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作者:Jianfeng Wang , Zhiyong Zhou , Jun Yu
来源:[J].EURASIP Journal on Advances in Signal Processing(IF 0.807), 2019, Vol.2019 (1), pp.1-12Springer
摘要:... We establish a sufficient condition based on the q -ratio block sparsity for the exact recovery from the noise-free BBP and developed a convex-concave procedure to solve the corresponding non-convex problem in the condition. Furthermore, we prove that for sub-Gaussian random...
作者:Zhiyong Zhou , Jun Yu
来源:[J].Signal Processing(IF 1.851), 2018Elsevier
摘要:Abstract(#br)We study verifiable sufficient conditions and computable performance bounds for sparse recovery algorithms such as the Basis Pursuit, the Dantzig selector and the Lasso estimator, in terms of a newly defined family of quality measures for the measurement matrices. Wi...
作者:Yoon Mo Jung , Sung Ha Kang , Jianhong Shen
来源:[J].SIAM Journal on Applied Mathematics(IF 1.577), 2007, Vol.67 (5), pp.1213-1232JSTOR
摘要:... Since the model is not quadratic nor convex, for computation we adopted the convex-concave procedure (CCCP) that has been developed in the literatures of both computational nonlinear PDEs and neural computation. Numerical details and experiments on both synthetic and natural ...
作者:Chengpu Yu , Lennart Ljung , Michel Verhaegen
来源:[J].IFAC PapersOnLine, 2017, Vol.50 (1), pp.9462-9467Elsevier
摘要:Abstract(#br)Gray-box identification is prevalent in modeling physical and networked systems. However, due to the non-convex nature of the gray-box identification problem, good initial parameter estimates are crucial for a successful application. In this paper, a new identificati...
作者:Kaiping Qu , Shouyuan Shi , Tao Yu ...
来源:[J].Applied Energy(IF 4.781), 2019, Vol.240, pp.630-645Elsevier
摘要:... The upper layer handles the nonconvex gas flow transmission with penalty convex-concave procedure based convexification. The lower layer solves each step of upper layer convexification with alternating direction method of multipliers based decentralized optimization, such tha...
作者:Haiqin Yang , Shenghuo Zhu , Irwin King ...
来源:[C].Information and knowledge management2011ACM
摘要:... For implementation, we make relaxation and approximate the objective by the convex-concave procedure, which turns the original optimization from integral programming problem to a problem by just solving a finite number of quadratic programming problems. Empirical results are ...

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