Inexact Half-Quadratic Optimization for Linear Inverse Problems | Zendy

Marc C. Robini | Zendy; Feng Yang | Zendy; Yuemin Zhu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Inexact Half-Quadratic Optimization for Linear Inverse Problems

Author(s) -

Marc C. Robini,

Feng Yang,

Yuemin Zhu

Publication year - 2018

Publication title -

siam journal on imaging sciences

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.944

H-Index - 71

ISSN - 1936-4954

DOI - 10.1137/17m114635x

Subject(s) - quadratic equation , stationary point , inverse , norm (philosophy) , inverse problem , convergence (economics) , mathematics , conjugate gradient method , mathematical optimization , sequence (biology) , optimization problem , computer science , algorithm , mathematical analysis , geometry , biology , political science , law , economics , genetics , economic growth

We study the convergence of a generic half-quadratic algorithm for minimizing a wide class of $C^{1}$ objectives that occur in inverse imaging problems; this algorithm amounts to solving a sequence...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research