skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • Home
  • Search Results
  • Page 1 of 1

Search for: All records

Creators/Authors contains: "Khan, Akhtar A"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; (, Journal of Optimization Theory and Applications)
    Full Text Available 
  2. ; ; (, SIAM Journal on Control and Optimization)
    Full Text Available 
  3. ; ; ; ; (, SIAM/ASA Journal on Uncertainty Quantification)
    Full Text Available 
  4. ; ; ; (, Inverse Problems)
    Full Text Available 
  5. ; ; ; ; (, Optimization)
    Full Text Available 
  6. ; ; ; (, Journal of Nonlinear and Variational Analysis)
    Full Text Available 
  7. ; ; (, Optimization)
    Full Text Available 
  8. ; ; (, Taiwanese Journal of Mathematics)
    We study a convex constrained optimization problem that suffers from the lack of Slater-type constraint qualification. By employing a constructible representation of the constraint cone, we devise a new family of dilating cones and use it to introduce a family of regularized problems. We establish novel stability estimates for the regularized problems in terms of the regularization parameter. To show the feasibility and efficiency of the proposed framework, we present applications to some Lp-constrained least-squares problems. 
    more » « less
    Full Text Available