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| 1 | Construction of bivariate compactly supported biorthogonal box spline wavelets with arbitrarily high regularities显示文摘 | He Wenjie Lai Mingjun | 1999 | Appl Comput Harmon Anal1999，6，： | 1 |
| 2 | Construction of bivariate compactly supported biorthogonal box spline wavelets with arbitrarily high regularities显示文摘 | He Wenjie Lai Mingjun | 1999 | Appl Comput Harmon Anal1999，6，： | 1 |
| 3 | Accuracy analysis of a multi-loop linkage with joint clearances 显示文摘 | TSAI Mingjune LAI Tienhsing | 2008 | Mechanism and Machine Theory2008，43，9： | 1 |
| 4 | Energy Minimization Method for Scattered Data Hermite Interpolation 显示文摘 | ZHOU Tianhe HAN Danfu LAI Mingjun | 2008 | Applied Numerical Mathematics2008，58，： | 1 |
| 5 | Convergence of local variational spline interpolation显示文摘 | KERSEY S LAI Mingjun | 2008 | J Math Anal Appl2008，341，： | 1 |
| 6 | Example of bivariate nonseperable compactly supported orthonormal continuous wavelet显示文摘 | Wenjie He Mingjun Lai | 1997 | Proceeding of SPIE1997，3169，： | 1 |
| 7 | Construction of bivariate compactly supported biorthogonal box spline wavelets with arbitrarily high regularities显示文摘 | HE Wenjie LAI Mingjun | 1999 | Appl Comput Harmon Anal1999，6，： | 1 |
| 8 | Example of Bivariate Nonseperable Compactly Supported Orthonor- mal Continuous Wavelet显示文摘 | He Wenjie and Lai Mingjun | 1997 | Applications in Signal and Image Processing IV Proceeding of SPIE1997，3169，： | 1 |
| 9 | Construction of bivariate compactly supported biorthogonal box spline wavelets with arbitrarily high regularities显示文摘 | He Wenjie and Lai Mingjun | 1999 | Applied comput Harmonic Analysis1999，6，： | 1 |
| 10 | Examples of bivarite nonseparable compactly supported orthonormal continuous wavelets 显示文摘 | He Wenjie Lai Mingjun | 2000 | IEEE Trans Inform Theory2000，9，5： | 1 |
| 11 | Trends and Uncertainties in Surface Air Temperature over the Tibetan Plateau,1951–2013显示文摘Trends and uncertainties of surface air temperature over the Tibetan Plateau(TP)are evaluated by using observations at 100 meteorological stations during the period 1951–2013.The sampling error variances of gridded monthly data are estimated for every month and every grid box of data.The gridded data and their sampling error variances are used to calculate TP averages,their trends,and associated uncertainties.It is shown that large sampling error variances dominate northern and western TP,while small variances appear over southern and eastern TP.Every month from January to December has a positive linear trend during the study period.February has the largest trend of 0.34±0.18°C(10 yr)^(–1),and April the smallest at 0.15±0.11°C(10 yr)^(–1).The uncertainties decrease steadily with time,implying that they are not large enough to alter the TP warming trend. | Wei HUA Guangzhou FAN Yiwei ZHANG Lihua ZHU Xiaohang WEN Yongli ZHANG Xin LAI Binyun WANG Mingjun ZHANG Yao HU Qiuyue WU | 2017 | Journal of Meteorological Research2017，31，2： | 1 |
| 12 | Filling polygonal holes using C1 cubic triangular spline patches显示文摘 | Chui Charles K Lai Mingjun | 2000 | Computer Aided Geometric Design2000，17，4： | 1 |
| 13 | Energy minimization method for scattered data hermite interpolation显示文摘 | Zhou Tianhe Han Dafu Lai Mingjun | 2008 | Applied Numerical Mathematics2008，58，： | 1 |
| 14 | A SERENDIPITY FAMILY 0F LOCALLY SUPPORTED SPLINES IN S_8~2(△)显示文摘For a given triangulation Δ of a region R of interest, let S82(Δ): = {s∈C2(R): s|1∈P8,l∈Δ}be the space of all splines of degree 8 and smoothness 2, where t denotes any triangle of Δ and P8 thespace of polynomials of total degree≤8. Furthermore, let S82(Δ):={s∈S83(Δ):s∈C3 at v, v∈Δ}be a super spline subspace of S82(Δ). We construel a collection of locally supported splines in S82(Δ)which can be used to achieve lhe full approximation order of S82(Δ) and its cardinalily is less than the di-mension of super spline space space S82(Δ). | Lai Mingjun The University of Georgia, USA Department of Mathematics The University of Georgia Athens,GA 30602 U.S.A | 1994 | Analysis in Theory and Applications1994，10，2： | 0 |
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