Amanote Research
Register
Sign In
An Implementable First-Order Primal-Dual Algorithm for Structured Convex Optimization
Abstract and Applied Analysis
- United States
doi 10.1155/2014/396753
Full Text
Open PDF
Abstract
Available in
full text
Categories
Applied Mathematics
Analysis
Date
January 1, 2014
Authors
Feng Ma
Mingfang Ni
Lei Zhu
Zhanke Yu
Publisher
Hindawi Limited
Related search
A Weighted Full-Newton Step Primal-Dual Interior Point Algorithm for Convex Quadratic Optimization
Statistics, Optimization and Information Computing
Control
Information Systems
Pattern Recognition
Probability
Uncertainty
Computer Vision
Optimization
Statistics
Signal Processing
Artificial Intelligence
Coupled-Decompositions: Exploiting Primal–dual Interactions in Convex Optimization Problems
Eurasip Journal on Advances in Signal Processing
Hardware
Electronic Engineering
Signal Processing
Electrical
Architecture
A Primal-Dual Consensus Algorithm for Convex Problems From Network Control and Estimation*
IFAC Proceedings Volumes
Primal-Dual Interior Point QP-free Algorithm for Nonlinear Constrained Optimization
Journal of Inequalities and Applications
Combinatorics
Applied Mathematics
Analysis
Discrete Mathematics
Implementable Tensor Methods in Unconstrained Convex Optimization
Mathematical Programming, Series B
Mathematics
Software
The Primal-Dual Second-Order Cone Approximations Algorithm for Symmetric Cone Programming
Foundations of Computational Mathematics
Mathematics
Computational Mathematics
Applied Mathematics
Analysis
Computational Theory
An Implementable SAA Nonlinear Lagrange Algorithm for Constrained Minimax Stochastic Optimization Problems
Mathematical Problems in Engineering
Mathematics
Engineering
A Primal-Dual Fixed Point Algorithm for Minimization of the Sum of Three Convex Separable Functions
Fixed Point Theory and Applications
Geometry
Applied Mathematics
Topology
An SDP Primal-Dual Algorithm for Approximating the Lovász-Theta Function
Algorithmica
Applied Mathematics
Computer Science Applications
Computer Science
