Proximal Algorithms for Structured Nonconvex Optimization
Due to their simplicity and versatility, splitting algorithms are often the methods of choice for many optimization problems arising in engineering. “Splitting” complex problems into simpler subtasks, their complexity scales well with problem size, making them particularly suitable for large-scale applications where other popular methods such as IP
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A fast algorithm for sparse signal recovery via fraction function
In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show
Angang Cui, Haizhen He, Hong Yang
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Neurodynamic Optimization: towards Nonconvexity
The work was supported by the National Natural Science Foundation of China under Grant 60621062 and by the National Key Foundation R&D Project under Grants 2003CB317007, 2004CB318108 and 2007CB311003. It has been partially presented in (Hu, 2007; Hu & Wang, 2006b; Hu & Wang, 2006a; Hu & Wang, 2007a).
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Data and performance profiles applying an adaptive truncation criterion, within linesearch-based truncated Newton methods, in large scale nonconvex optimization. [PDF]
Caliciotti A, Fasano G, Nash SG, Roma M.
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Distributed Nonconvex Optimization for Control of Water Networks with Time-coupling Constraints. [PDF]
Jenks B, Ulusoy AJ, Pecci F, Stoianov I.
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Simultaneous Activity and Attenuation Estimation in TOF-PET With TV-Constrained Nonconvex Optimization. [PDF]
Ren Z +4 more
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A photoacoustic image reconstruction method using total variation and nonconvex optimization. [PDF]
Zhang C, Zhang Y, Wang Y.
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Directivity Maximization of Difference Patterns for Monopulse Microstrip Patch Arrays with Sidelobe Constraints. [PDF]
Li W, Jiao YC, Zhang Y, Zhang L.
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Energy-Efficient 3D Trajectory Optimization and Resource Allocation for UAV-Enabled ISAC Systems. [PDF]
Jing L +5 more
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Global optimization tailored for graphics processing units: Complete and rigorous search for large-scale nonlinear minimization. [PDF]
Zhang G, Shan Q, Cagan J.
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