Amanote Research

Amanote Research

  • Register
  • Sign In

Regularization Methods for Semidefinite Programming

SIAM Journal on Optimization- United States

doi 10.1137/070704575

Full Text

Abstract

Available in

Categories

Theoretical Computer ScienceSoftware

Date

January 1, 2009

Authors

Jérôme MalickJanez PovhFranz RendlAngelika Wiegele

Publisher

Society for Industrial & Applied Mathematics (SIAM)


Related search

Semidefinite Programming

2014English

Semidefinite Programming

SIAM Review
Computational MathematicsApplied MathematicsTheoretical Computer Science
1996English

Nonsymmetric Search Directions for Semidefinite Programming

SIAM Journal on Optimization
Theoretical Computer ScienceSoftware
1999English

Redundancy in Semidefinite Programming.

English

A Global Algorithm for Nonlinear Semidefinite Programming

SIAM Journal on Optimization
Theoretical Computer ScienceSoftware
2004English

Multiobjective Duality for Convex Semidefinite Programming Problems

Zeitschrift fur Analysis und ihre Anwendung
Applied MathematicsAnalysis
2003English

On Duality Theory for Non-Convex Semidefinite Programming

Annals of Operations Research
Management ScienceDecision SciencesOperations Research
2011English

Validating Numerical Semidefinite Programming Solvers for Polynomial Invariants

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2016English

Low-Rank Semidefinite Programming for the MAX2SAT Problem

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy