Skip to content

Newton ADMM method with linear inequality constraints

Notifications You must be signed in to change notification settings

zl376/admm_newton_con

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Newton ADMM method with linear inequality constraints

Note:

  • Use penalty indicator for inequality constraint
  • Split (canonical) loss and penalty with equality constraint
  • Solve equality constrained problem using ADMM (alternating direction method of multipliers)
  • Primal sub-problem is solved using Newton method (one step)
  • Newton inversion can be done using direct inversion or CG (conjugate gradient)

Require:

  • (Canonical) loss has explicit gradient and hessian.

An example for logistic regression

alt text

About

Newton ADMM method with linear inequality constraints

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published