1 | -- | 6 | Alan J. Hoffman. Gersgorin variations II: On themes of Fan and Gudkov |
7 | -- | 22 | Min Huang. A construction of multiscale bases for Petrov-Galerkin methods for integral equations |
23 | -- | 39 | Rong-Qing Jia, Song-Tao Liu. Wavelet bases of Hermite cubic splines on the interval |
41 | -- | 56 | Ming-Jun Lai. Construction of multivariate compactly supported orthonormal wavelets |
57 | -- | 72 | Byung-Gook Lee, Yeon Ju Lee, Jungho Yoon. Stationary binary subdivision schemes using radial basis function interpolation |
73 | -- | 90 | Dany Leviatan, Vladimir N. Temlyakov. Simultaneous approximation by greedy algorithms |
91 | -- | 104 | Qiaofang Lian, Yongge Wang, Dunyan Yan. A characterization of L:::p:::(R) by local trigonometric bases with 1<::::p::::<infinity |
105 | -- | 133 | Tom Lyche, Marie-Laurence Mazure. Total positivity and the existence of piecewise exponential B-splines |
135 | -- | 160 | Dong Mao, Lihua Shen, Aihui Zhou. Adaptive finite element algorithms for eigenvalue problems based on local averaging type a posteriori error estimates |
161 | -- | 193 | Sayan Mukherjee, Partha Niyogi, Tomaso Poggio, Ryan M. Rifkin. Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization |
195 | -- | 209 | Lyle Noakes. Duality and Riemannian cubics |
211 | -- | 235 | Thomas Sauer. Differentiability of multivariate refinable functions and factorization |
237 | -- | 258 | Robert Schaback, J. Werner. Linearly constrained reconstruction of functions by kernels with applications to machine learning |
259 | -- | 286 | Reinhold Schneider, Yuesheng Xu, Aihui Zhou. An analysis of discontinuous Galerkin methods for elliptic problems |
287 | -- | 304 | Shi Shu, Jinchao Xu, Ying Yang, Haiyuan Yu. An algebraic multigrid method for finite element systems on criss-cross grids |
305 | -- | 322 | Li-lian Wang, Ben-yu Guo. Stair Laguerre pseudospectral method for differential equations on the half line |
323 | -- | 344 | Ding-Xuan Zhou, Kurt Jetter. Approximation with polynomial kernels and SVM classifiers |