1 |
Bertsekas D P . Incremental least squares methods and the extended kalman filter[J]. SIAM Journal on Optimization, 1996, 6 (3): 807- 822.
doi: 10.1137/S1052623494268522
|
2 |
Bertsekas D P . A new class of incremental gradient methods for least squares problems[J]. SIAM Journal on Optimization, 1997, 7 (4): 913- 926.
doi: 10.1137/S1052623495287022
|
3 |
Moriyama H , Yamashita N , Fukushima M . The incremental Gauss-Newton algorithm with adaptive stepsize rule[J]. Computational Optimization and Applications, 2003, 26 (2): 107- 141.
doi: 10.1023/A:1025703629626
|
4 |
Gurbuzbalaban M , Ozdaglar A , Parrilo P . A globally convergent incremental newton method[J]. Mathematical Programming, 2015, 151 (1): 283- 313.
doi: 10.1007/s10107-015-0897-y
|
5 |
Blatt D , Hero A , Gauchman H . A convergent incremental gradient method with a constant stepsize[J]. SIAM Journal on Optimization, 2007, 18 (1): 29- 51.
doi: 10.1137/040615961
|
6 |
Bottou L , Le Cun Y . On-line learning for very large data sets[J]. Applied Stochastic Models in Business and Industry, 2005, 21 (2): 137- 151.
doi: 10.1002/asmb.538
|
7 |
Roux N L, Schmidt M, Bach F R. A stochastic gradient method with an exponential convergence rate for finite training sets [C]//ICONIP 2018 2018: 25th International Conference on Neural Information Processing Systems, 2018.
|
8 |
Grippo L . A class of unconstrained minimization methods for neural network training[J]. Optimization Methods and Software, 1994, 4 (2): 135- 150.
doi: 10.1080/10556789408805583
|
9 |
Mangasarian O L , Solodov M V . Serial and parallel backpropagation convergence via nonmonotone perturbed minimization[J]. Optimization Methods and Software, 1994, 4 (2): 103- 116.
doi: 10.1080/10556789408805581
|
10 |
Bertsekas D P , Tsitsiklis J N . Gradient convergence in gradient methods with errors[J]. SIAM Journal on Optimization, 2000, 10 (3): 627- 642.
doi: 10.1137/S1052623497331063
|
11 |
BertsekasD P. 非线性规划[M]. 第2版 北京: 清华大学出版社, 2013.
|
12 |
王宜举, 修乃华. 非线性最优化理论与方法[M]. 北京: 科学出版社, 2015.
|
13 |
袁亚湘, 孙文瑜. 最优化理论与方法[M]. 北京: 科学出版社, 2007.
|
14 |
陈宝林. 最优化理论与算法[M]. 北京: 清华大学出版社, 2005.
|
15 |
马昌凤, 柯艺芬, 谢亚君. 最优化计算方法及其MATLAB程序实现[M]. 北京: 国防教育出版社, 2017.
|
16 |
Trefethen . Spectral Methods in MATLAB[M]. New York: SIAM, 2000.
|
17 |
Rabbat M G, Nowak R D. Decentralized source localization and tracking[C]//2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, New York: IEEE, 2004.
|
18 |
Sheng X , Hu Y H . Information Processing in Sensor Networks[M]. California: Springer, 2003.
|
19 |
Chen J C , Yao K , Hudson R E . Source localization and beamforming[J]. IEEE Signal Processing Magazine, 2002, 19, 30- 39.
doi: 10.1109/79.985676
|
20 |
Huber P . Robust Statistics[M]. New York: John Wiley and Sons, 1981.
|
21 |
Polyak B T . Introduction to Optimization[M]. New York: Chapman & Hall, 1987.
|
22 |
Rey W J J . Introduction to Robust and Quasi-Robust Statistical Methods[M]. Berlin: SpringerVerlag, 1983.
|
23 |
Shor N Z . Minimization Methods for Non-differentiable Functions[M]. Kiev: Naukova Dumka, 1979.
|