Parallel variable distribution for constrained optimization

Computational Optimization and Applications

Volumn 22, Issue 1, 2002, Pages 111-131

  Sagastizabal C A ^a,b   Solodov, M V ^b  

^a INRIA ROCQUENCOURT   (France)

^b IMPA   (Brazil)

Author keywords

Constrained optimization; Parallel optimization; Projected gradient; Sequential quadratic programming; Variable distribution

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; GRADIENT METHODS; PARALLEL PROCESSING SYSTEMS; PROBLEM SOLVING;

PARALLEL OPTIMIZATION;

OPTIMIZATION;

EID: 0036540693     PISSN: 09266003     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1014890403681     Document Type: Article

References (22)

1. Parallel variable distribution
2. Parallel variable transformation in unconstrained optimization
3. On practical conditions for the existence and uniqueness of solutions to the general equality quadratic programming problem
4. A globally convergent method for nonlinear programming
5. Optimization by updated conjugate subspaces
6. Iterative methods for large convex quadratic programs: A survey
7. Parallel synchronous and asynchronous space-decomposition algorithms for large-scale minimization problems
8. Parallel gradient distribution in unconstrained optimization
9. Error bounds for strongly convex programs and (super)linearly convergent iterative schemes for the least 2-norm solution of linear programs
10. Two-phase model algorithm with global convergence for nonlinear programming
11. A superlinearly convergent algorithm for constrained optimization problems
12. Error bounds in mathematical programming
13. New inexact parallel variable distribution algorithms
14. On the convergence of constrained parallel variable distribution algorithms
15. Dual coordinate ascent methods for non-strictly convex minimization
16. Testing parallel variable transformation