield is unveiled.
Alice Cartoceti +10 more
wiley +1 more source
On gelation for the Smoluchowski coagulation equation
Comptes Rendus. MathématiqueMotivated by the recent results of Andreis–Iyer–Magnanini [2], we provide a short proof, revisiting the one of Escobedo–Mischler–Perthame [7], that for a large class of coagulation kernels, any weak solution to the Smoluchowski equation loses mass in ...
Fournier, Nicolas
doaj +1 more source
On a new Hilbert-type integral inequality involving the upper limit functions
Journal of Inequalities and Applications, 2020 By applying the weight functions and the idea of introduced parameters we give a new Hilbert-type integral inequality involving the upper limit functions and the beta and gamma functions.
Hongmin Mo, Bicheng Yang
doaj +1 more source
Kernel-based clustering via Isolation Distributional Kernel
, 2023 Clustering has become one of the widely used automatic data-labeling techniques applied in a variety of disciplines. Kernel-based clustering is a technique designed to identify non-linearly separable clusters with irregular shapes.
Ye Zhu (13101348), KM Ting (13907250)
core
Asymmetry in Skipping Enhances Viability Against Control Input Noise
Advanced Robotics Research, EarlyView.Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley +1 more source
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators
IEEE Transactions on Pattern Analysis and Machine IntelligenceThe final version of record is available at https://doi.org/10.1109/TPAMI.2024 ...
Patrick Stotko +2 more
openaire +4 more sources