This work is licensed under the Creative Commons Attribution 4.0 International License.
Yoku A, S Gülbahar. Numerical Solutions with Linearization Techniques of the Fractional Harry Dym Equation[J]. Applied Mathematics and Nonlinear Sciences, 2019, 4(1):35–42.YokuAGülbaharSNumerical Solutions with Linearization Techniques of the Fractional Harry Dym Equation[J]Applied Mathematics and Nonlinear Sciences2019413542Search in Google Scholar
Efremova L S. Small C1-smooth perturbations of skew products and the partial integrability property[J]. Applied Mathematics and Nonlinear Sciences, 2020, 5(2):317–328.EfremovaL SSmall C1-smooth perturbations of skew products and the partial integrability property[J]Applied Mathematics and Nonlinear Sciences202052317328Search in Google Scholar
Lin B, Tian P. The energy rebound effect in China's light industry: a translog cost function approach[J]. Journal of Cleaner Production, 2016, 112(JAN.20PT.4):2793–2801.LinBTianPThe energy rebound effect in China's light industry: a translog cost function approach[J]Journal of Cleaner Production2016112JAN.20PT.427932801Search in Google Scholar
Lin B, Ahmad I. Technical change, inter-factor and inter-fuel substitution possibilities in Pakistan: a trans-log production function approach[J]. Journal of Cleaner Production, 2016, 126(jul.10):537–549.LinBAhmadITechnical change, inter-factor and inter-fuel substitution possibilities in Pakistan: a trans-log production function approach[J]Journal of Cleaner Production2016126jul.10537549Search in Google Scholar
Fiorito G, van den Bergh, Jeroen C. J. M. Capital-energy substitution in manufacturing for seven OECD countries: learning about potential effects of climate policy and peak oil[J]. Energy Efficiency, 2016, 9(1):49–65.FioritoGvan den BerghJeroenC. J. M.Capital-energy substitution in manufacturing for seven OECD countries: learning about potential effects of climate policy and peak oil[J]Energy Efficiency2016914965Search in Google Scholar
Wang J, Yang L. Does factor endowment allocation improve technological innovation performance? An empirical study on the Yangtze River Delta region[J]. The Science of the Total Environment, 2020, 716(May10):137107.1-137107.10.WangJYangLDoes factor endowment allocation improve technological innovation performance? An empirical study on the Yangtze River Delta region[J]The Science of the Total Environment2020716May10137107.1137107.10Search in Google Scholar
Ailon N. An Omega((n log n)/R) Lower Bound for Fourier Transform Computation in the R-Well Conditioned Model[J]. Acm Transactions on Computation Theory, 2016, 8(1):1–14.AilonNAn Omega((n log n)/R) Lower Bound for Fourier Transform Computation in the R-Well Conditioned Model[J]Acm Transactions on Computation Theory201681114Search in Google Scholar
Ram E, Sason I. On Renyi Entropy Power Inequalities[J]. IEEE Transactions on Information Theory, 2016, PP(99):1–1.RamESasonIOn Renyi Entropy Power Inequalities[J].IEEE Transactions on Information Theory2016PP9911Search in Google Scholar
Kortanek K O, Zhu J. New purification algorithms for linear programming[J]. Naval Research Logistics, 2015, 35(4):571–583.KortanekK OZhuJNew purification algorithms for linear programming[J]Naval Research Logistics2015354571583Search in Google Scholar
Sarkar P, Singh S. Fine Tuning the Function Field Sieve Algorithm for the Medium Prime Case[J]. IEEE Transactions on Information Theory, 2016, 62(4):2233–2253.SarkarPSinghSFine Tuning the Function Field Sieve Algorithm for the Medium Prime Case[J]IEEE Transactions on Information Theory201662422332253Search in Google Scholar
Peng S, Qu C, Li J, et al. Regularization parameter estimation for point-based synthetic aperture radar image feature enhancement based on Mellin transform[J]. Journal of Applied Remote Sensing, 2017, 11(4):1.PengSQuCLiJRegularization parameter estimation for point-based synthetic aperture radar image feature enhancement based on Mellin transform[J]Journal of Applied Remote Sensing20171141Search in Google Scholar