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Journal of Global Optimization, ISSN 0925-5001, 8/2017, Volume 68, Issue 4, pp. 815 - 826
Journal Article
Mathematical Methods in the Applied Sciences, ISSN 0170-4214, 09/2018, Volume 41, Issue 14, pp. 5481 - 5492
We consider the problem of compressed sensing with a coherent tight frame and design an iteratively reweighted least squares algorithm to solve it. To analyze... 
tight frame | compressed sensing | iteratively reweighted method | sufficient D‐NSP | D‐RIP | sufficient D-NSP | D-RIP | MATHEMATICS, APPLIED | SPARSE REPRESENTATION | UNCERTAINTY PRINCIPLE | MINIMIZATION | Analysis | Algorithms | Wavelet | Fourier transforms | Discrete cosine transform
Journal Article
Journal of Sound and Vibration, ISSN 0022-460X, 10/2019, Volume 458, pp. 376 - 388
Journal Article
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ISSN 1520-6149, 03/2008, pp. 3869 - 3872
Conference Proceeding
Journal of Computational and Applied Mathematics, ISSN 0377-0427, 03/2018, Volume 331, pp. 64 - 81
In this paper, we establish a non-convex norm relaxation model for low Tucker rank tensor recovery problem, and equivalently transform it to a non-convex... 
Tensor completion | [formula omitted] norm | Alternative direction method of multipliers | Iteratively reweighted algorithms | Low Tucker rank tensor recovery | norm | MATHEMATICS, APPLIED | CONVERGENCE | L-p norm | Analysis | Algorithms
Journal Article
2015 IEEE Wireless Communications and Networking Conference (WCNC), ISSN 1525-3511, 03/2015, pp. 2109 - 2114
In a decentralized network where multiple agents exist, each agent takes linearly measurements from the received signal and decodes the corresponding signal by... 
Algorithm design and analysis | Compressive sensing | Wireless networks | decentralized iteratively reweighted algorithm | Signal processing algorithms | ℓ q minimization | Linear programming | Sensors | joint sparse recovery | Optimization | Convergence
Conference Proceeding
by Yu, PR and Pong, TK
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, ISSN 0926-6003, 06/2019, Volume 73, Issue 2, pp. 353 - 386
Iteratively reweighted 1 algorithm is a popular algorithm for solving a large class of optimization problems whose objective is the sum of a Lipschitz... 
Extrapolation | MATHEMATICS, APPLIED | Kurdyka-ojasiewicz property | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Iteratively reweighted l algorithm | Algorithms
Journal Article
Journal of Sound and Vibration, ISSN 0022-460X, 03/2020, Volume 469, p. 115135
This paper introduces a multi-parameter multiplicative regularization for force reconstruction problems. This approach allows exploiting the local prior... 
Vibrations | Mechanics | Acoustics | Engineering Sciences | Mechanics of the structures
Journal Article
Knowledge and Information Systems, ISSN 0219-1377, 03/2018, Volume 54, Issue 3, pp. 541 - 565
To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1007/s10115-017-1069-6 
Stochastic singular value decomposition (SVD) | Iteratively reweighted least squares | PCA | Management science | Business schools | Algorithms | Analysis
Journal Article
Parallel Computing, ISSN 0167-8191, 11/2016, Volume 59, pp. 43 - 59
We present a parallel algorithm for the undirected – min-cut problem with floating-point valued edge weights. Our overarching algorithm uses an iteratively... 
Undirected graphs | s–t min-cut | Laplacian systems | Parallel linear system solvers | Iteratively reweighted least squares | s-t min-cut | MINIMIZATION | MAXIMUM FLOW PROBLEM | COMPUTER SCIENCE, THEORY & METHODS | GRAPH CUTS | Algorithms | Computer science
Journal Article
KNOWLEDGE AND INFORMATION SYSTEMS, ISSN 0219-1377, 03/2018, Volume 54, Issue 3, pp. 541 - 565
Principal component analysis (PCA) is often used to reduce the dimension of data by selecting a few orthonormal vectors that explain most of the variance... 
Stochastic singular value decomposition (SVD) | MATRIX | PROJECTION-PURSUIT APPROACH | COMPUTER SCIENCE, INFORMATION SYSTEMS | L-1 PCA | Iteratively reweighted least squares | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PCA
Journal Article
Knowledge and Information Systems, ISSN 0219-1377, 3/2018, Volume 54, Issue 3, pp. 541 - 565
Journal Article
by Zhou, XQ and Hou, RR and Wu, YH
ADVANCES IN STRUCTURAL ENGINEERING, ISSN 1369-4332, 04/2019, Volume 22, Issue 6, pp. 1479 - 1487
Structural damage usually appears in a few sections or members only, which is sparse compared with the total elements of the entire structure. According to the... 
model updating | ONLY MODAL IDENTIFICATION | RECONSTRUCTION | SIGNALS | sparsity | vibration methods | iteratively reweighted l regularization | RECOVERY | ENGINEERING, CIVIL | CONSTRUCTION & BUILDING TECHNOLOGY | FREQUENCY | structural damage detection | l regularization | PARAMETER
Journal Article
Advances in Structural Engineering, ISSN 1369-4332, 04/2019, Volume 22, Issue 6, pp. 1479 - 1487
Journal Article
Journal of Scientific Computing, ISSN 0885-7474, 07/2017, Volume 72, Issue 1, pp. 172 - 197
Journal Article
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