Efficient iterative method for SOAV minimization problem with linear equality and box constraints and its linear convergence
From MaRDI portal
Publication:2125304
DOI10.1016/j.jfranklin.2022.01.014OpenAlexW4210259591MaRDI QIDQ2125304
Publication date: 14 April 2022
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.01.014
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- On the linear convergence of the alternating direction method of multipliers
- Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach
- Local R-linear convergence of ADMM-based algorithm for \(\ell_1\)-norm minimization with linear and box constraints
- On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
- Control of systems integrating logic, dynamics, and constraints
- Mixed \(\ell_2\) and \(\ell_1\)-norm regularization for adaptive detrending with ARMA modeling
- From error bounds to the complexity of first-order descent methods for convex functions
- An \(\ell_1\)-penalized adaptive normalized quasi-Newton algorithm for sparsity-aware generalized eigen-subspace tracking
- Block-sparsity regularized maximum correntropy criterion for structured-sparse system identification
- Linearly convergent away-step conditional gradient for non-strongly convex functions
- Sparse adaptive channel estimation based on mixed controlled \(l_2\) and \(l_p\)-norm error criterion
- Linear convergence of first order methods for non-strongly convex optimization
- On the $O(1/n)$ Convergence Rate of the Douglas–Rachford Alternating Direction Method
- Iterative Methods for Linear Systems
- Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM
- A unified framework for hybrid control: model and optimal control theory
- Tight Global Linear Convergence Rate Bounds for Operator Splitting Methods
- Solving Basis Pursuit
- Discrete-Valued Control of Linear Time-Invariant Systems by Sum-of-Absolute-Values Optimization
- Quadratic Model Predictive Control Including Input Cardinality Constraints
This page was built for publication: Efficient iterative method for SOAV minimization problem with linear equality and box constraints and its linear convergence
