社区
High-Dimensional DA
课件
帖子详情
【Lecture 18】Nonconvex Optimization: Power Iteration and Fixed Point.
程程程序猿啊
2022-01-05 17:23:20
...全文
315
回复
打赏
收藏
【Lecture 18】Nonconvex Optimization: Power Iteration and Fixed Point.
[图片]
复制链接
扫一扫
分享
举报
写回复
配置赞助广告
回复
切换为时间正序
请发表友善的回复…
发表回复
打赏红包
相关推荐
Large-Scale Nonlinear
Optimization
(
Nonconvex
Optimization
and Its Applications) (Gianni Di Pillo, Massimo Roma)
Large-Scale Nonlinear
Optimization
(
Nonconvex
Optimization
and Its Applications) (Gianni Di Pillo, Massimo Roma)
Linearized Alternating Direction Method of Multipliers for Constrained
Nonconvex
Regularized
Optimization
Linearized Alternating Direction Method of Multipliers for Constrained
Nonconvex
Regularized
Optimization
Nonconvex
dynamic spectrum allocation for cognitive radio networks via particle swarm
optimization
and simulated annealing
Nonconvex
dynamic spectrum allocation for cognitive radio networks via particle swarm
optimization
and simulated annealing
Polite Water-Filling for Weighted Sum-Rate Maximization in MIMO B-MAC Networks Under Multiple Linear Constraints
Optimization
under multiple linear constraints is important for practical systems with individual
power
constraints, per-antenna
power
constraints, and/or interference constraints as in cognitive radios. While for single-user multiple-input multiple-output (MIMO) channel transmitter
optimization
, no one uses general purpose convex programming because water-filling is optimal and much simpler, it is not true for MIMO multiaccess channels (MAC), broadcast channels (BC), and the
nonconvex
optimizat
Big network analytics based on
nonconvex
optimization
The scientific problems that Big Data faces may be network scientific problems. Network analytics contributes a great deal to networked Big Data processing. Many network issues can be modeled as
nonconvex
optimization
problems and consequently they can be addressed by
optimization
techniques. In the pipeline of
nonconvex
optimization
techniques, evolutionary computation gives an outlet to handle these problems efficiently. Because, network community discovery is a critical research agenda of network analytics, in this chapter we focus on the evolutionary computation based
nonconvex
optimization
for network community discovery. The single and multiple objective
optimization
models for the community discovery problem are thoroughly investigated. Several experimental studies are shown to demonstrate the effectiveness of
optimization
based approach for big network community analytics
发帖
High-Dimensional DA
High-Dimensional DA
High-Dimensional DA
复制链接
扫一扫
180
社区成员
39
社区内容
High-Dimensional DA
社区管理员
加入社区
获取链接或二维码
帖子事件
创建了帖子
2022-01-05 17:23
社区公告
暂无公告