古文字学 发表于 2025-3-26 22:14:55

Continuous Subgradient Method,w that our algorithms generate a good approximate solution, if computational errors are bounded from above by a small positive constant. Moreover, for a known computational error, we find out what an approximate solution can be obtained and how much time one needs for this.

Malleable 发表于 2025-3-27 03:06:26

http://reply.papertrans.cn/67/6692/669151/669151_32.png

小口啜饮 发表于 2025-3-27 06:58:19

http://reply.papertrans.cn/67/6692/669151/669151_33.png

indicate 发表于 2025-3-27 11:52:48

Subgradient Projection Algorithm,f convex–concave functions, under the presence of computational errors. We show that our algorithms generate a good approximate solution, if computational errors are bounded from above by a small positive constant. Moreover, for a known computational error, we find out what an approximate solution c

过去分词 发表于 2025-3-27 14:40:53

The Mirror Descent Algorithm,erate a good approximate solution, if computational errors are bounded from above by a small positive constant. Moreover, for a known computational error, we find out what an approximate solution can be obtained and how many iterates one needs for this.

Thyroid-Gland 发表于 2025-3-27 19:06:56

Gradient Algorithm with a Smooth Objective Function,rs. We show that the algorithm generates a good approximate solution, if computational errors are bounded from above by a small positive constant. Moreover, for a known computational error, we find out what an approximate solution can be obtained and how many iterates one needs for this.

纹章 发表于 2025-3-28 00:49:30

http://reply.papertrans.cn/67/6692/669151/669151_37.png

Cantankerous 发表于 2025-3-28 03:37:01

http://reply.papertrans.cn/67/6692/669151/669151_38.png

HERE 发表于 2025-3-28 06:24:41

http://reply.papertrans.cn/67/6692/669151/669151_39.png

除草剂 发表于 2025-3-28 11:19:05

http://reply.papertrans.cn/67/6692/669151/669151_40.png
页: 1 2 3 [4] 5 6
查看完整版本: Titlebook: Numerical Optimization with Computational Errors; Alexander J. Zaslavski Book 2016 Springer International Publishing Switzerland 2016 nonl