K. S. Vishnevetskiy, “Comparison of Purely Greedy and Orthogonal Greedy Algorithm”, Math Notes, 115, no. 1-2, 2024, 37
Jian Fang, Shaobo Lin, Zongben Xu, “Learning and approximation capabilities of orthogonal super greedy algorithm”, Knowledge-Based Systems, 95, 2016, 86
R. A. DeVore, V. N. Temlyakov, “Convex Optimization on Banach Spaces”, Found Comput Math, 16, no. 2, 2016, 369
L. Burusheva, V. Temlyakov, “Sparse approximation of individual functions”, Journal of Approximation Theory, 259, 2020, 105471
Lin Xu, Shaobo Lin, Zongben Xu, “Learning capability of the truncated greedy algorithm”, Sci. China Inf. Sci., 59, no. 5, 2016, 052103
Yao Wang, Xu Liao, Shaobo Lin, “Rescaled Boosting in Classification”, IEEE Trans. Neural Netw. Learning Syst., 30, no. 9, 2019, 2598
Michael Griebel, Peter Oswald, “Schwarz Iterative Methods: Infinite Space Splittings”, Constr Approx, 44, no. 1, 2016, 121
A.V. Dereventsov, V.N. Temlyakov, “A unified way of analyzing some greedy algorithms”, Journal of Functional Analysis, 277, no. 12, 2019, 108286
Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu, “Shrinkage Degree in L₂-Rescale Boosting for Regression”, IEEE Trans. Neural Netw. Learning Syst., 2016, 1
Xianhe Wang, Xu Xu, Peixin Ye, Wenhui Zhang, “Approximation properties of some vector weak biorthogonal greedy algorithms”, Int. J. Wavelets Multiresolut Inf. Process., 22, no. 06, 2024, 2450033