Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yu Jun Gong"'
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 517:5770-5779
Using four mixed bivariate distributions (Normal distribution, Skew-Normal distribution, Student distribution, Skew-Student distribution) and bootstrap re-sampling analysis. We analyse the samples of CGRO/BATSE, Swift/BAT, and Fermi/GBM gamma-ray bur
Publikováno v:
Numerical Algebra, Control & Optimization. 5:185-195
In this paper, by improving the variable-splitting approach, we propose a new semidefinite programming (SDP) relaxation for the nonconvex quadratic optimization problem over the $\ell_1$ unit ball (QPL1). It dominates the state-of-the-art SDP-based b
Publikováno v:
Advanced Materials Research. :318-322
Chemical polishing of Q235 steel workpiece using H2O2as oxidant in chemical polishing solution was studied. The effects of quantity of components such as brightening agent, corrosion inhibitor, and stabilizer as well as the polishing time and polishi
Publikováno v:
Advanced Materials Research. :1604-1608
The shockproof foam (EPE) was screened out as a cheap and efficient oil-absorbing material in this paper. The influences of the particle size, the time of oil-absorbing, the aperture size of waste plastics, oil slick thickness on the oil-absorbing pr
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783642285912
The carbonate reservoir has a sound heterogeneity and low-permeability, which brings certain difficulties to the prediction of the remoulding of the reservoir. The effective comprehensive evaluation method of reservoir plays a significant role in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c314dbd786d4d4be319fd74c12ee764
https://doi.org/10.1007/978-3-642-28592-9_34
https://doi.org/10.1007/978-3-642-28592-9_34
Autor:
Yong Xia, Yu-Jun Gong
Publikováno v:
Asia-Pacific Journal of Operational Research. 32:1550025
We show the recent sufficient global optimality condition for the quadratic constrained bivalent quadratic optimization problem is equivalent to verify the zero duality gap. Then, based on the optimal parametric Lagrangian dual model, we establish im