An inexact accelerated proximal gradient method and a dual Newton-CG method for the maximal entropy problem
From MaRDI portal
Publication:353167
DOI10.1007/s10957-012-0150-2zbMath1267.90095OpenAlexW2061515899MaRDI QIDQ353167
Publication date: 12 July 2013
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-012-0150-2
Related Items (4)
Randomized Iterative Methods for Linear Systems ⋮ Accelerated sampling Kaczmarz Motzkin algorithm for the linear feasibility problem ⋮ Computing proximal points of convex functions with inexact subgradients ⋮ An algorithm for solution of the Sylvester s‐conjugate linear equation for the commutative elliptic octonions
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Smooth minimization of non-smooth functions
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- An algorithm for maximizing entropy subject to simple bounds
- Entropy optimization and mathematical programming
- Matrix inequalities in statistical mechanics.
- A nonsmooth version of Newton's method
- Semismoothness of solutions to generalized equations and the Moreau-Yosida regularization
- A Newton-CG Augmented Lagrangian Method for Semidefinite Programming
- Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm
- Information Theory and Statistical Mechanics
- Maximum entropy image reconstruction: general algorithm
- A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix
- Optimization and nonsmooth analysis
- A note on solution of large sparse maximum entropy problems with linear equality constraints
- Maximum entropy regularization of Fredholm integral equations of the first kind
- An unconstrained convex programming view of linear programming
- Analysis of Nonsmooth Symmetric-Matrix-Valued Functions with Applications to Semidefinite Complementarity Problems
- Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
- An Inexact Accelerated Proximal Gradient Method for Large Scale Linearly Constrained Convex SDP
- Linear programming with entropic perturbation
This page was built for publication: An inexact accelerated proximal gradient method and a dual Newton-CG method for the maximal entropy problem