English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We propose a variant of the classical augmented Lagrangian method forconstrained optimization problems in Banach spaces. Our theoretical frameworkdoes not require any convexity or second-order assumptions and allows thetreatment of inequality constraints with infinite-dimensional image space.Moreover, we discuss the convergence properties of our algorithm with regard tofeasibility, global optimality, and KKT conditions. Some numerical results aregiven to illustrate the practical viability of the method.

An Augmented Lagrangian Method for Optimization Problems in Banach Spaces